Job description

ANSIRH seeks a Data Analyst with strong quantitative data analysis skills to manage and analyze data from several research projects. One of these projects is the California Home Abortion by Telehealth (CHAT) study, led by Principal Investigator Dr. Ushma Upadhyay. The other project is the Drug and Alcohol Pregnancy Policies (D-APPS) study, led by Dr. Sarah Roberts. The Data Analyst will support data analysis on CHAT, D-APPS, and other studies as opportunities arise. The incumbent will develop and support analysis plans, manage, clean and analyze project data, develop tables for manuscripts, draft methods and research results for manuscripts, participate in the dissemination of research findings via manuscripts and presentations, be co-author on manuscripts they contribute to, and provide other research/project support as needed. The Data Analyst will work within a multidisciplinary team at ANSIRH and will contribute to other research projects as needed.

Position requirements include experience with research design, implementation, and analysis. This position requires advanced level data analysis skills, with a preference for experience analyzing large administrative data such as health insurance claims data. An enthusiasm for juggling multiple priorities and working across multiple teams will be considered. Comfort working in an environment in which abortion is discussed frequently is essential.

Please note: This is a one year contract position, anticipated to end one year after hire. There is a hybrid remote schedule, with work from home and on-site work in Oakland, CA.

Department Description

Advancing New Standards in Reproductive Health (ANSIRH) is a collaborative research group at UCSF and a program of the Bixby Center for Global Reproductive Health. At ANSIRH, we conduct innovative, rigorous, multidisciplinary research on complex issues related to people’s sexual and reproductive lives. Our work is informed by understanding of the role that structural inequities play in shaping health. We believe in the importance of research in advancing evidence-based policy, practice, and public discourse to improve reproductive wellbeing. We envision a world in which all people have the resources, support, and freedom to achieve reproductive wellbeing. We value integrity, collaboration, innovation, cultivation, and justice.

ANSIRH is committed to building and supporting a diverse and inclusive workplace. As UCSF employees, ANSIRH faculty and staff have access to a comprehensive benefits package (health, dental, vision, retirement, commuter, etc.), as well professional development opportunities, wellness programs, and many other benefits ( In addition, ANSIRH prioritizes continuous learning, work-life balance, and employee engagement.

The Department of Obstetrics, Gynecology and Reproductive Sciences (Ob/Gyn & RS) is a major academic Department in the School of Medicine (SOM), engaged in clinical, research, and training activities throughout the Bay Area. The mission of the UCSF Department of Ob/Gyn & RS is to improve the lives and health of all women through excellence, innovation, and leadership in patient care, scientific discovery, education, and advocacy. The Department of OBGYN & Reproductive Sciences is committed to providing quality health care services; educating health care providers and investigators; and conducting research to advance knowledge in our field.

Required Qualifications

  • Bachelor's degree in statistics / epidemiology / public health / related field and/or equivalent experience/training
  • Experience with advanced level of statistical analysis in STATA or similar statistical analysis software
  • Demonstrated ability in advanced level of statistical analysis in STATA or similar statistical analysis software
  • Demonstrated ability to clean, code and analyze data in STATA statistical software or similar statistical analysis software
  • Advanced training in quantitative research methods
  • Advanced knowledge of Microsoft Office, including Word, Excel and PowerPoint
  • Detail-oriented with the ability to manage multiple projects simultaneously and to prioritize tasks
  • Ability to work independently and as part of a team
  • Committed to an intersectional framework that includes, gender, economic, and racial justice

Preferred Qualifications

  • Master’s Degree in public health/ social sciences / related field
  • Experience analyzing large administrative data, such as health insurance claims
  • Knowledge of UCSF policies and procedures and research administration, including UCSF IRB, MyResearch, Qualtrics, RedCap, and Salesforce
  • Experience analyzing large administrative data, such as health insurance claims data

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 at

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.



Job Code and Payroll Title

006257 RSCH DATA ANL 3

Job Category

Professional (Non-Clinical), Research and Scientific

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class




Appointment End Date



Hybrid-Remote, Oakland, CA



Shift Length

8 Hours

Additional Shift Details

Monday-Friday, 8:30am-5:00pm

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