field_remote_option

field_job_employment_type

job_industry

field_job_occupational_field_parents_all

job_organization_name

Salary Range:&nbsp;&nbsp;$171,925.00&nbsp;(Min.) -&nbsp;$232,100.00&nbsp;(Mid.) -&nbsp;$292,274.00&nbsp;(Max.)Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. <h4>Job Summary</h4>The Director of Artificial Intelligence (AI) and Impact Science is a senior leader, responsible for overseeing and advancing Applied AI and Casual Impact work. This position ensures that the team’s predictive, AI-driven, and causal analytics work is high-quality, reproducible, and aligned with the organization’s enterprise strategy and operational priorities.This Director bridges advanced technical expertise, strategic foresight, and cross-functional collaboration. &nbsp;Provides leadership and mentorship to staff, ensuring compliance with analytic development standards, governance policies, and reproducibility requirements. Additionally, this position maintains close alignment with Enterprise Analytics leadership, including Directors and Managers of domain-aligned analyst teams, to integrate the team’s outputs into broader portfolio initiatives and operational workflows.The Director scans the AI and emerging technology landscape to evaluate new solutions to guide build vs. buy decisions and ensure the organization continuously leverages innovative tools that provide incremental enterprise value. This position is responsible for directing all aspects of running an efficient team, including hiring, supervising, coaching, training, disciplining, and motivating direct reports.<h4>Duties</h4><h4>Lead, mentor, and develop assigned team(s), fostering technical excellence, analytic rigor, and professional growth.</h4><h4>Ensure all analytic solutions follow standardized development practices, including version control, peer review, reproducible pipelines, and documentation protocols.</h4><h4>Serve as the primary liaison to other Enterprise Analytics leaders, integrating AI and causal science deliverables into domain-specific portfolios to maximize enterprise impact.</h4><h4>Guide cross-functional teams in translating AI and causal insights into actionable business recommendations, operational improvements, and strategic decision-making.</h4><h4>Oversee the design, implementation, and validation of predictive models, AI solutions, and causal impact studies, ensuring methodological rigor, scalability, and interpretability.</h4><h4>Establish and maintain technical standards, workflows, and governance policies for AI and causal impact analytics.</h4><h4>Continuously scan the AI, machine learning, and emerging technology landscape to identify tools, platforms, and frameworks that could enhance analytic capabilities, inform build vs. buy decisions, and deliver incremental value.</h4><h4>Assess new technologies and provide recommendations on integration strategies, feasibility, and potential Return on Investment (ROI) for adoption in enterprise workflows.</h4><h4>Promote the use of responsible AI principles, ensuring fairness, transparency, and explainability in all deployed solutions.</h4><h4>Duties Continued</h4><h4>Maintain oversight of resource allocation, project prioritization, and delivery timelines across the team.</h4><h4>Collaborate with key stakeholders to integrate predictive and causal insights, providing holistic, enterprise-level solutions.</h4><h4>Represent the AI &amp; Impact Science team to senior leadership and external stakeholders, communicating strategic value, project outcomes, and future opportunities.</h4><h4>Foster a culture of continuous learning, experimentation, and innovation within the team.</h4><h4>Proactively initiate, build and maintain effective relationships and communication with both internal and external key stakeholders.&nbsp; Communicate with senior leadership and executives, provide reports on performance and progress towards objectives. </h4><h4>Develop goals, objectives and action plans for assigned staff which includes full management responsibility for the hiring, performance reviews, salary reviews, training, and disciplinary matters for direct reports.</h4><h4>Conduct strategic planning for resource management in order to meet current and future departmental and enterprise-wide goals. </h4><h4>Develops, and manages department budget, monitors expenditures and ensures financial sustainability. </h4>Perform other duties as assigned.<h4>Education Required</h4>Master's DegreeIn lieu of degree, equivalent education and/or experience may be considered.<h4>Education Preferred</h4>Doctorate Degree<h4>Experience</h4>Required:At least 7 years of progressive experience in advanced analytics, data science, or AI/ML.At least 7 years of experience supervising/managing staff.At least 3 years of professional experience working in a healthcare setting (e.g., Managed Care Organization, health system, hospital network, or health plan).Demonstrated successful experience leading teams of technical practitioners (data scientists, analysts, or equivalent) in healthcare or complex enterprise environments.Hands-on experience with AI/ML model development, causal inference, and enterprise-scale analytics projects.Experience managing multiple projects and prioritizing resources in a dynamic environment.Experience evaluating emerging AI and analytics technologies and guiding build vs. buy decisions.Prior experience setting standards for reproducibility, governance, and responsible AI practices.Preferred: Experience in a Managed Care Organization (Medicaid, Medicare, ACA Exchange).Experience with health equity analytics and population segmentation for targeted interventions.<h4>Skills</h4>Required:Demonstrated ability to think long-term and develop strategies that align with the overall goals of the organization. Demonstrated ability to make sound and timely decisions.Demonstrated ability to adapt to changing situations and adjust strategies accordingly.Demonstrated ability to adapt to a fast-paced and evolving environment and to lead others through change.Excellent interpersonal skills for building relationships, fostering teamwork, and creating a positive work environment. Excellent written and verbal communication, negotiation, and interpersonal skills.Excellent ability and knowledge in analyzing data, identifying problems, and making informed decisions, often in complex or ambiguous situations. Demonstrated ability to lead and mentorship of technical teams in AI, data science, or analytics.Ability to operationalize analytics and AI outputs into business workflows and enterprise decision-making.Advanced understanding of predictive modeling, AI/ML methods, causal inference, and analytic pipeline design.Strong project management and prioritization skills, including using Jira or equivalent workflow tools.Expertise with collaboration and documentation tools such as GitHub and Confluence.Exceptional communication and stakeholder engagement skills for technical and non-technical audiences.Proven ability to collaborate across multiple business domains, integrating analytics into strategic decision-making and operational workflows.Strong communication skills with the ability to translate complex technical topics for senior leadership and non-technical stakeholders.<h4>Licenses/Certifications Required</h4><h4>Licenses/Certifications Preferred</h4>Certified Health Data Analyst (CHDA)Certified Analytics Professional (CAP)Snowflake SnowPro Core CertificationSnowPro Specialty: Data Engineering or SnowparkHealth Economics and Outcomes Research (HEOR) Certification or Graduate CertificateAdvanced AI/ML or Data Science certifications (e.g., Microsoft DP-100, MITx MicroMasters in AI, or similar)<h4>Required Training</h4><h4>Physical Requirements</h4>Light<h4>Additional Information</h4>Additional Skills:Preferred: Expertise in responsible AI principles, including fairness, transparency, and explainability.Ability to evaluate emerging AI technologies and integrate them strategically into enterprise analytics capabilities.Knowledge of Shiny, Streamlit, or other visualization and analytic tool deployment platforms.Knowledge of healthcare administrative datasets (claims, encounters, eligibility, provider networks, quality measures).Knowledge of Snowflake/Snowpark, cloud-based analytics, and large-scale distributed computing environmentsSalary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market.&nbsp; The range is subject to change.L.A. Care offers&nbsp;a wide range of benefits including<ul><li>Paid Time Off (PTO)</li><li>Tuition Reimbursement</li><li>Retirement Plans</li><li>Medical, Dental and Vision</li><li>Wellness Program</li><li>Volunteer Time Off (VTO)</li></ul> Nearest Major Market: Los Angeles Job Segment: Medicaid, Medicare, Defense, Claims, Equity, Healthcare, Government, Insurance, Finance

L.A. Care Health Plan

Director, Artificial Intelligence and Impact Science

Salary Range:&nbsp;&nbsp;$135,136.00&nbsp;(Min.) -&nbsp;$175,676.00&nbsp;(Mid.) -&nbsp;$216,218.00&nbsp;(Max.)Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. <h4>Job Summary</h4>The Causal Impact Scientist III is a senior, hands-on practitioner responsible for developing and implementing scalable approaches to measure program impact across the organization. This position not only evaluates the historical effectiveness of interventions but also informs future program design, equity strategies, sub-population targeting, and policy decisions.The Causal Impact Scientist III leads the creation of modular, reusable analytic pipelines and causal inference frameworks that can be applied across multiple programs and initiatives. This position sets methodological standards, ensures analytic reproducibility, and mentors staff in best practices for causal analysis, study design, and evidence communication.The Causal Impact Scientist III collaborates with cross-functional teams integrating predictive and causal insights to drive enterprise-wide decisions. Acts as a Subject Matter Expert (SME), serves as a resource and mentor for other staff.&nbsp;&nbsp; <h4>Duties</h4><h4>Lead the design, implementation, and interpretation of advanced causal inference studies across multiple health plan programs using techniques such as difference-in-differences, propensity score methods, inverse probability weighting, synthetic controls, interrupted time series, and Randomized Control Trials (RCTs).</h4><h4>Develop scalable, modular frameworks for impact evaluation that can be ported across programs and interventions, ensuring reproducibility, transparency, and efficient deployment.</h4><h4>Identify which interventions deliver the greatest value, equity, and member outcomes, guiding sub-population targeting, program improvement, and policy recommendations.</h4><h4>Mentor and provide technical guidance to staff on methodology, coding, documentation, and analytic rigor.</h4><h4>Build and maintain robust, reproducible analytical pipelines in Python (PySpark, pandas) and R; leverage Snowflake/Snowpark, Spark, and cloud-based computing resources to scale analyses.</h4><h4>Lead GitHub version control, peer review, and code standardization practices to ensure high-quality, reusable analytic assets.</h4><h4>Manage project deliverables and team workflows in Jira; document methods, assumptions, and results clearly in Confluence.</h4><h4>Translate complex analytic findings into actionable insights, guiding executive decision-making and influencing strategic initiatives.</h4><h4>Collaborate with cross-functional teams to integrate causal and predictive insights for comprehensive program evaluation.</h4><h4>Stay current on emerging methods in causal inference, impact evaluation, and population health analytics, incorporating new approaches into the team’s analytic toolkit.</h4><h4>Apply subject matter expertise in evaluating business operations and processes. Identify areas where technical solutions would improve business performance. Consult across business operations, provide mentorship, and contribute specialized knowledge. Ensure that the facts and details are correct so that the program's deliverable meets the needs of the department, organization and legislation's policies, standards, and best practices. Provide training and recommend process improvements as needed.</h4><h4>Perform other duties as assigned</h4><h4>Duties Continued</h4><h4>Education Required</h4>Master's DegreeIn lieu of degree, equivalent education and/or experience may be considered.<h4>Education Preferred</h4>Doctorate Degree<h4>Experience</h4>Required:At least 6 years of professional experience conducting causal inference or program evaluation analyses in healthcare, public health, or a related field.Proven experience applying advanced causal inference methods (e.g., difference-in-differences, matching, synthetic controls, RCTs) to observational and experimental healthcare data.Hands-on experience developing and deploying scalable analytic pipelines in Python and/or R.Experience collaborating with cross-functional teams, translating analytic findings into actionable recommendations.Experience working with large-scale datasets in Spark or distributed computing environments.Preferred: Extensive experience in Managed Care Plans (Medicaid, Medicare, ACA Exchange), including understanding claims, encounters, eligibility, provider networks, and quality metrics.Experience designing and implementing (RCTs) or complex quasi-experimental studies in healthcare operational settings.Experience applying causal inference methods to program targeting, equity assessment, and policy evaluation.Experience building reusable analytic tools and frameworks that can be applied across multiple use cases.<h4>Skills</h4>Required: Expertise in causal inference methods: difference-in-differences, propensity score matching, synthetic controls, interrupted time series, RCT design, and related techniques.Advanced programming skills in Python (pandas, PySpark, statsmodels) and R (dplyr, ggplot2, MatchIt, did, or similar).Ability to design reproducible, modular, and scalable analytic pipelines.Proficiency with GitHub, Confluence, and Jira for code collaboration, documentation, and project management.Strong written and verbal communication skills; ability to translate complex analyses into actionable insights for stakeholders.Strong collaboration skills and experience mentoring junior team members.Ability to manage multiple projects and priorities in a fast-paced environment.Ability to apply critical thinking skills in causal reasoning to address complex healthcare data problems. Demonstrated ability to mentor and guide staff on methodology, coding, and documentation.Strong communication skills, including documenting methodology, assumptions, and results for both technical and non-technical stakeholders.Preferred:Working knowledge of modern cloud-based analytic ecosystems (Snowflake, Azure).Knowledge of visualization and reporting frameworks to communicate impact results to leadership.Knowledge of Snowflake/Snowpark, cloud computing, and distributed data platforms.Strong presentation skills, with experience briefing senior leadership on analytic findings and strategic implications.Knowledge of health equity analytics and population segmentation for targeting interventions.<h4>Licenses/Certifications Required</h4><h4>Licenses/Certifications Preferred</h4>Certified Health Data Analyst (CHDA)Certified Analytics Professional (CAP)Snowflake SnowPro Core CertificationSnowPro Specialty: Data Engineering or SnowparkHealth Economics and Outcomes Research (HEOR) Certification or Graduate CertificateCausal Inference for Data Science (e.g., University of Pennsylvania or MITx MicroMasters)<h4>Required Training</h4><h4>Physical Requirements</h4>Light<h4>Additional Information</h4>Salary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market.&nbsp; The range is subject to change.L.A. Care offers&nbsp;a wide range of benefits including<ul><li>Paid Time Off (PTO)</li><li>Tuition Reimbursement</li><li>Retirement Plans</li><li>Medical, Dental and Vision</li><li>Wellness Program</li><li>Volunteer Time Off (VTO)</li></ul> Nearest Major Market: Los Angeles Job Segment: Medicaid, Medicare, Equity, Claims, Public Health, Healthcare, Finance, Insurance

Causal Impact Scientist III

Salary Range:&nbsp;&nbsp;$135,136.00&nbsp;(Min.) -&nbsp;$175,676.00&nbsp;(Mid.) -&nbsp;$216,218.00&nbsp;(Max.)Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. <h4>Job Summary</h4>The Applied Artificial Intelligence (AI) Scientist III is a subject matter expert, hands-on practitioner who designs, builds, and implements advanced artificial intelligence (AI) and machine learning (ML) solutions that directly enable the organization to execute its strategic priorities. This role combines deep technical expertise with healthcare domain knowledge to deliver scalable, production-grade AI applications that improve quality, reduce administrative waste, and enhance member outcomes.The Applied AI Scientist III independently leads complex projects from ideation through operational deployment, working across data, technology, and business teams to develop models and algorithms that power key functions such as claims accuracy, care coordination, quality improvement, and fraud detection. This position is highly collaborative, frequently partnering with leaders across departments to understand business needs and translate them into AI-driven capabilities that deliver measurable value.&nbsp;The Applied AI Scientist III serves as a mentor and role model for staff promoting best practices in model design, documentation, version control, and interpretability. The position is central to advancing the organization’s AI maturity—driving both innovation and execution within an applied, results-oriented framework. Acts as a Subject Matter Expert (SME), serves as a resource and mentor for other staff.&nbsp;&nbsp; <h4>Duties</h4>Design, train, validate, and deploy complex AI and ML models to address enterprise use cases across departments such as Health Services, Payment Integrity, Quality Improvement, Finance, and Provider Network Management.Lead all phases of the AI solution lifecycle – from problem framing and data engineering through model design, validation, and operational integration.Implement production-grade ML pipelines using modern MLOps practices, ensuring scalability, reproducibility, and continuous model performance monitoring.Serve as a subject matter expert in responsible and explainable AI, ensuring model fairness, transparency, and compliance with regulatory and ethical standards.Partner with business and technology leaders to identify and prioritize new AI use cases that align with the organization’s transformation strategy.Translate business challenges into well-structured analytical problems and lead cross-functional teams through data discovery, feature engineering, and algorithm development.Work directly with cloud-based data and AI platforms (e.g., Snowflake, Azure ML, Databricks) to operationalize model delivery and integration with enterprise data assets.Mentor and coach staff, providing technical guidance, code reviews, and knowledge sharing.Document all model design assumptions, data sources, evaluation metrics, and deployment protocols for transparency and reproducibility.Communicate complex technical results in accessible, actionable ways for both executive and operational stakeholders.Contribute to the development of reusable AI assets, libraries, and standardized templates to accelerate future model development.<h4>Remain current on emerging AI/ML technologies, frameworks, and healthcare analytics applications, and advise leadership on adoption opportunities.</h4><h4>Apply subject matter expertise in evaluating business operations and processes. Identify areas where technical solutions would improve business performance. Consult across business operations, provide mentorship, and contribute specialized knowledge. Ensure that the facts and details are correct so that the program's deliverable meets the needs of the department, organization and legislation's policies, standards, and best practices. Provide training, recommend process improvements, and mentor staff, department interns, etc. as needed.</h4><h4>Perform other duties as assigned.</h4><h4>Duties Continued</h4><h4>Education Required</h4>Master's DegreeIn lieu of degree, equivalent education and/or experience may be considered.<h4>Education Preferred</h4>Doctorate Degree<h4>Experience</h4>Required:At least 6 years of professional experience developing and deploying machine learning and AI solutions in enterprise or healthcare environments.Demonstrated experience leading full AI solution lifecycles – from problem definition to deployment and monitoring.Proven successful experience developing predictive models using structured and unstructured healthcare data (e.g., claims, encounters, eligibility, provider, quality metrics).Experience with Python (Pandas, Scikit-learn, PySpark), distributed data frameworks (Spark), and MLOps concepts.Strong collaboration and mentorship experience, including guiding junior data scientists and analysts.Experience integrating AI solutions into production environments in collaboration with IT or Data Engineering.Experience with version control (Git) and model documentation best practices.Experience building and deploying models in production using MLOps frameworks and cloud platforms.Preferred:Experience within a Managed Care Organization (MCO) or health plan environment (Medi-Cal, Medicare, or ACA Exchange).Experience developing and operationalizing Large Language Models (LLM)-based solutions, including prompt engineering or retrieval-augmented generation (RAG).Experience in risk adjustment, payment integrity, or quality measurement modeling.Experience with healthcare data analytics and modeling in Managed Care settings.<h4>Skills</h4>Required:Advanced programming skills in Python, including libraries for data processing, modeling, and analytics (e.g., Pandas, Scikit-learn, PySpark).Deep understanding of machine learning and AI techniques, including supervised and unsupervised learning, feature engineering, model optimization, and explainability.Strong analytical problem-solving skills with the ability to structure complex problems into actionable modeling tasks.Exceptional written and verbal communication skills, including documentation and presentation of technical material to non-technical audiences.Excellent collaboration skills and ability to lead cross-functional projects involving IT, business stakeholders, and analytics peers.Excellent communication, documentation, and stakeholder engagement skills.Preferred:Knowledge of generative AI tools and frameworks (e.g., LangChain, OpenAI APIs, Azure OpenAI).Knowledge and understanding of responsible AI principles, including bias detection, fairness, and explainability.Knowledge of R or SQL for complementary analytics tasks.Knowledge of Snowpark for scalable model deployment.Knowledge of Shiny or Streamlit for AI-driven application delivery.<h4>Licenses/Certifications Required</h4><h4>Licenses/Certifications Preferred</h4>Snowflake SnowPro Core CertificationSnowPro® Specialty: Snowpark CertificationPython Institute PCEP™ or PCAP™ (Python Programming)HarvardX or Johns Hopkins Data Science Certificate (R)Microsoft Certified: Data Scientist Associate (DP-100)Certified Analytics Professional (CAP)Certified Health Data Analyst (CHDA)Microsoft Certified Professional (MCP)<h4>Required Training</h4><h4>Physical Requirements</h4>Light<h4>Additional Information</h4>Salary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market.&nbsp; The range is subject to change.L.A. Care offers&nbsp;a wide range of benefits including<ul><li>Paid Time Off (PTO)</li><li>Tuition Reimbursement</li><li>Retirement Plans</li><li>Medical, Dental and Vision</li><li>Wellness Program</li><li>Volunteer Time Off (VTO)</li></ul> Nearest Major Market: Los Angeles Job Segment: Claims, Medicare, Defense, Insurance, Healthcare, Government

Applied Artificial Intelligence Scientist III

Take your career further with McLane! McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America's most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide. Build predictive models based on business data, including data preparation, feature engineering, model selection, and model evaluation techniques and measures. Coordinate with data engineering team to scale and deploy models and their related data pipelines into production within our Azure/Databricks environment. This is a hybrid position which will require the candidate to report and work from the office three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX. Benefits you can count on: <ul><li>Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance</li><li>Paid time off begins day one.</li><li>401(k) Profit Sharing Plan after 90 days.</li><li>Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!</li></ul> What you'll do as a Data Scientist: <ul><li>Perform data mining, exploration, and analysis.</li><li>Design, train, evaluate and implement machine learning algorithms and predictive models.</li><li>Work with stakeholders to identify opportunities for improving business processes and addressing current pain points, using data insights, forecasts, and analytics.</li><li>Develop and implement analytics-enabled solutions to improve business process, generate insights, and support business goals.</li><li>Develop Key Performance Indicators (KPIs), metrics, trend tracking, prediction, and forecasting models.</li><li>Evaluate and understand complex issues from business partners and recommend solutions.</li><li>Generate visualizations using tools like Tableau to provide business insights.</li><li>Work closely with team throughout all phases of projects: requirements definition, design, development, test and evaluation, demonstration, and deployment.</li><li>Perform other duties as assigned.</li></ul> Qualifications you'll bring as a Data Scientist: <ul><li>Bachelor's degree in data science, data analytics, or related field; or comparable job experience.</li><li>Two years' experience in predictive modeling and machine learning.</li><li>Proficiency in Python and SQL.</li><li>Knowledge of data science toolkits such as NumPy, Pandas and MatLab.</li><li>Experience with Azure and Databricks platforms.</li><li>Ability to work closely with team throughout all phases of projects: requirements definition, design, development, test and evaluation, demonstration, and deployment.</li><li>Availability to work majority of shift during United States hours (overlapping with 8am-5pm central time zone).</li><li>This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.</li></ul> Fit the following? We want you here! <ul><li>Teamwork oriented</li><li>Organized</li><li>Problem solver</li><li>Detailed</li></ul> Our roadmap. Our story. We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture. Candidates may be subject to a background check and drug screen, in accordance with applicable laws. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. For our complete EEO and Pay Transparency statement, please visit <a href="https://www.mclaneco.com/legal/employment/" target="_blank">https://www.mclaneco.com/legal/employment/</a>

McLane

Data Scientist - IT&D

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.The Stability Senior Scientist reports to the Associate Director of Global Biologics Stability and is responsible for end-to-end oversight of commercial drug substance and drug product stability programs. Activities include (but not limited to) those associated with developing product stability strategy; stability data analysis/trending; and preparation, review and approval of stability protocols, reports and regulatory filings. The Stability Senior Scienstit is accountable for end-to-end program management for biologics marketed product stability program, including:<ul><li>Stability product strategy: determines/communicates stability requirements (e.g. Health Authority annual commitments, product/process change qualification batches, etc.) and assists with identifying production batches that meet these defined requirements for inclusion in the stability program.</li><li>Perform change control impact assessments and document the assessments in change controls.&nbsp; Review and endorse change controls as required.</li><li>Author change controls for changes to stability program/operations.</li><li>Review/approve creation/modifications to Master Stability Protocols (MSP) and Study-Specific Protocols (SSP), batch-specific enrollment documentation, and LIMS stability studies.</li><li>Perform stability data analysis/trending in support of data out-of-trend (OOT) analyses, regulatory submissions, Annual Product Quality Reviews (APQR), internal reports, etc.</li><li>Authors stability sections of regulatory submissions (CTD dossiers for post-approval filings, annual reports, product renewals, health authority queries), APQR, and internal reports.</li><li>Serve as stability subject-matter expert (SME) on project teams related to pre-market and post-approval changes.</li><li>Develop and maintain expertise on the overall stability performance of biologic products, including maintaining a working knowledge of the attributes that impact product performance/stability profile.</li><li>Serves as GBS representative for OOT/OOS investigations and other stability-related investigations/deviations. Complete stability impact assessments as needed.</li><li>Expected to work with limited oversight from direct manager; but expected to identify and promptly escalate to management any critical issues related to stability program (e.g. potential impact to regulatory commitments, lab capacity, stability storage capacity).</li><li>Expected to critically evaluate situations and make decisions that require choosing between multiple options, or develop new options, to resolve moderately complex problems.</li><li>Acts as an advisor/mentor to stability staff.</li><li>Good organization skills and keen attention to detail.</li><li>#LI-ONSITE</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:Devens - MA - US: $115,790 - $140,307&amp;#xa;New Brunswick - NJ - US: $108,210 - $131,129&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 in effect at the time and may require enrollment. Our benefits include:<ul><li>Health Coverage: Medical, pharmacy, dental, and vision care.</li><li>Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).</li><li>Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.</li></ul>​Work-life benefits include:Paid Time Off<ul><li>US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)</li><li>Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays</li></ul>Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the 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.If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at <a href="mailto:TAEnablement@bms.com" target="_blank">TAEnablement@bms.com</a>. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.R1597220 : Senior Scientist Stability

Bristol Myers Squibb

Senior Scientist Stability

Job Title Scientist IV Requisition Number RE52827 Working Title Crystallography Director Department Name 8E030:Chemistry Work Location Lexington, KY Grade Level 50 Salary Range $81,640-138,798/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: <a href="https://hr.uky.edu/employment/working-uk/equivalencies" target="_blank">https://hr.uky.edu/employment/working-uk/equivalencies</a> Required Related Experience 6 yrs Required License/Registration/Certification None. Physical Requirements Lifting objects less than 5 pounds, sitting for long periods of time, walking across campus. Shift Monday – Friday; 8:00 am – 5:00 pm. Job Summary The Department of Chemistry at the University of Kentucky is seeking an experienced individual to fill our Scientist IV position as a Director of the X-ray Crystallography Laboratory. This position is responsible for the daily operation of the small molecule X-ray facility. The x-ray crystallography director will coordinate instrument time and allocation and be responsible for maintenance of instrumentation, and for service contract work. The successful candidate will also develop and implement policies for efficient and safe facility operation and develop strategic plans for the laboratory. Other duties include preparation of reports, budget requests and grant proposals to upgrade/modernize facility instrumentation, and to implement/maintain web-based structural results database. Salary is commensurate with credentials and experience. This position requires a Ph.D. and specialist-level knowledge of X-ray generators, X-ray optics, goniometers and detectors, optical microscopes, and cryogenic equipment. Skills / Knowledge / Abilities Experience with the operation and maintenance of X-ray generators, X-ray optics, goniometers and detectors, optical microscopes, and cryogenic equipment. Computer hardware and software knowledge. Does this position have supervisory responsibilities? No Preferred Education/Experience Deadline to Apply 01/20/2026 Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is a Tobacco &amp; Drug Free campus. The University follows both the federal and state Constitutions as well as all applicable federal and state laws on nondiscrimination. The University provides equal opportunities for qualified persons in all aspects of institutional operations and does not discriminate on the basis of race, color, national origin, ethnic origin, religion, creed, age, physical or mental disability, veteran status, uniformed service, political belief, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, genetic information or social or economic status. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

Scientist IV

Job Title Scientist III Requisition Number RE52823 Working Title Department Name 81140:Veterinary Science Work Location Lexington, KY Grade Level 48 Salary Range $62,941-103,834/year Type of Position Staff Position Time Status Part-Time Required Education PhD Click here for more information about equivalencies: <a href="https://hr.uky.edu/employment/working-uk/equivalencies" target="_blank">https://hr.uky.edu/employment/working-uk/equivalencies</a> Required Related Experience 3 yrs Required License/Registration/Certification None Physical Requirements Standing and/or sitting for long periods of time and performing repetitive motion tasks; exposure to loud noises, hazardous chemicals and fumes including waste; and risk of back injury from moving, lifting or positioning patients, equipment, or materials. Shift Normally days Monday-Friday, 8:00am-5:00pm, occasional nights and weekends. Job Summary The Martin-Gatton College of Agriculture, Food and Environment’s department of Veterinary Science seeks a highly motivated individual to fill the position of Scientist III. The Scientist III is a key member of the team supporting the department’s mission to assure the health and viability of animal agriculture through teaching, discovery, research, and service and in particular supporting the team of investigators focused on Musculoskeletal Research. This position plays a vital role in planning, coordinating, and conducting scientific research. This person will also manage the day-to-day operations of the lab, coordinate the lab management and maintenance tasks, and participate in grant writing. As a key member of Veterinary Science, this role offers the opportunity to contribute directly to agricultural innovation while working in a collaborative and supportive environment. Why Join Us? The Martin-Gatton College of Agriculture, Food and Environment fosters a collaborative and supportive work environment. Benefits of working with us include: <ul><li>A formal mentoring program</li><li>Access to a staff development fund</li><li>A dedicated Staff Recognition Program</li><li>A shared commitment to making the University of Kentucky the University of, for, and with Kentucky</li></ul> For additional information on Veterinary Science, please click here. To find out more about M-G CAFE and how the college supports the mission of this being the University of, for, and with Kentucky, Click Here. Skills / Knowledge / Abilities Does this position have supervisory responsibilities? Yes Preferred Education/Experience At least one year of experience conducting equine research. Deadline to Apply 01/20/2026 Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is a Tobacco &amp; Drug Free campus. The University follows both the federal and state Constitutions as well as all applicable federal and state laws on nondiscrimination. The University provides equal opportunities for qualified persons in all aspects of institutional operations and does not discriminate on the basis of race, color, national origin, ethnic origin, religion, creed, age, physical or mental disability, veteran status, uniformed service, political belief, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, genetic information or social or economic status. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

Scientist III

<h4>Overview</h4>We are seeking a highly skilled and experienced Lead Quantitative Social Scientist to oversee and conduct two comprehensive, independent assessments for the Department of Veterans Affairs (VA). The successful candidate will lead data and methodology analysis for mental health care and suicide prevention programs, as mandated by the Clay Hunt Act and Hannon Act. The role will primarily focus on analyzing program effectiveness, cost-effectiveness, and veteran satisfaction to ensure compliance with Congressional requirements and delivering impactful insights for VA to use in its mission to prevent veteran suicides through a comprehensive public health approach.LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.<h4>Responsibilities</h4>Key Responsibilities:Lead Data Analysis:<ul><li>Utilize data provided by VA’s Office of Mental Health (OMH) and Office of Suicide Prevention (OSP) to answer program evaluation and assessment questions, including but not limited to:<ul><li>Veterans Outcome Assessment (VOA):Annual assessments on symptoms, functioning, well-being, and experience of care from veterans starting a new mental health outpatient program, reassessed after three months.</li><li>Satisfaction Surveys:Data from veterans on their satisfaction with VA and non-VA mental health care and experiences of care.</li><li>Clinical Templates:Data from national templates such as evidence-based psychotherapies, records of suicide and overdose events, intensity levels for community-based care, and services provided during treatment.</li><li>Performance Measures:Facility-level data from Strategic Analytics for Improvement and Learning measures and other measures within the Mental Health Information System, a collection of over 100 measures characterizing mental health treatment in the VA.</li><li>NEPEC Data:Data collected by the Northeastern Program Evaluation Center or other VA program evaluation centers for program monitoring and evaluation purposes.</li></ul></li><li>Examine and analyze data across differences in target conditions, care intensity, medical and mental health comorbidities, demographics, and sex differences.</li><li>Identify and address gaps in data quality and integrity, cleanse and manipulate data as necessary to ensure valid, reliable analysis.</li><li>Review and validate analytical data sets to ensure they meet statistical validity and quality standards.</li><li>Communicate any identified data inaccuracies or deficiencies to the VA and assist in determining additional data collection needs to address gaps.</li></ul>Program Evaluation:<ul><li>Independently evaluate mental health care and suicide prevention programs to measure effectiveness in achieving outcomes.</li><li>Perform comparative analyses using internal (intra-Veteran) and external (inter-Veteran) data.</li><li>Conduct sub-group analyses to determine relative effectiveness for specific veteran cohorts and identify service gaps.</li></ul><ul><li>Develop predictive models to forecast program outcomes and identify key factors influencing success.</li></ul>Methodology Development:<ul><li>Develop evaluation plans incorporating human-centered design principles to understand user needs.</li><li>Employ the CDC’s Program Evaluation Framework and propose innovative statistical methods as necessary.</li><li>Reassess business rules, cost estimates, and outcome measures for program evaluations.</li></ul>Reporting:<ul><li>Prepare annual evaluation reports, Congressionally Mandated Reports (CMR), and other supporting materials for the Clay Hunt Act and Staff Sergent Parker Gordon Fox Suicide Prevention Grants Program (SSG Fox SPGP).</li><li>Propose best practices for mental health care and suicide prevention and document key barriers and facilitators to implementation.</li><li>Ensure timely submission of deliverables with accurate and comprehensive analysis.</li></ul><ul><li>Create advanced visualizations and dashboards using tools like Tableau, Power BI, or custom scripts to communicate complex data effectively.</li></ul>Stakeholder Engagement:<ul><li>Coordinate with VA program leads, stakeholders, and external partners for data acquisition, methodology vetting, and program insights.</li><li>Conduct interviews and transition meetings as part of the discovery phase.</li></ul>Data Analyst Oversight:<ul><li>Supervise and provide direction to 1-2 Data Analysts, ensuring that analysis activities align with project requirements and objectives.</li><li>Guide Data Analysts on appropriate methodologies to use for various analyses.</li><li>Review and validate the work of Data Analysts to ensure accuracy and integrity.</li><li>Provide mentorship and technical guidance to Data Analysts, fostering their professional growth and ensuring high-quality deliverables.</li></ul><h4>Qualifications</h4>Minimum Qualifications:<ul><li>Master’s degree in Political Science, Quantitative Methods, Public Policy, Psychology, or a related field.<ul><li>At least 5 years of experience in applied data science, program evaluation, and analytics.</li><li>Proven track record in leading data science projects, especially in the federal space.</li><li>Extensive experience with statistical analysis, hypothesis testing, experiential design, data management, and evaluating large-scale programs.</li><li>Expertise in Python, R, SQL, and statistical analysis software (e.g., SAS, SPSS).</li><li>Proficiency in deep learning, Bayesian models, and data visualization tools such as Tableau, Power BI, or similar for creating reports and dashboards.</li><li>Strong background in quantitative deep learning frameworks such as TensorFlow and PyTorch.</li><li>Experience in data cleansing and manipulation to ensure data usability and integrity.</li><li>Exceptional problem-solving skills with a focus on client needs and federal compliance.</li><li>Excellent communication and presentation abilities to effectively convey complex data insights to various audiences.</li><li>Ability to manage multiple priorities and meet deadlines in a fast-paced environment.</li><li>Ability to identify data quality issues, communicate gaps, and recommend additional data collection requirements.</li><li>Strong interpersonal skills to collaborate with various stakeholders and team members. </li><li>Demonstrated ability to generate actionable insights through in-depth analysis and translate findings into clear, concise, and impactful reports.</li><li>Ability to pass a government background investigation, including financial, criminal, residential, educational, foreign affiliation, prohibited substance abuse, and employment verifications. Please note that only U.S. citizens are eligible for a suitability determination.</li></ul></li></ul>Preferred Qualifications:<ul><li>PhD in Political Science, Quantitative Methods, Public Policy, Psychology, or a related field.</li><li>Demonstrated experience evaluating Mental Health and Suicide Prevention programs.</li><li>Understanding of VA evaluation frameworks and regulatory requirements.</li><li>Experience working with federal contracts, especially within the Department of Veterans Affairs.</li><li>Previous experience conducting independent assessments and drafting Congressionally Mandated Reports.</li></ul>Target salary range: $114,000 - $190,045Disclaimer:&nbsp;The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.&nbsp;Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.<h4> LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a> Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? </h4>We can recommend jobs specifically for you!Click here to get started.

Lead Quantitative Social Scientist

<h4>Overview</h4>LMI is seeking an Environmental Compliance Assessor to support a federal client in the Washington, DC area. A successful Environmental Compliance Assessor will conduct a variety of assessments, lead data entry and management efforts, and develop technical reports.&nbsp;LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.<h4>Responsibilities</h4><ul><li>Conduct environmental compliance assessments (ECAs), spill prevention control and countermeasure (SPCC) plans, and drinking water assessments (DWAs).&nbsp;</li><li>Review and update existing plans and assessments to ensure accuracy.&nbsp;</li><li>Prepare technical reports supporting a variety of real property health assessments.&nbsp;</li><li>Integrate and coordinate projects and data entry across field personnl.&nbsp;</li><li>Provide official project status reports and trip reports.&nbsp;</li><li>Develop and deliver environmental training to project staff and facility operators.&nbsp;</li><li>Coordinate with facility personnel to proactively incorporate updates into environmental compliance documentation.&nbsp;</li><li>Conduct surveys, interviews, and data analysis to inform required updates.&nbsp;</li><li>Prepare and distribute project communicaiton with clients, management, integrated project teams, and other stakeholders.&nbsp;</li><li>Review and incorporate policy and guidance changes on an ongoing basis.&nbsp;</li><li>Ensure timely input of all data, comments, and documentation into systems of record.</li></ul><h4>Qualifications</h4><ul><li>BS in environmental science, biology, environmental engineering, or related discipline.&nbsp;</li><li>3+ years in environmental assessment roles.&nbsp;</li><li>Well-versed in federal environmental policy, directives, and executive orders.&nbsp;</li><li>Ability to distill and apply complex and conflicting guidance into environmental programs.&nbsp;</li><li>Experience preparing and delivering presentations to program and senior client leadership.&nbsp;</li><li>Familiarity in CAA, CWA, RCRA, SDWA, ECAs, SPCCs, DWAs.&nbsp;</li><li>Demonstrated ability to effectively work in both a team environment and independent setting.&nbsp;</li><li>Ability to travel up to 75%.</li></ul>Target salary range: $81,000 - $139,000Disclaimer:&nbsp;The salary range displayed&nbsp;represents&nbsp;the typical salary range for this position and is not a guarantee of compensation. Individual salaries are&nbsp;determined&nbsp;by&nbsp;various factors&nbsp;including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.<h4> LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a> Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? </h4>We can recommend jobs specifically for you!Click here to get started.

Environmental Compliance Assessor

<h4>Overview</h4>LMI seeks an Energy Consultant to provide expertise in energy project development, renewable energy systems, energy efficiency, and GHG (Greenhouse Gas) accounting and reporting. The ideal candidate will support federal facilities throughout their lifecycle by improving and expanding energy efficiencies and capabilities, with a focus on sustainability initiatives. Candidates should be based in the mid-Atlantic region, preferably near the Washington, DC area. This position will be supporting Customs and Border Protection.&nbsp; LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.<h4>Responsibilities</h4><ul><li>Support the client’s facility energy project development efforts and sustainability initiatives by acting as a technical advisor for specific energy and renewable energy matters, leveraging strong data analytics skills to inform project prioritization and decision-making.</li><li>Facilitate project meetings and collaborate with senior leadership, energy managers, architects, planning and budget staff, and facility managers on energy efficiency and renewable energy solutions.</li><li>Perform quality assurance reviews of design documents and engineering studies related to energy projects.</li><li>Track inventory and manage the performance of existing renewable energy systems portfolio, providing technical and planning support for renewable energy systems not managed under active performance contracts.</li><li>Help manage existing Energy Savings Performance Contracts (ESPCs) by working with energy service contractors to identify, plan, and implement energy efficiency, renewable energy, and water efficiency measures across client portfolios.</li><li>Track and manage legacy third-party finance projects, including annual measurement and verification (M&amp;V) reporting compliance and technical support for existing energy performance contracts.</li><li>Identify, pursue, and apply appropriate financing methods (ESPC, ESPC ENABLE, UESCs), grants (AFFECT), and federal appropriations to execute energy projects and facility improvements that result in significant energy savings and/or energy demand reductions.</li><li>Conduct GHG inventories for large federal agencies and develop and implement GHG disclosure policies and procedures.</li><li>Continuously update, analyze, and troubleshoot large client data workbooks and digital tools to identify and address issues and anomalies, evaluate year-over-year trends and variances, and populate necessary fields in GHG reporting categories with narrative responses.</li><li>Advise federal agencies on data integrity considerations for both measured and estimated GHG data, including best practices for managing and validating large datasets.</li><li>Prepare executive summary reports and white papers for resilience and energy data, including standard operating procedures (SOPs), feasibility studies, position papers, and similar analytical products.</li></ul><h4>Qualifications</h4>Qualifications:<ul><li>Bachelor’s degree or higher in Environmental Studies, Economics, Sustainability, Engineering (Civil, Electrical, Mechanical, General), or a related field. Master’s degree preferred.</li><li>Certified Energy Manager (CEM) certification preferred.</li><li>Proven experience in energy project development, renewable energy systems, energy efficiency, and/or GHG emissions accounting.</li><li>Proficiency with software tools for research, analysis, reporting, communication, and collaboration (e.g., Microsoft Office suite, Power BI, SharePoint, and proprietary government real property systems and applications).</li><li>Experience in analyzing energy consumption, energy rates, and life cycle cost analysis.</li><li>Experience with TRIRIGA, SAP, and other federal data management tools, as well as federally appropriate methodologies for accessing, integrating, analyzing, and evaluating facility, asset, and utility information preferred.</li><li>Experience developing dashboards, analytics workflows, or data visualizations to support energy decision-making is highly beneficial.</li><li>Strong consultative capabilities with exceptional communication and organizational skills.</li><li>Experience managing multiple projects with independent schedules and budgets simultaneously.</li><li>Familiarity with renewable energy technologies, utility control system technologies, and energy resilience and security system technologies.</li><li>Federal or utility energy or sustainability experience preferred.</li><li>Ability to travel nationwide as required.</li><li>Must be eligible for a U.S. security clearance; US citizenship required.</li></ul>Target salary range: $98,000 - $130,000Disclaimer:&nbsp;The salary range displayed&nbsp;represents&nbsp;the typical salary range for this position and is not a guarantee of compensation. Individual salaries are&nbsp;determined&nbsp;by&nbsp;various factors&nbsp;including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.<h4> LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a> Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? </h4>We can recommend jobs specifically for you!Click here to get started.

182 Natural and Environmental Sciences Jobs