Lead Data Analyst

Job Description

The Population Studies and Training Center (PSTC) at Brown University is seeking a Lead Data Analyst to work with Professor Elizabeth Fussell (PSTC (Research)) on several projects involving the analysis of data on the health and mobility outcomes of disaster-affected populations. The Lead Data Analyst will participate in data management, statistical analysis, assist with grant proposals, manuscript production for publication in peer-reviewed journals, and presentations at scientific conferences. Publications stemming from the designated research projects may be co-authored with Prof. Fussell and other co-investigators.

This 18 hour a week position is 100% grant funded and is renewable annually up until March 31st, 2028 based on satisfactory work performance and depending on funding source.

Education and Experience

• Bachelor's degree in a related field and 5 to 7 years experience or equivalent combination of education and experience. Master's degree in Statistics, Health, or Social Sciences, preferred.
• Experience in Stata required, SAS or R preferred.
• Ability to work well both independently and collaboratively.
• Effective at communicating with interdisciplinary audiences whose technical backgrounds vary widely.
• Efficient time management skills.
• Proven ability to work effectively on multiple projects at the same time.
• Knowledge and experience in design and construction of databases with SAS.
• Experience analyzing and managing large complex data sets
• Highly proficient in statistical software packages (e.g., Stata and SAS or R)

All offers of employment are contingent upon a criminal background check and education verification satisfactory to Brown University.

Note: Applicants must submit a cover letter and CV/resume.

Additional physical demands and working conditions:

The Position Work Location is Hybrid Eligible with a 2 days/week onsite requirement at the Federal Statistical Research Data Centers (FSRDC) with a preference for Boston RDC, other FSRDC locations could be considered.