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Join the Clean Energy RevolutionBecome a Data Analytics Advisor in the Customer Analytics team at Southern California Edison (SCE) and help build a better tomorrow. In this role, you will develop advanced SQL queries, optimize Snowflake-based data solutions, and implement GenAI-driven analytics to deliver actionable insights that improve operational efficiency and enhance customer experience. As a Data Analytics Advisor, your work will help power our planet, reduce carbon emissions, and create cleaner air for everyone. Are you ready to take on the challenge and help us build the future?<h4>Responsibilities</h4><ul><li>Gather relevant data from various sources, including databases, spreadsheets, APIs, or data warehouses and ensure data integrity by cleaning and preprocessing it to remove errors, inconsistencies, or missing values that could affect the accuracy of the analysis</li><li>&nbsp;Use statistical and analytical techniques to explore and examine cleaned data; apply methods like descriptive statistics, data mining, predictive modeling, and machine learning algorithms to identify patterns, relationships, and trends within the data</li><li>Transform data into visual representations such as charts, graphs, and dashboards; visualizations should present insights and findings clearly and concisely, enabling stakeholders to understand the information easily and make data-driven decisions</li><li>Create reports and summaries that effectively communicate analysis and findings to non-technical audiences; reports should include key metrics, data visualizations, and actionable recommendations to help stakeholders understand data implications and make informed decisions</li><li>Continually monitor data quality, track performance metrics, and analyze new data to ensure the relevance and accuracy of insights and assist in evaluating and improving data analytics methodologies and processes for enhanced efficiency and effectiveness</li><li>Work with cross-functional teams, including data scientists, business analysts, and stakeholders from different departments, to define analytic objectives, align data analysis with business needs and communicate insights effectively</li><li>A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity</li></ul><h4>Minimum Qualifications</h4><ul><li>Seven or more years of experience performing data analysis.</li><li>Experience using a variety of data tools and software.</li></ul>Preferred Qualifications<ul><li>5 years’ experience in SQL or other scripting languages such as Python with experience writing complex queries and optimizing performance</li><li>3+ years of hands-on experience with Snowflake or other cloud-based analytics platform, including Data modeling ETL development and orchestration, performance tuning and query optimization</li><li>Experience with GenAI tools or frameworks for data analysis or automation</li><li>Understanding utility industry operations, especially in customer service domains</li><li>Experience building or working with APIs to integrate external data sources into Snowflake, supporting real-time or automated data ingestion workflows</li><li>Experience working with SAS</li></ul>Additional Information<ul><li>This position’s work mode is hybrid.&nbsp;The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.</li><li>Visit our&nbsp;Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!</li><li>Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</li><li>The primary work location for this position is Irwindale, CA.</li></ul>About Southern California EdisonThe people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.

Southern California Edison

Data Analytics, Advisor

Join the Clean Energy RevolutionBecome a&nbsp;Data Science/Predictive Analytics Senior Specialist at Southern California Edison (SCE) and build a better tomorrow. In this job, you will be responsible for working closely with internal clients, Subject Matter Experts, information architects, data engineers, process leads, project/program managers, and other teams to turn data into critical information and knowledge that can be used to make data informed business decisions.You will work in the Business Intelligence Center (BIC) within Customer Service, developing predictive analytics solutions. You'll support internal clients by solving complex problems and enhancing business and customer experiences. Your tasks include analyzing large data sets, building advanced analytical models, and generating actionable insights for decision-making. You will collaborate with cross-functional teams, leveraging advanced statistical methods, machine learning techniques, and AI technology to solve real-world problems.You will be accountable for partnering with OU clients to understand business problems, identify opportunities for improvement, and incorporate analytics solutions into business processes, to ensure analytics solutions deliver positive business value and are directly associated with OU goals.Primary responsibilities will include:<ul><li>Collaborate with team members and stakeholders to support solutions for data-driven business challenges.</li><li>Build and implement predictive and prescriptive models to improve decision-making.</li><li>Assist in identifying opportunities for AI, machine learning, and data science to address business needs.</li><li>Translate defined business objectives into actionable requirements for AI/ML models.</li><li>Contribute to the design and development of AI/ML models using established techniques and frameworks.</li><li>Apply machine learning algorithms and data mining methods to analyze datasets and generate insights.</li><li>Monitor model performance and support enhancements to maintain accuracy and reliability.</li><li>Follow established processes and governance standards for ethical, explainable, and reproducible AI/ML solutions.</li><li>Stay informed on emerging tools and techniques; share recommendations with the team.</li><li>Participate in team knowledge-sharing and professional development activities.</li><li>Ensure compliance with security and integrity standards when handling sensitive data and assets.</li></ul>As a Data Science/Predictive Analytics Senior Specialist, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?<h4>Responsibilities</h4><ul><li>Engages diverse stakeholders including data scientists, business clients, data engineers, SMEs and team members to define solutions to complex business problems requiring advanced analytics and modeling</li><li>Develops predictive and prescriptive data models using machine learning, statistical modeling and other advanced techniques to uncover insights that improve data-driven decision making across the organization</li><li>Identifies high-value use cases across business functions and domains to apply artificial intelligence, machine learning and data science to solve previously intractable business problems</li><li>Translates specific business challenges into well-defined objectives, requirements and success criteria for developing appropriate AI/ML models and solutions</li><li>Designs, develops and thoroughly evaluates innovative AI/ML models leveraging techniques like neural networks, deep learning and reinforcement learning to create predictive capabilities</li><li>Applies cutting-edge machine learning algorithms and data mining techniques to extract key insights and make accurate predictions from large, varied and complex datasets</li><li>Continuously monitors and enhances AI/ML models for improved performance; tracks key metrics to validate models against desired outcomes</li><li>Develops AI/ML solutions following established processes and model governance practices for ethics, explainability, reproducibility and ongoing maintenance</li><li>Researches and evaluates new and emerging AI/ML tools, techniques and technologies; makes recommendations on their potential business application and impact</li><li>Develops peer relationships and participates in industry groups and events to stay current on data science</li><li>A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.</li></ul><h4>Minimum Qualifications</h4><ul><li>Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics.</li><li>Three or more years of experience in data analytics related work.*PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit.</li></ul>Preferred Qualifications<ul><li>Bachelor's Degree (or higher) in an Applied Sciences or STEM discipline.</li><li>Industry certifications in data science, machine learning, or cloud analytics (e.g., AWS Certified Machine Learning, Microsoft Certified Data Scientist).</li><li>Coding: Proficiency in Python, or Scala, SQL, SAS etc.</li><li>Advanced proficiency in machine learning and predictive modeling.</li><li>Database systems: MySQL, PostgreSQL, or MSSQL.</li><li>Big Data Analytics: Hadoop environment, Hive, Pig or Spark.</li><li>Two or more years of experience working GCP, Azure, Snowflake, Databricks, and PowerBI.</li><li>Three or more years of experience using machine Learning methods such as deep learning, Bayesian methods, time series analysis, boosting, and bagging.</li><li>Formulate high-level business goals as data science problems. Identify appropriate machine learning or data mining algorithms to solve various electric utility problems.</li><li>Experience developing or deploying Gen AI-based solutions (e.g./ prompt engineering, summarization, text classification, or workflow automation.</li><li>Capable of learning from state-of-the-art technical articles and reports. Has the ability to tailor state-of-the-art algorithms to solve the problem at hand, Has the ability to create insightful interpretations of the results.</li><li>Ability to effectively communicate technical content to non-technical audience at all levels, including individual contributor, frontline manager, middle management, and executives.</li><li>Broad understanding of the electric utility industry and its regulatory environment.</li></ul>Additional Information<ul><li>This position’s work mode is&nbsp;hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.</li><li>Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!</li><li>Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</li><li>The primary work location for this position is Irwindale, CA.</li><li>Relocation does not apply to this position.</li></ul>About Southern California EdisonThe people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.

Data Science/Predictive Analytics Senior Specialist

Join the Clean Energy RevolutionBecome a Data Analytics Senior Specialist in the Customer Analytics team at Southern California Edison (SCE) and help build a better tomorrow. In this role, you will conduct operational analyses using advanced data analytics techniques, develop dashboards and reports, and leverage SQL and GenAI tools to generate actionable insights that enhance customer experience and drive measurable business outcomes. As a Data Analytics Senior Specialist, your work will help power our planet, reduce carbon emissions, and create cleaner air for everyone. Are you ready to take on the challenge and help us build the future?<h4>Responsibilities</h4><ul><li>Extract, transform, and automatically load data from various sources.</li><li>Develops and maintain scripts for data cleaning, statistical analysis, and reporting.</li><li>Apply statistical techniques to analyze program data, identifying trends, patterns, and correlations.</li><li>Develops reports, dashboards, and visualizations using SAS and other tools to communicate findings effectively.</li><li>Evaluates program effectiveness by assessing key metrics.</li><li>Quantify the impact of interventions and identify areas for improvement.</li><li>Collaborate with stakeholders to identify data requirements and ensure accurate results.</li><li>Ensure data accuracy, consistency, and integrity.</li><li>A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.</li></ul><h4>Minimum Qualifications</h4><ul><li>Five or more years of experience performing data analysis.</li><li>Experience using a variety of data tools and software.</li></ul>Preferred Qualifications<ul><li>3 years’ experience in SQL or other scripting languages such as Python with experience writing complex queries and optimizing performance</li><li>2+ years of hands-on experience with Snowflake or other cloud-based data analytics platforms, including Data modeling ETL development and orchestration, Performance tuning and query optimization</li><li>Proficiency in dashboarding tools (e.g., PowerBI, Tableau)</li><li>Experience with GenAI tools or frameworks for data analysis or automation</li><li>Understanding utility industry operations, especially in customer service domains</li><li>Experience performing analysis, testing hypotheses, and generating customer insights</li><li>Experience working with SAS</li></ul>Additional Information<ul><li>This position’s work mode is hybrid.&nbsp;The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.</li><li>Visit our&nbsp;Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!</li><li>Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</li><li>The primary work location for this position is Irwindale, CA.</li></ul>About Southern California EdisonThe people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.

Data Analytics Senior Specialist

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.Summary:This role serves as a strategic business partner to the Oncology Global Commercial Strategy team, driving ongoing commercialization efforts.The position is recognized as a trusted advisor, embedding customer and market insights into critical business decisions. It collaborates with key stakeholders to inform strategic and tactical choices through market research, forecasting, and secondary data analytics. By executing comprehensive business analyses, the role enhances value for patients through deep market understanding, subject matter expertise, and practical application.Responsibilities:<ul><li>Delivers integrated insights across various analytical functions such as forecasting, market research, secondary data analytics to address key business questions and drive performance</li><li>Supports culture of fact-based decision making through application of best-in-class, innovative, and appropriate methodologies to address key business questions</li><li>Effectively collaborates with a broad set of cross functional counterparts (including Oncology Brand Leadership, Research and Development, Medical, Finance, and Country Business Units) to achieve organizational objectives</li><li>Proactively manages flow of planned and ad hoc analytics requests, ensuring consistent quality and timeliness in delivery to business stakeholders</li><li>Develops seamless, collaborative, cross-functional approaches to problem solving which supports short- and long-term commercial strategy</li><li>Develops and maintains a deep understanding of Global Oncology brand priorities</li><li>Understands, demonstrates, and drives adherence to all BMS operating policies</li></ul>Qualifications:<ul><li>BA/BS in relevant functional discipline required; Advanced degree preferred</li><li>Minimum 8 years relevant work experience</li><li>Prior Pharmaceutical industry and/or consulting experience preferred</li><li>Experience independently leading commercialization analytics projects as described in position summary, including exposure to advanced techniques (e.g., behavioral science and advanced quantitative models)</li><li>Ability to draw inferences from disparate pieces of data, identify key findings and link to implications and provide recommendations</li><li>Highly collaborative team player with ability to effectively influence in an organization with a complex matrix of stakeholders</li><li>Exceptional communication and influencing skills delivered with polish and credibility</li><li>Strong unstructured problem-solving skills to answer key business questions</li><li>Proven ability to manage multiple projects and stakeholders, meet tight deadlines, and operate with agility and speed</li><li>Proven track-record of seamlessly managing individuals across an organization</li><li>Proven ability to lead teams, influence cross-functionally, prioritize and balance competing business workstreams</li></ul>If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Compensation Overview:Princeton - NJ - US: $197,800 - $239,681 &amp;#xa;The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.&nbsp; Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit <a href="https://careers.bms.com/life-at-bms/" target="_blank">https://careers.bms.com/life-at-bms/</a>. Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year’s holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site ProtocolBMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.Supporting People with DisabilitiesBMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to <a href="mailto:adastaffingsupport@bms.com" target="_blank">adastaffingsupport@bms.com</a>. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.Candidate RightsBMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:&nbsp;<a href="https://careers.bms.com/california-residents/" target="_blank">https://careers.bms.com/california-residents/</a>Data ProtectionWe will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at <a href="https://careers.bms.com/fraud-protection" target="_blank">https://careers.bms.com/fraud-protection</a>.Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Bristol Myers Squibb

Director, WW Commercialization Analytics- Oncology

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.This position is a technical individual contributor on the Automation Control Systems Team. This individual will be responsible for providing data engineering and analytics solutions for biologics manufacturing suites. This individual will maintain, configure, administer, and troubleshoot the AVEVA PI System, SIMCA, and other system interfaces supporting the data historization and analytics for the Devens Biologics suites.Responsibilities<ul><li>Provide input to all design decisions regarding integration into Data Analytics systems.</li><li>Interface with the Digital Plant Automation Control Systems Software team and the user groups to develop requirements and designs to meet the business needs.</li><li>Ensure technical delivery of any updates to the Data Analytics systems as endorsed by leadership team to meet business objectives.</li><li>Promote the use of data analytics to support achievement of site business goals. This includes promoting awareness and training on data analytics tools and techniques across site.</li><li>Hands on development and implementation of analytics tools based on complex user requirements across multiple platforms and functional areas with limited guidance.&nbsp;</li><li>Perform troubleshooting utilizing critical thinking skills and techniques such as root cause analysis to resolve incidents in a timely fashion with minimal guidance.&nbsp;</li><li>Responsible for the execution and creation, review, and approval of documentation associated with procedure-driven compliance activities such as periodic reviews and on-site application recovery (OAR).</li><li>Initiate continuous improvement tasks to improve operational robustness and efficiency.</li><li>Work in collaboration with Validation, Quality and Manufacturing Engineering and Manufacturing operations to keep the operations on site functional.</li><li>Support key business processes such as audit, investigation and CAPA.</li></ul>Specific Knowledge, Skills, Abilities:Required•2+ years experience with AVEVA PI Historian.•Working experience with Microsoft Windows Server in a domain setting, technical knowledge of network configuration, and competency with navigating complex virtualized computing environments.•Working experience administering relational databases with RDBMS tools such as Microsoft SQL Server Management Studio. Basic to intermediate competency with SQL.•Track record of delivering on small, well-scoped technical projects and tasks. Ability to manage small projects with minimal guidance. •Familiarity with common manufacturing systems such as DCS, MES, and CMMS.•Experience with data flows and interfaces associated with bench-top instrumentation, and system integration protocols a plus.•Excellent communication skills including oral, written, and formal presentations. Ability to clearly communicate technical information to a variety of audiences.•Exercise sound judgment in making decisions and recommendations within generally defined practices and policies and notify senior management when necessary.Preferred•At least one year experience working on the floor in a manufacturing process environment required, preferably in chemical or biotechnology.•Experience with Validation Lifecycle Management Systems (Valgenesis, or similar).•Experience with Distributed Control Systems and Historians.Bachelor’s degree in engineering or its equivalent.•Bachelor’s or Master’s Degree in Engineering, Information Systems, Computer Science or the Life Sciences and minimum of four (4) years experience providing information systems solutions. #LI-HybridIf you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Compensation Overview:Devens - MA - US: $96,590 - $117,039&amp;#xa;The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.&nbsp; Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit <a href="https://careers.bms.com/life-at-bms/" target="_blank">https://careers.bms.com/life-at-bms/</a>. Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year’s holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site ProtocolBMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.Supporting People with DisabilitiesBMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to <a href="mailto:adastaffingsupport@bms.com" target="_blank">adastaffingsupport@bms.com</a>. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.Candidate RightsBMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:&nbsp;<a href="https://careers.bms.com/california-residents/" target="_blank">https://careers.bms.com/california-residents/</a>Data ProtectionWe will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at <a href="https://careers.bms.com/fraud-protection" target="_blank">https://careers.bms.com/fraud-protection</a>.Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Data Analytics Engineer

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.Why join Harvard Medical School?Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership.You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine. Job Description We are seeking a Junior Bioinformatician to join the laboratory of Ting Wu at Harvard Medical School as part of a project to study genome organization, function, and evolution, including sequence conservation. The successful candidate will contribute to computational studies in this context. Ideal qualities include experience in handling complex data analysis, a strong motivation to learn, attention to detail in data analysis, a collaborative spirit, creativity, and open-mindedness. The candidate will work closely within an interdisciplinary team comprising geneticists, engineers, biochemists, and microscopy experts, receiving direct mentorship and guidance from senior lab members. We are particularly interested in candidates with hands-on experience with structural variant analysis (including point mutations and chromosomal rearrangements) and a strong understanding of the interpretation and analysis of genomic variant data (e.g., VCF files).Specific Responsibilities:The candidate will assist in addressing key questions in genetics, focusing on the role of sequence conservation in maintaining genome integrity. This will entail:<ol><li>Collaborating with senior team members to design and perform computational analyses using established and innovative methods.&nbsp;<ol><li>Writing and executing scripts for various computational and statistical analyses (e.g., Python/R, Command Line, Shell, MATLAB, and widely-used genomic tools such as Bedtools, SAMtools, and Bowtie; with a willingness to learn new tools such as PyTorch, and machine learning methods).</li><li>Utilizing expertise in SV calling and interpretation of VCF files to support genomic analyses and data quality control.</li><li>Assisting in researching and obtaining access to publicly available structural variant and SNV databases to support studies (e.g., gnomAD, 1000 Genomes, UK Biobank, T2T Consortium, TCGA, SFARI, etc.) that align with the research goals of the lab.</li></ol></li><li>Contributing to the management of data and organization of sub-projects, with support and supervision from more experienced lab members.</li><li>Staying updated on relevant literature and emerging computational tools.</li><li>Participating in regularly scheduled weekly meetings with the senior bioinformatician to formally report and discuss results. There will also be opportunities to share key findings during lab meetings.</li><li>Collaborating with colleagues within and outside the laboratory and participating in training sessions on computational methods. &nbsp;</li></ol> Qualifications Basic Qualifications: <ul><li>4 or more years of experience required. Higher education may count toward years of experience</li></ul> 
Additional Qualifications and Skills: <ul><li>Bachelor's degree in biological science or related field preferred&nbsp;</li><li>Training and experience in biology, molecular biology, computational biology, data science, statistics, or related fields.</li><li>Proficiency in Python, R, and MATLAB, with experience in cloud or cluster computing, preferred.&nbsp;</li><li>Strong verbal and written communication skills are required.</li></ul> Additional Information <ul><li>Term:&nbsp;This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position.&nbsp;</li><li>Standard Hours/Schedule: 35 hrs. per week | Monday - Friday | 9:00 am - 5:00 pm</li><li>Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.</li><li>Pre-Employment Screening: Identity</li><li>Other Information:&nbsp;Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.</li><li>Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal.</li></ul>#LI-DK1Work Format DetailsThis position has been determined by school or unit leaders that all duties and responsibilities must be performed at a Harvard or Harvard-designated location. Certain visa types may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and RangesThis position is salary grade level 055. Please visit &nbsp;<a href="https://hr.harvard.edu/salary-ranges" target="_blank">Harvard's Salary Ranges</a>  to view the corresponding salary range and related information.&nbsp;
BenefitsHarvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:&nbsp;<ul><li>Generous paid time off including parental leave&nbsp;</li><li>Medical, dental, and vision health insurance coverage starting on day one&nbsp;</li><li>Retirement plans with university contributions&nbsp;</li><li>Wellbeing and mental health resources&nbsp;</li><li>Support for families and caregivers&nbsp;</li><li>Professional development opportunities including tuition assistance and reimbursement&nbsp;</li><li>Commuter benefits, discounts and campus perks&nbsp;</li></ul>Learn more about these and additional benefits on our <a href="https://hr.harvard.edu/benefits-wellbeing" target="_blank">Benefits &amp; Wellbeing Page</a>.&nbsp;
EEO/Non-Discrimination Commitment StatementHarvard University is committed to <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal opportunity</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination</a>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.Harvard has an <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a>. Harvard's <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a> help all community members participate fully in work and campus life free from harassment and discrimination.

Harvard University FAS Human Resources

Junior Bioinformaticist

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.Why join Harvard Medical School?Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership.You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine. Job Description The Department of Global Health and Social Medicine at Harvard Medical School and the Paul Farmer Collaborative are seeking a highly organized and proactive Research Coordinator to support the research, grants, administrative, and training initiatives of two faculty members. This full-time position offers an exciting opportunity to contribute to impactful global health research and capacity-building efforts across international sites and collaborating organizations.Key Responsibilities:Research Coordination<ul><li>Oversee the preparation and submission of research protocols, IRB applications, amendments, and compliance documentation.</li><li>Liaise with international research partners and community-based organizations to facilitate collaborative projects. Maintain research databases, ensuring adherence to data quality, integrity, and security standards.</li><li>Organize and facilitate research meetings, workshops, and academic conferences, including developing agendas and documenting outcomes.</li><li>Assist in preparing presentations, technical reports, and academic manuscripts for publication.</li><li>Support and mentor student researchers affiliated with faculty members.</li></ul>Grants Program and Training Coordination<ul><li>Administer the Paul Farmer Collaborative’s grants program and training initiatives, including communications with applicants and participants.</li><li>Assist with grant budget development, proposal formatting, and timely submission of applications.</li><li>Coordinate all phases of grant management, including submission, review, award, compliance tracking, and post-award administration.</li><li>Monitor and report on program and grant compliance, financial status, and progress milestones.</li><li>Maintain comprehensive databases for grants and training program participants; prepare regular updates and summary reports.</li><li>Manage the application, review, and implementation processes for training programs.</li></ul>Administrative Support <ul><li>Provide high-level administrative support to two faculty members, including managing calendars, correspondence, and scheduling.</li><li>Coordinate domestic and international travel arrangements and process reimbursements for faculty and research staff.</li><li>Serve as a key point of contact, collaborating with internal departments, Harvard administrative units, and external partners.</li></ul> Qualifications Basic Qualifications: <ul><li>College Degree or relevant work experience.</li><li>3 or more years related work experience (relevant course work may count towards experience).</li></ul> 
Additional Qualifications and Skills: <ul><li>Master's degree in public health, global health, or related field.</li><li>Experience with global health research, particularly in low- and middle-income countries.</li><li>Knowledge of social medicine principles and health equity frameworks.</li><li>Experience with qualitative and quantitative research methodologies.</li><li>Experience with grant writing, submission processes, and compliance monitoring.</li><li>Experience working in multicultural, international environments.</li><li>Familiarity with Harvard University systems and procedures.</li><li>Familiarity with academic publishing and manuscript preparation.</li><li>Experience with community-based participatory research approaches.</li></ul> Additional Information <ul><li>Term:&nbsp;This is a 2-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position.&nbsp;</li><li>Standard Hours/Schedule: 40 hrs. per week | Monday - Friday | 8:00 am - 5:00 pm</li><li>Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.</li><li>Pre-Employment Screening: Identity, Education</li><li>Other Information:&nbsp;Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.</li><li>Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal.</li></ul>#LI-KM2Work Format DetailsThis position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on <a href="https://harvie.harvard.edu/sites/g/files/omnuum12046/files/humanresources/files/employment_outside_ma_policy.pdf" target="_blank">Employment Outside of Massachusetts</a>. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and RangesThis position is salary grade level 055. Please visit &nbsp;<a href="https://hr.harvard.edu/salary-ranges" target="_blank">Harvard's Salary Ranges</a>  to view the corresponding salary range and related information.&nbsp;
BenefitsHarvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:&nbsp;<ul><li>Generous paid time off including parental leave&nbsp;</li><li>Medical, dental, and vision health insurance coverage starting on day one&nbsp;</li><li>Retirement plans with university contributions&nbsp;</li><li>Wellbeing and mental health resources&nbsp;</li><li>Support for families and caregivers&nbsp;</li><li>Professional development opportunities including tuition assistance and reimbursement&nbsp;</li><li>Commuter benefits, discounts and campus perks&nbsp;</li></ul>Learn more about these and additional benefits on our <a href="https://hr.harvard.edu/benefits-wellbeing" target="_blank">Benefits &amp; Wellbeing Page</a>.&nbsp;
EEO/Non-Discrimination Commitment StatementHarvard University is committed to <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal opportunity</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination</a>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.Harvard has an <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a>. Harvard's <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a> help all community members participate fully in work and campus life free from harassment and discrimination.

Research Coordinator - Paul Farmer Collaborative

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.Why join the Harvard John A. Paulson School of Engineering and Applied Sciences?At the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), we work within and beyond the disciplines of engineering and foundational science to address the most pressing issues of our time. Through teaching and collaborative research, SEAS discovers, designs, and creates novel technologies and approaches to societal challenges – in service to the world, the nation, and our community. We collaborate across academic areas at SEAS and the larger university, and with colleagues in academia, industry, government and public service organizations beyond Harvard. By joining SEAS, you will be part of an inclusive community of dedicated problem-solvers who hold themselves – and one another – to the highest academic and professional standards. To learn more about us, please visit <a href="https://seas.harvard.edu/" target="_blank">https://seas.harvard.edu/</a>. Job Description Job Summary: The Research Portfolio Manager (RPM) is responsible for managing a portfolio of sponsored and non-sponsored funds for a group of Principal Investigators (PIs) at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS). The position reports to an Assistant Director for Research Administration and Finance. The RPM is a member of a faculty support team that provides the best possible customer service to the PI and lab members in support of their research activities. They use independent judgment and problem-solving skills to ensure compliance with sponsor and donor regulations, School and University policies, and Area procedures. This is a high-volume, fast-paced, and dynamic environment. 
Job-Specific Responsibilities: <ul><li>Provides life-cycle grant support.</li><li>Pre-award responsibilities include providing direct support to faculty and administrators with proposal preparation, developing budgets, budget justifications, supporting documentation, and required institutional information. Shepherds supported proposals through the SEAS and University proposal review and submission process. Ensures compliance with federal regulations and University, SEAS and sponsor policies.</li><li>Post-award duties include monthly budget and expenditure reconciliation, financial projections, interpreting financial policies and applying best practices in order to effectively communicate financial reporting to PI, sponsors, and related University offices. 
Utilizing the PI Dashboard and OBI, manages faculty-designated funding (sponsored and non-sponsored funds), including monitoring balances and deficits, performing spending projections, developing financial reports, and maintaining working knowledge of basic fund information (terms and end dates).</li><li>Conducts financial analysis; presents financial reports that include committed and available balances across all funds, both sponsored and non-sponsored. Utilizes the PI Dashboard and OBI for these and other ad hoc financial queries.</li><li>Strategizes with PI on resource/personnel allocations, including initiating and processing required forms and documentation (Payroll Costing Changes).</li><li>Reviews and approves financial transactions, such as reimbursements for travel and corporate card payments, PCards, and Buy2Pay.</li><li>Assists PI with programmatic reporting requirements of the various funding organizations, including progress reports.</li><li>Facilitates the effort certification process and advises the PI on related policies.</li><li>Works with the ADRAF to implement local procedures, recommend process improvements, and resolve issues related to research funding.</li><li>Serves as liaison with internal departments. Collaborates with external research groups and their institutional representatives, and communicates with sponsor agencies, as needed.</li><li>Works in collaboration with SEAS Finance to administer capital equipment, including purchasing, tagging and equipment inventory.</li><li>Responsible for subrecipient monitoring on sub-awards/contracts.</li><li>Provides guidance to lab administrators on finance and sponsored research matters including systems, policies, and procedures.</li><li>Schedule adjustments and overtime may be required during peak periods.</li><li>Other duties as required.</li></ul>Working Conditions: Work is performed in an office environment. 
Physical Requirements: There are no significant physical requirements. Qualifications Basic Qualifications: Minimum of three years of research administration or related experience required (e.g. finance or accounting). 
Additional Qualifications and Skills: <ul><li>Bachelor’s degree preferred.</li><li>Experience in an academic or related setting (such as hospital or non-profit) preferred.</li><li>Financial management experience with both sponsored and non-sponsored funds preferred.</li><li>Working knowledge of OMB circulars, 2 CFR 200, FAR, and other federal sponsored research regulations.</li><li>Working knowledge of federal and non-federal sponsors’ policies and procedures (such as NSF, NASA, DARPA, or NIH), and current issues in sponsored research administration.</li><li>Strong skills in MS Excel, Adobe, MS Word, and ability to learn new software and systems (including web-based tools).</li><li>Excellent written and verbal communication skills.</li><li>Ability to prioritize duties and meet multiple deadlines.</li><li>Ability to work independently and as a team player with a diverse constituency.</li><li>Ability to handle confidential information with discretion.</li><li>Excellent customer service and problem solving skills.</li><li>Ability to embrace change.</li><li>Schedule adjustments and overtime may be required during peak periods.</li></ul> Additional Information <ul><li>Standard Hours/Schedule: 35 hours per week</li><li>Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position</li><li>Pre-Employment Screening: Identity</li><li>Other Information:&nbsp;Applicants should submit a cover letter and resume to be considered for this position.</li></ul>Work Format DetailsThis position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on <a href="https://harvie.harvard.edu/sites/g/files/omnuum12046/files/humanresources/files/employment_outside_ma_policy.pdf" target="_blank">Employment Outside of Massachusetts</a>. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and RangesThis position is salary grade level 056. Please visit &nbsp;<a href="https://hr.harvard.edu/salary-ranges" target="_blank">Harvard's Salary Ranges</a>  to view the corresponding salary range and related information.&nbsp;
BenefitsHarvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:&nbsp;<ul><li>Generous paid time off including parental leave&nbsp;</li><li>Medical, dental, and vision health insurance coverage starting on day one&nbsp;</li><li>Retirement plans with university contributions&nbsp;</li><li>Wellbeing and mental health resources&nbsp;</li><li>Support for families and caregivers&nbsp;</li><li>Professional development opportunities including tuition assistance and reimbursement&nbsp;</li><li>Commuter benefits, discounts and campus perks&nbsp;</li></ul>Learn more about these and additional benefits on our <a href="https://hr.harvard.edu/benefits-wellbeing" target="_blank">Benefits &amp; Wellbeing Page</a>.&nbsp;
EEO/Non-Discrimination Commitment StatementHarvard University is committed to <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal opportunity</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination</a>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.Harvard has an <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a>. Harvard's <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a> help all community members participate fully in work and campus life free from harassment and discrimination.

Research Portfolio Manager

Come join one of America’s fastest-growing insurance companies. Since 1848, National Life Group has aimed to keep our promises, providing families with stability in good times and in bad. Throughout that history, we have provided peace of mind to those families as they plan their futures.Our mission extends beyond the insurance and annuities policies that we offer. We strive to make the world a better place through our grants from our charitable foundation, paid volunteer time for our employees, environmentally sustainable and healthy workplaces, and events that promote the work of nonprofits in our own backyard.We foster a collaborative environment with opportunities for growth and encourage our associates to live our values: Do good. Be good. Make good.About UsNLG Capital, the investment management company of NLG, manages approximately $40+ billion in AUM. Our purpose is simple – to allow NLG to keep its promises. How we do this – an obsessive focus on delivering investment results. We drive results through a rigorous but collaborative investment process, and we hold ourselves to the highest of standards, both as investors and teammates. While our process is based on rigor, our culture is based on our guiding principles: Meritocracy, Uncompromising Transparency, Intellectual Honesty, Performance Driven Learning, Relentless Pursuit of Excellence. These principles serve as the foundation of our team. They govern the way we conduct ourselves, how we interact with teammates and how we approach every investment decision. We act with the integrity and humility required to make the investment decision that is right for the firm, and ultimately our policyholders. Our culture has been deliberately built to foster curiosity and provide opportunities to learn and grow, both as people and investors. The flat and collaborative nature of our team promotes an atmosphere where the best ideas are continually expressed and rewarded. Our pursuit of excellence is unwavering.Please note that we do not offer visa sponsorship for this position.Position Summary The Investment Analytics Intern will aid development of analytical systems and reporting to support the investment decision making process. in investments or a finance background. Responsibilities<ul><li>Create and improve analytical tools that support our investment process through improved understanding and visualizing complex data sets</li><li>Integrate insights into practical workflows utilizing Excel, Tableau / Microsoft BI, and email-based reporting</li><li>Learn investment strategy workflows and apply technical skills to improve and automate processes</li><li>Improve team efficiency through leveraging technology to solve our most challenging problems. </li><li>Improve ad-hoc analytics and assist in developing repeatable processes for research analysts and traders</li></ul>THE PERSONPivotal Experience &amp; Expertise<ul><li>Candidate for undergraduate or advanced degree in Finance, Economics, Financial Engineering, Data Science, Computer Science or a related field of study</li><li>Experience with either a workplace or academic setting in quantitative financial analysis and/or development roles</li><li>Experience using Excel, Microsoft BI, Tableau, and other data visualization tools, and the ability to demonstrate capabilities as part of the interview process</li><li>Skilled in SQL and Python; knowledge of additional programming languages considered helpful</li><li>Experience with code development best practices</li><li>Intense intellectual curiosity with the desire to seek new challenges while continuously learning</li><li>Solid interpersonal skills and ability to connect to form meaningful working partnerships</li><li>Inclusive team player with a collaborative and cooperative approach</li><li>Strong work ethic and proactive professional disposition</li><li>Experience driving projects to completion</li></ul>Cultural Fit<ul><li>Results-driven mindset</li><li>Thrives in a collaborative environment where the best ideas that drive the best results are rewarded</li><li>Has the integrity to communicate all relevant facts and information in evaluating decisions and the humility to admit what you do not know</li><li>Love of learning – comfortable in an organization that seeks to continually learn from its mistakes and successes to drive better investment decisions</li><li>Comfortable with ambiguity and the mentality required to address and ultimately own those ambiguous situations – finding answers and solutions</li><li>Proficient in giving and receiving constructive feedback in both real time and structured environments</li><li>Demonstrates transparent, direct, and open communication across the organization</li><li>Promotes collaboration and has a “firm first” attitude – does what is right for National Life Group</li><li>Commitment to our mission and values</li></ul>Base Pay Range. The base pay range for this position is the range National Life reasonably and in good faith expects to pay for the position taking into account the wide variety of factors, including: prior experience and job-related knowledge; education, training and certificates; current business needs; and market factors. The final salary or hourly wages offered may be outside of this range based on other reasons and individual circumstances.Additional Compensation and Benefits. The total compensation package for this position may also include a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. The successful candidate may also be eligible to participate in National Life’s discretionary annual incentive programs, subject to the rules governing such programs. If hired, the employee will be in an "at-will position" and National Life reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.National Life is accepting applications for this role on an ongoing basis and the role remains open until filled.Hourly Pay Range$19—$28 USDNational Life Group® is a trade name of National Life Insurance Company, Montpelier, VT – founded in 1848, Life Insurance Company of the Southwest, Addison, TX – chartered in 1955, and their affiliates. Each company of National Life Group is solely responsible for its own financial condition and contractual obligations. Life Insurance Company of the Southwest is not an authorized insurer in New York and does not conduct insurance business in New York. Equity Services, Inc., Member FINRA/SIPC, is a Broker/Dealer and Registered Investment Adviser affiliate of National Life Insurance Company. All other entities are independent of the companies of National Life Group.Fortune 1000 status is based on the consolidated financial results of all National Life Group companies.<a href="https://www.nationallife.com/Social-Media-Policy" target="_blank">Social Media Policy</a><a href="https://www.nationallife.com/Privacy-Legal-Information" target="_blank">Site Disclosure and Privacy Policy</a>National Life Group1 National Life DrMontpelier, VT 05604

National Life Group

Investment Analytics Intern

Join the Clean Energy RevolutionBecome&nbsp;a&nbsp;Principal Manager, Asset Analytics &amp; Modelingat Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll lead a team of engineers, data scientists, and analysts to solve some of the industry's most challenging problems, grow modeling and analytical capabilities using innovative methods, and help transform how SCE invests in its electric grid.&nbsp;As a&nbsp;Principal Manager, Asset Analytics &amp; Modeling, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?<h4>Responsibilities</h4><ul><li>Articulates thought leadership, imparts strategic thinking and technical expertise to solve business problems leveraging optimization, storytelling, advanced analytics, Statistical Analysis, and machine learning</li><li>Oversees key initiatives for SCE and ensuring data science and predictive analytics alignment with business strategies and outcomes</li><li>Directs the development and implementation of advanced analytics and machine learning, including product roadmap, prioritization, methodologies, development of models and machine learning operations (MLOps)</li><li>Shapes priorities and allocates resources as well as communicate business performance and project progress to management and business partners</li><li>Oversees the analyses and identification of problems based on data, trends and analysis of inconsistencies, and anomalies to identify out-of-compliance issues</li><li>Designs tailored energy-efficiency services based on data analytics</li><li>Steers a wide portfolio of data science and predictive analytic projects empowering the group's functions through advanced insights and strategy development</li><li>Governs development of predictive modelling of key assets to inform risk analysis and mitigation strategies in support of business initiatives and for regulatory filings</li><li>Develops long-term electric load forecasts at the system and feeder level using econometric regression, time series, and machine learning models</li><li>Ensures data architecture models are current, fit for purpose and reflective of the market, collaborates with the use-case leads to ensure previously developed data models are reused or adapted</li><li>A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.</li></ul><h4>Minimum Qualifications</h4><ul><li>Seven or more years of experience supervising a team of direct reports and/or project management.</li><li>Experience leading a technical/analytical organization.</li></ul>Preferred Qualifications<ul><li>Masters degree in Engineering, Data/Computer Science, Business, etc.</li><li>Experience with technology platforms such as Google Cloud Platform, Snowflake, Palantir, SAS, SQL</li><li>Experience performing root cause analysis and failure investigations on assets within the electric system&nbsp;</li><li>Experience building machine learning or physics-based models to predict asset conditions and failures over time</li><li>Experience working with regulatory processes, including developing analyses, workpapers, testimony, data request responses, and reporting for proceedings before regulatory agencies</li><li>Experience evaluating and deploying artificial intelligence solutions into business processes</li><li>Experience with various risk management tools and frameworks: (e.g.: CPUC's Risk-Based Decision-Making Framework, Failure Mode Effects and Analysis (FMEA), Probabilistic Risk Assessment (PRA), Wildfire Mitigation Plans, and development of mitigation effectiveness and benefit-cost ratio calculations to drive investment decision-making.</li></ul>Additional Information <ul><li>This position’s work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.</li><li>Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!</li><li>Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.&nbsp;</li><li>Relocation may apply to this position.</li></ul>About Southern California EdisonThe people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.

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