field_remote_option

field_job_employment_type

field_job_occupational_field_parents_all

job_organization_name

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 Kennedy School?The John F. Kennedy School of Government at Harvard University is one of 12 graduate and professional schools at the university. Harvard Kennedy School’s mission is to improve public policy and leadership so people can live in societies that are more safe, free, just, and sustainably prosperous. By combining cutting-edge research, the teaching of outstanding students, and direct interaction with practitioners, we have an impact on solving public problems that no other institution can match. When you work at Harvard Kennedy School, you make a difference. Job Description The Shorenstein Center on Media, Politics, and Public Policy seeks a full-time Senior Data and Network Scientist to support two multi-year, interdisciplinary research projects, with a focus on social media audiences, journalism, and content creators. The Data and Network Scientist will contribute to the design, implementation, and analysis of large-scale datasets drawn from social media and digital platforms.&nbsp;&nbsp;&nbsp;&nbsp; 
Job-Specific Responsibilities: The successful candidate will be responsible for acquiring and managing data using public and private APIs; building and maintaining research databases; conducting network science analyses; and working with a multidisciplinary research team to develop and refine quantitative research questions. The position requires close coordination with journalists, technologists, and social scientists. The role includes participation in regular research meetings, interfacing with academic and civil society partners, and contribution to joint publications.&nbsp; &nbsp; Qualifications Basic Qualifications: At least 5 years of related experience and a Master’s degree in computer science, data science, information science, or a related field. Demonstrated experience with social media data analysis, including the development of classifiers. Proficiency in Python and R, along with basic programming and database management skills.&nbsp;&nbsp;&nbsp; 
Additional Qualifications and Skills: <ul><li>Experience with social media platforms, networked communication environments, and data journalism strongly desired.</li><li>Ability to work independently and in team settings across disciplinary boundaries.</li><li>Experience managing complex datasets and working in collaborative research environments. Interest and aptitude for data visualization.</li><li>Ability to write clearly and concisely about data findings and methodologies.&nbsp;&nbsp;</li></ul> Additional Information <ul><li>Appointment End Date: This is a fully benefits-eligible one year term appointment, with the strong possibility of renewal.</li><li>Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position</li><li>Pre-Employment Screening: Identity, Education<ul> 
 
&nbsp;</ul></li></ul>Work Format DetailsThis is a position that is based at a Harvard campus location with some remote work options available. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.&nbsp;
Salary Grade and RangesThis position is salary grade level 058. 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

Senior Data and Network Scientist

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 Wyss Institute at Harvard University?The Wyss Institute’s mission is to transform healthcare and the environment by emulating the way nature builds. We harness the imagination of academia and the focus of industry to translate ground-breaking technologies into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky.&nbsp; We prefer to use the word “challenging,” and we love challenges. For more information&nbsp;<a href="https://wyss.harvard.edu/technologies/" target="_blank">discover our technologies</a>,&nbsp;<a href="https://wyss.harvard.edu/news/" target="_blank">catch up on our recent news</a>, <a href="https://wyss.harvard.edu/multimedia/" target="_blank">or watch our latest videos</a>. Job Description About You:You have a passion for translational research. You want to be a part of a dynamic team dedicated to creating novel approaches to brain delivery of safer, more effective therapeutics. You enjoy working with diverse groups of people and leveraging your expertise to contribute to innovations that can help improve treatment of brain diseases. You thrive in a fast-paced work environment.&nbsp;About the Role:&nbsp;The Wyss Institute’s Brain Targeting Program (BTP), led by Principle Investigator James Gorman, M.D., Ph.D. and Co-PI Donald Ingber, M.D., Ph.D., is developing brain delivery technologies that enable development of breakthrough brain-targeted therapeutics for diverse brain diseases. Our brain delivery platform enables these therapeutic advances by dramatically improving transport of drugs across the blood-brain barrier (BBB) into the brain. For more information on the BTP please visit: <a href="https://wyss.harvard.edu/collaboration/brain-targeting-program/&nbsp;" target="_blank">https://wyss.harvard.edu/collaboration/brain-targeting-program/&nbsp;</a>We are looking for a talented scientist to contribute to the development and characterization of our novel antibody brain shuttle compounds and to optimize our shuttles for specific payloads in neurodegenerative diseases. Reporting to the Principal Scientist, you will work closely with our team using both in vitro cellular systems and in vivo humanized mouse models. You will determine the biophysical properties and brain PK/PD profiles of our shuttle compounds, and assess therapeutic applications of our shuttles.&nbsp;What you'll do:&nbsp;<ul><li>Support in vitro and in vivo validation of antibody shuttles, using protein and cell binding assays, and in vivo brain and blood pharmacokinetics and pharmacodynamic (PK/PD) studies in mouse models</li><li>Participate in vivo studies, including tail-vein injection, tissue (brain, blood and peripheral tissues) harvesting and lysate preparation.</li><li>Perform ELISAs using various types of samples; analysze and summarize data in a timely fashion.</li><li>Under the direction of the Principal Scientist, conduct biophysical characterization of antibodies, including affinity determination with SPR (Biocore) and stability assessment</li><li>Manage one or more projects to optimize shuttles for specific therapeutic payloads to treat specific neurodegenerative diseases.</li><li>Independently develop, validate, and perform various protocols including confocal microscopy, flow cytometry, cell-based assays, plate-based ELISA assays, and others</li><li>Analyze and interpret experimental data, learn new skills, troubleshoot, and contribute intellectually to projects</li><li>Present data and results at internal and external meetings</li><li>Perform support activities and lab maintenance as assigned, and function in a team-oriented environment with other scientists and staff at the Institute, as well as with external collaborators</li><li>Mentor and train less experienced technicians, academic trainees, and others</li><li>Demonstrate a commitment to teamwork, scientific rigor, and collaboration within and across teams.&nbsp;</li></ul> Qualifications What you'll Need:&nbsp;<ul><li>Bachelor’s degree neuroscience, biology, molecular biology, biochemistry, or related field.</li><li>A minimum of 4 years of experience with cell culture, rodent handling, protein/antibody analytics, and molecular and cellular biology techniques such as ELISA, western blotting, confocal imaging, fluorescence-activated cell sorting (FACS), or related experience. Advanced education may count towards years of experience.</li></ul>Desirable Skills:&nbsp;<ul><li>PhD strongly preferred in neuroscience, biology, molecular biology, biochemistry or related field.</li><li>Industry experience preferred.</li><li>Experience with protein science and analytics, including experience with BLI, SPR, SEC and others.</li><li>Ability to work independently as well as to collaborate with a multidisciplinary, diverse group of scientists and allied personnel.</li></ul> Additional Information <ul><li>Standard Hours/Schedule: 35 hours per week</li><li>Pre-Employment Screening: Identity, Education, Criminal, Occupational Health Screening</li><li>Other Information:&nbsp;Offer contingent on successful completion of pre-placement medical evaluation</li></ul>Why you’ll like working with us:&nbsp;&nbsp;At the Wyss Institute, you’re a member of a supportive, dynamic community that is united by its shared goal of changing the world through groundbreaking technology development and commercialization. We encourage your professional growth and development through mentorship and tuition reimbursement to support continued learning, and more. We also support your physical, financial, and mental well-being through generous time off benefits, gym reimbursements, and other programs offered through Harvard. Our facility is located in a new, state-of-the-art life sciences building in the lively Fenway neighborhood, where you have access to multiple amenities including a roof top terrace with stunning views of Boston and proximity to numerous restaurants and cultural attractions.&nbsp; We value an inclusive and diverse workforce, and believe that our differences enrich the work environment for all.&nbsp;Not ready to apply? <a href="https://bit.ly/3XjOml8" target="_blank">Join our talent community</a> to stay up to date on career information and the latest news from the Wyss Institute.&nbsp;Work Format DetailsThis position is based on-site at a Harvard campus location. Additional details will be discussed during the interview process. Certain visa types may limit work location. Individuals must meet work location sponsorship requirements prior to employment.&nbsp;
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/files/provost/files/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.&nbsp;Harvard has an <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity</a> policy that outlines our commitment to&nbsp;prohibiting discrimination on the basis of race, sex, ethnicity, color, national origin, religion, disability, or any other characteristic protected by law or identified in the university’s <a href="https://provost.harvard.edu/files/provost/files/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</a> policy and <a href="https://provost.harvard.edu/files/provost/files/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.&nbsp;

Scientist I- Brain Targeting Program

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 Business School?Harvard Business School, located on a 40-acre campus in Boston, was founded in 1908 as part of Harvard University. It is among the world's most trusted sources of management education and thought leadership. For more than a century, the School's faculty has combined a passion for teaching with rigorous research conducted alongside practitioners at world-leading organizations to educate leaders who make a difference in the world. Through a dynamic ecosystem of research, learning, and entrepreneurship that includes MBA, Doctoral, Executive Education, and Online programs, as well as numerous initiatives, centers, institutes, and labs, Harvard Business School fosters bold new ideas and collaborative learning networks that shape the future of business. Job Description Job Summary:Lead comprehensive applications/web development for highly complex projects; typically work as part of a team to implement complex business solutions. Deliver strategic and expert coding; focus on overarching development strategy for a large, complex, multi-faceted application. May manage a number of projects simultaneously. 
Job Specific Responsibilities:Harvard Business School will not offer visa sponsorship for this opportunity. 
 
We are seeking a talented Generative AI Engineer to join our team. In this role, you will design, develop, and deploy state-of-the-art generative AI models, directly impacting our platform's ability to provide interactive and intelligent tools for our users. 
 
As a Senior Data Scientist specializing in Generative AI applications, you will play a pivotal role in developing innovative generative AI products that support the Harvard Business School (HBS) Foundry team and learners on our platform. This key technical role requires hands-on expertise across data science, machine learning, and AI solutions. You will manage the lifecycle of artificial intelligence algorithms and tools across a variety of domains. The Foundry Team will support with domain knowledge.Responsibilities Include:<ul><li>Build trust&nbsp;and collaboration by being present on-site and engaging directly with colleagues and&nbsp;various constituents.</li></ul>AI Tool Development and Implementation<ul><li>Design and implement efficient data pipelines for data collection, cleaning, labeling, and preprocessing</li><li>Ensure quality of datasets tailored for LLM training for each product. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build code and provide documentation with ways of working to maximize time to value, re-usability, and scalability.</li><li>Designing, developing, deploying, and implementing multi-agent AI tools that:<ul><li>Assess and provide feedback on venture-related submissions</li><li>Automatically generate pitch decks, financial projections, marketing strategies, and other materials to support entrepreneurs</li><li>Act as a counterparty to simulate important entrepreneurial interactions such as customer interviews, negotiations with an investor, etc.</li><li>Designing generative AI models using techniques like natural language processing and machine learning that can power interactive tools on HBS Foundry.</li></ul></li><li>Designing an AI-powered system that collects key factors to determine a learner’s profile, entrepreneurial progress, and venture progress, and provides customized learning pathways based on these factors.</li><li>Integrating AI tools into the HBS Foundry platform in a seamless manner so they are easy for users to access and utilize.</li><li>Collaborate on technical vision to accelerate product impact through cutting-edge LLM innovations.</li><li>Building guardrails, compliance rules, and oversight workflows into the GenAI tools and Foundry platform.</li><li>Continually improving AI tools using feedback from users to ensure they are providing valuable assistance.</li></ul>Project and Performance Management<ul><li>Monitor, debug, track, and resolve production issues.</li><li>Work with the Foundry Project Director to ensure that projects proceed on time and on budget.</li><li>Collaborate with Product Managers to ensure proper tracking of performance KPIs and prioritize improvements based on effort and impact.</li><li>Presenting prototypes and progress updates to stakeholders.</li></ul>Research and Collaboration<ul><li>Staying up to date on the latest advances in AI/ML research and identifying how new techniques could enhance the HBS Foundry platform.</li><li>Collaborating with a team of engineers, designers, and subject matter experts to deliver high-quality, helpful AI-powered experiences.</li></ul>This role is responsible for other duties as assigned.&nbsp; Qualifications Basic Qualifications:<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li><li>Advanced degree in computer science, data science, engineering, or a related field within AI/ML</li></ul>Additional/Desired Qualifications:<ul><li>3+ years of experience building (Generative) AI models and tools highly preferrable</li><li>Experience working in a similar role in a startup environment preferrable</li><li>Expertise in NLP, deep learning, and other relevant techniques</li><li>Strong programming skills in Python and frameworks like TensorFlow</li><li>Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools</li><li>Experience integrating AI into consumer-facing applications (front-end and back-end development for integrating AI solutions into web applications</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools (such as NeMo)</li><li>Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems</li><li>Experience working with a variety of relational SQL and NoSQL databases, big data tools (such as Hadoop, Spark, Kafka), and at least one cloud provider solution (AWS highly preferrable)</li><li>Experience in using version control systems such as Git.</li><li>Experience with containerization and orchestration tools like Docker and Kubernetes.</li><li>Experience with API development and integration for AI services.</li><li>Understanding of and experience with of software engineering best practices like version control, CI/CD, and containerization</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications</li><li>Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning</li><li>Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems</li><li>Experience operationalizing end-to-end machine learning applications.</li><li>Excellent communication and collaboration skills</li><li>Passion for using AI to solve real-world problems</li></ul> Additional Information <ul><li>Appointment End Date: June 30, 2026</li><li>Standard Hours/Schedule: 40 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, Education, Criminal</li><li>Other Information: </li></ul>This role has the possibility of being&nbsp;remote or hybrid. 
Remote&nbsp;work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA - exempt roles only, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). We consider&nbsp;hybrid&nbsp;to be a combination of remote and 3 days per week onsite work at our Boston, MA based campus. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. 
 
We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role.As part of our evaluation, candidates are required to complete a&nbsp;Take Home Assignment / Hacker Rank assessment&nbsp;after clearing Technical Recruiter Screen. This assignment will test your specific skills/knowledge areas relevant to the role 
 
A cover letter is required to be considered for this opportunity.Work Format DetailsThis is a position that is based at a Harvard campus location with some remote work options available. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.&nbsp;
Salary Grade and RangesThis position is salary grade level 059. 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.

Senior Data Scientist, Generative AI Products

Company Description By working at Harvard University,&nbsp;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 Graduate School of Education?The Harvard Graduate School of Education (HGSE) is a diverse community of learners, teachers, and employees who are passionate about changing the world through education and striving for maximum impact in the field of education.Many choose to work at the Harvard Graduate School of Education because they believe in our mission and are excited by our vision for the future. We have a reputation as a great place to work, for our excellent leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: <a href="http://www.gse.harvard.edu" target="_blank">www.gse.harvard.edu</a>. Job Description Job Summary:Design, plan, and implement software and data services that support and enrich research productivity and reliability.&nbsp; Develop software and data services with researchers to ensure that modern standards of reproducible research are kept. 
Position Description:HGSE is a diverse community&nbsp;of learners, teachers, and employees who are passionate about changing the world through education and striving for maximum impact in the field of education. The Senior Data Scientist at the Center for Education Policy Research (CEPR) at Harvard University leads statistical programming, collaborates with Principal Investigators to develop advanced models and analysis tools, develops data architecture and data processing pipelines, works with multiple stakeholders and develops visualizations to communicate key findings to non-technical audiences, and advises projects on state-of-the-art software and data solutions to support the research. CEPR partners with school districts, charter school networks, and state education agencies to bring high quality research methods and data analysis to bear on strategic management and policy decisions. We believe that (1) policy and management decisions directly influence the ability of schools and teachers to improve student achievement; and (2) valid and reliable data analysis significantly improves the quality of decision-making. We design our work around the theory of action that if we bring together the right people, the right data, and the right analysis, significantly better decision-making will occur, and student outcomes will be improved.&nbsp;The Senior Data Scientist reports to CEPR’s Director of Research who will identify specific projects and tasks that would benefit from the Senior Data Scientist’s expertise.&nbsp; 
&nbsp;Job-Specific Responsibilities:<ul><li>Develops advanced models and performs complex statistical programming to support the research.</li><li>Advises research projects on state-of-the-art technical solutions to analytic and data challenges.&nbsp;</li><li>Translates complex analyses for policy and practitioner audiences and develop visualizations that help people understand key findings and new insights.&nbsp;</li><li>Mentors research analysts on statistical programming and informally supervise the analyst on any tasks that the Senior Data Scientist assigns to them.</li><li>Serves as a resource to the team for computer programming and statistics. Occasionally, group training on specific tools or models.&nbsp;&nbsp;</li><li>Builds internal code design and development guides for future contributors,</li><li>Conducts quality assurance to ensure the reproducibility of analyses, documentation of methods and algorithms, and use of appropriate statistical tests.</li><li>Collaborates with Principal Investigators and Project Directors to develop research plans and statistical analyses.</li><li>Contributes to papers and reports.</li></ul>Please Note: Any candidate wishing to be considered must supply a cover letter in addition to their resume showing that they meet the required basic qualifications. Any candidate invited to an initial round of interview will be asked to submit a sample program.&nbsp; Any candidate invited to a second round of interview will be asked to complete a case.&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; 
Physical Requirements: 
Working Conditions:HGSE is currently developing dynamic workplace models which will actively support a combination of on-campus and remote work (within a state in which Harvard is registered to do business) where business and operational needs allow. You and your manager will discuss the best schedule based on your role and operational need. If your role allows for remote work, please note that all remote work must be performed within a state in which Harvard is registered to do business (CA (Only Exempt), CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT, and WA). Please also note that Harvard will withhold each applicable state’s required tax and other withholdings from your paycheck for the time you work there. 
 
The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC-recommended vaccines. 
 
We regret that the Harvard Graduate School of Education does not provide Visa sponsorship. Qualifications Basic Qualifications:<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul> 
Additional Qualifications and Skills:Bachelor’s degree in computer science, Statistics, Data Science, Economics, Mathematics, or a related field.&nbsp;7+ years of relevant experience or post-secondary education.3+ years’ experience in advanced statistical programming using Stata or R.Additional Qualifications and Skills:&nbsp;Master’s degree preferred.5+ years experience in statistical programming preferred.3+ years experience supporting social science research projects preferred.Experience with Bayesian estimation, machine learning, natural language processing, cloud-based computing, and/or Artificial Intelligence strongly preferred.Experience with managing and analyzing large datasets, scaling processes, developing data architectures, and developing R packages preferred.Experience with version control software (such as Git), code reviews, and unit testing preferred.Ability to translate technical topics for non-technical audiences and to develop analyses and visualizations that convey key findings clearly.Demonstrated creative ability to solve challenges in novel ways using state-of-the-art statistical and data processing techniques.Experience working with K-12 or postsecondary education data a plus.&nbsp; 
Certificates and Licenses: 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:Education,Identity </li><li>Other Information:HGSE Human Resources values diversity in all forms and believes that each employee brings a set of diverse experiences and identities to the workplace that makes us stronger, encourages innovation, and enhances our collective contributions.&nbsp; We continue to develop and support a workforce that reflects the diversity of those we serve; fosters an environment that allows everyone to belong and to bring their best self to work; and creates the conditions that empower employees to contribute their full potential to advancing the work of the school.We do this by:<ul><li>Hiring and retaining staff reflecting the diversity of those we serve</li><li>Providing employees opportunities to learn, grow, and be challenged</li><li>Reviewing and ensuring fairness and equity in HR practices and policies including but not limited to hiring, promotion, and compensation</li><li>Developing strong relationships and partnerships internal and external to our community to advance diversity and inclusion</li><li>Communicating transparently and respectfully; and</li><li>Fostering an inclusive, respectful, and professional work environment</li></ul> 
About the Harvard Graduate School of Education 
 
Many choose to work at the Harvard Graduate School of Education because they believe in our mission and are excited by our vision for the future. We have a reputation as a great place to work, for our excellent leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: <a href="http://www.gse.harvard.edu" target="_blank">www.gse.harvard.edu</a></li></ul>Work Format DetailsThis is a position that is based at a Harvard campus location with some remote work options available. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.&nbsp;
Salary Grade and RangesThis position is salary grade level 058. 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/files/provost/files/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.&nbsp;Harvard has an <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity</a> policy that outlines our commitment to&nbsp;prohibiting discrimination on the basis of race, sex, ethnicity, color, national origin, religion, disability, or any other characteristic protected by law or identified in the university’s <a href="https://provost.harvard.edu/files/provost/files/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</a> policy and <a href="https://provost.harvard.edu/files/provost/files/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.&nbsp;

4 Natural and Environmental Sciences Part Time Jobs