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Research Data Analyst at UCSF Health in San Francisco, CA
Skills
Job Description
Job Summary:
The Gaw Lab (https://gawlab.ucsf.edu/) is seeking a part-time Research Data Analyst to join our collaborative group to study maternal-fetal immune responses. This position will primarily assist with data analysis and visualization. Other duties included but not limited to the following:
- Under direct supervision, performs basic statistical and data analysis. Attend virtual meetings with team members (scheduled and impromptu). Provide detailed weekly reports.
- Collects research data and prepares it for analysis.
- Assists with study design proposals and survey instruments.
- Supports testing of research instruments and data sources.
- Assists with report preparation and / or analysis for internal constituents.
- Assists with evaluation and research of data reporting products.
- Develops knowledge in areas of storage, documentation and dissemination of computerized data.
This part-time position will be at an estimated ~10-20 hours/week, flexible as needed to help meet deadlines.
The lab is focused on understanding of the unique innate and adaptive immune responses in pregnancy to infection and vaccination, with a focus on global infectious diseases, such as COVID-19, malaria, Zika, and RSV. Our studies leverage biospecimens collected from pregnancy cohorts to understand placental responses to infectious exposure, and the functional impact on placental development as it relates to adverse pregnancy outcomes.
Department Overview:
The Department of Obstetrics, Gynecology and Reproductive Sciences (Ob, Gyn & RS) is a major academic Department in the School of Medicine, engaged in clinical, research and training activities at the Parnassus, Mount Zion, and Zuckerberg San Francisco General Hospital campuses, the new Betty Irene Moore Women’s Hospital at Mission Bay, as well as satellite locations throughout the Bay Area, with an annual operating budget of $150 million. The Department has 134 full-time faculty, 117 other academic appointees, 13 post-doctoral fellows, 22 clinical fellows, 32 residents, 138 voluntary clinical faculty and 270 staff.
The mission of the Department of Obstetrics, Gynecology & Reproductive Sciences is to improve the lives and health of all women through excellence, innovation and leadership in patient care, scientific discovery, education, advocacy, and diversity, equity and inclusion. We are committed to providing quality health care services; educating health care providers and investigators; and conducting research to advance knowledge in our field.
Reasonable accommodation(s) to qualified individuals with disabilities are available as part of the application and interview processes. If you would like to request accommodations, please contact the recruiter or hiring manager. If workplace accommodations are needed after a job offer is made, please contact the supervisor and/or Disability Management Services (DMS) at (415) 476-2621 to initiate the interactive process.
Responsibilities
| % of time |
Essential Function (Yes/No) | Key Responsibilities (To be completed by Supervisor) |
|---|---|---|
| 65 | Yes | Under direct supervision, performs basic statistical and data analysis. Attend virtual meetings with team members (scheduled and in promptu). Provide detailed weekly reports. |
| 10 | Yes | Collects research data and prepares it for analysis. |
| 5 | Yes | Assists with study design proposals and survey instruments. |
| 5 | Yes | Supports testing of research instruments and data sources. |
| 5 | Yes | Assists with report preparation and / or analysis for internal constituents. |
| 5 | Yes | Assists with evaluation and research of data reporting products. |
| 5 | Yes | Develops knowledge in areas of storage, documentation and dissemination of computerized data. |
| 100% | (To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.) |
Qualifications
REQUIRED:
- Bachelor's degree in related area (e.g. computational sciences, statistics, data science, bioinformatics) and / or at least 3 months of equivalent experience / training.
- Acquiring knowledge of research function. Acquiring ability to perform research analysis duties.
- Acquiring statistical analysis, systems programming, and database design skills to perform research analysis duties.
- Ability to effectively manage time and see assigned parts of projects through to completion on deadline.
- Excellent consultation and communication skills.
- Prior experience with R and/or Python
- Ability to manage a flexible work schedule.
- Prior experience with analysis of “-omics” data
- Ability to work in a collaborative team environment
- Ability to meet deadlines, sometimes on short notice (e.g. less than 2 days).
- Willingness to use communication systems such as Slack for team communication.
PREFERRED:
- Knowledge of basic statistical methods applied in clinical research and computational biology
- Prior experience with Microsoft Excel, REDCap
About the Company
About UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values.
In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.
Join us to find a rewarding career contributing to improving healthcare worldwide.
Equal Employment Opportunity
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Salary Information
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