"Research Data Analyst"

Please note: duration approximately four months; will include optional medical benefits, holiday pay and sick leave accrual.

Please include writing sample with your resume submission.

We are seeking a skilled Qualitative Data Analyst to join our research team for an NIH-funded project on a couples-based intervention for perinatal depression. This position requires 3-4 years of experience conducting rigorous qualitative analysis and translating findings into high-quality scientific manuscripts. The ideal candidate will have demonstrated expertise in qualitative methodologies and a track record of publishing in peer-reviewed journals. The role includes leading the analysis of qualitative implementation data and documenting the intervention development process for dissemination.

Responsibilities:

• Perform thematic analysis using established frameworks (e.g., thematic analysis, grounded theory, framework analysis) to identify patterns, themes, and key findings
• Develop manuscripts for 2-3 peer-reviewed publications, including drafting introduction, methods, and results sections
• Develop dissemination presentations for scientific conferences
• Develop unidentified qualitative data to be uploaded qualitative data repository per NIH data guidelines
• Synthesize existing formative research data and collaborate with intervention developers and the Principal Investigator to accurately document the development process
• Prepare supplementary materials, including detailed codebooks, analytical memos, intervention description tables (e.g., TIDieR checklist), and logic models

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html