Data Analyst-Associate (On-Site)

Join a federally funded clinical and translational research laboratory whose active portfolio spans immune resilience, biological aging, military performance, infection, asthma, exercise physiology, heat stress, and trauma, with scientific output reaching multispecialty journals including Nature Communications and Aging Cell. The Data Analyst — Associate supports the research data management, reporting, and analytical workflows that underlie this portfolio.

This position may be filled at multiple education and training levels, including candidates with a bachelor’s degree in biology, biostatistics, biomedical informatics, or a related field (with relevant analytical experience), candidates with a master’s degree, and candidates with a doctoral (PhD) degree. The specific appointment will be calibrated to the candidate’s background and the laboratory’s active analytical needs.

Reporting to the Principal Investigator and senior analytical personnel, the Data Analyst — Associate contributes to the compilation, review, and submission of research data, reports, and documentation across the laboratory’s active studies. Core responsibilities include supporting data management for ongoing clinical and translational research, preparing study progress reports for federal sponsors and institutional stakeholders, developing ad hoc analytical reports as requested, maintaining documentation consistent with institutional and regulatory requirements, and ensuring that research reporting is accurate, timely, and audit-ready.

The role is positioned to support scientific decision-making across the laboratory’s active federally funded research. The successful candidate will work with the Principal Investigator, the laboratory biostatistician, postdoctoral fellows, and research coordinators, contributing to the analytical infrastructure that supports the laboratory’s publication record and sponsor reporting obligations. This position supports research operations and academic activities, including clinical and translational research, and is not focused on financial analysis, budgeting, accounting, or financial reporting.

- Experience in manipulating and analyzing data from varying sources to determine reporting needs and design specifications.
- Familiarity of empirical research and answering questions with data.
- Experience with statistical tools such as SPSS, SAS, or similar analytic tools.
- Experience in dashboard sustainment using visualization tools such as but not limited to Tableau.
- Proficient written and verbal skills, including the ability to convey information effectively.
- Ability to work with a diverse group of colleagues as part of a diverse and dynamic team.

Education:

- Bachelor's Degree degree in a related field is required.

Experience:

- Two (2) years of related experience is required.