Uses skills as a seasoned, experienced research professional with a full understanding of in-depth statistical analyses and / or research software programming techniques. Demonstrates good judgment in selecting methods and techniques for obtaining solutions.
The Research Data Analyst will work as part of a Research Program team to conduct geographic information system (GIS) and epidemiologic analyses in support of research projects, manuscripts, and grant proposals. The Research Data Analyst’s primary role will be to work alongside the Principal Investigators and study teams to clean, organize, and analyze large, multilevel datasets including surveillance/cancer registry data and longitudinal data. The Research Data Analyst will develop and maintain research gathering, retrieval, and reporting systems; prepare reports and documents research methods; work independently and with a variety of integrated epidemiologic and geographic datasets; and explore and make recommendations for geospatial data resources and analytic approaches. The Research Data Analyst will participate in the design of analyses, and the tabulation and presentation of research data, as well as co-author and may lead-author scientific manuscripts. Additional tasks may include contributing to the development of grant proposals for the Research Program. The Research Data Analyst will be expected to use skills as an experienced research professional with a full understanding of statistical analyses and application of epidemiologic principles; communicate and disseminate research findings with a broad set of collaborators; provide high-level support to internal and external investigators/faculty in geospatial/GIS and epidemiologic research projects and publications.
THIS POSITION IS A 1-YEAR CONTRACT APPOINTMENT. The final salary and offer components are subject to additional approvals based on UC policy.
To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles)
Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.
For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
- Master’s degree in related area and 3+ years of relevant experience; and / or related field.
- Academic background and recognized expertise in geography or epidemiology and ability to apply advanced geography/epidemiologic principles and methods in the analysis of health data.
- Skills in project management.
- Bachelor's degree in related area and 5+ years of related experience; and / or equivalent experience / training.
- Experience with preparing reports, manuscript writing, and support grant proposals.
- Excellent oral and writing communication skills, including the ability to analyze and draw conclusions from large datasets.
- Thorough knowledge of research function.
- Thorough skills associated with statistical analysis and systems programming, database design and data security measures.
- Thorough skills in analysis and consultation.
- Skills to communicate complex information in a clear and concise manner both verbally and in writing.
- Research skills at a level to evaluate alternate solutions and develop recommendations.
- Outstanding skills in manipulating and analyzing large-scale GIS data and programming experiences in ArcGIS, R, STATA and/or SAS.
- Excellent attention to detail and organizational skills and ability to track multiple projects and responsibilities simultaneously.
- Self-management skills, Ability to work in fast paced environment under changing conditions, handle multiple complex tasks and demands, and meet deadlines and deliverables with minimal supervision.
- Ability to work collaboratively and meet deadlines and deliverables with minimal supervision.
