Data Analyst – Division of HIV, Infectious Diseases and Global Medicine

MED-ZSFG-AIDS

Part Time

76203BR

Job Summary

Works on research data reporting assignments that are of moderate diversity in scope. Exercises judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.

The Data Analyst will be an integral member of a dynamic, collaborative research team with a diverse research portfolio focused on investigating the relationship between food insecurity and health, and designing and evaluating interventions to improve food insecurity in populations with or at risk for chronic illness, in both domestic and international settings. To achieve these goals, this team works closely with researchers based in institutions across the US and internationally, in addition to several community nonprofits and public organizations. The Data Analyst will contribute to conducting a range of intermediate analytic and coordination activities that require some prior scientific training and related experience.

The Data Analyst will use research professional skills for multiple areas of inquiry, displaying intermediate understanding of statistical analyses and research software programming techniques. The Data Analyst will be the analyst for two randomized trials of food security interventions, one among adults with type 2 diabetes in the San Francisco Bay Area, and the other among adults living with HIV in the Dominican Republic. In this role, they will conduct data management and analysis with a moderate degree of independence, demonstrating good judgment in selecting methods and techniques for obtaining solutions under the guidance of senior statistical experts.

• Content areas will primarily cover quantitative data management and analysis, which requires prior training and knowledge. They may also contribute to qualitative analysis as needed. They should have both academic and some job-related experience working in Stata, R, or similar software to accomplish data management and analytic tasks.
• The Data Analyst will implement pre-analysis preparation of data, including data cleaning, coding, and development of scales and testing of internal reliability.
• The Data Analyst should be moderately familiar with advanced statistical procedures used to work with multivariable and longitudinal data for both observational and intervention studies (e.g., RCTs) and be prepared to further develop these on the job. The Data Analyst should be able and willing to take an active role in discussions of the pros and cons of these various strategies in a collaborative environment, considering both academic rigor and real-world analytic needs, and contribute to recommendations for statistical approaches.
• For all analyses, the Data Analyst will contribute to the interpretation of study results and develop recommendations based on study findings in collaboration with research team members. The individual will also make independent contributions at an intermediate level to writing both grants and manuscripts for publication.
• The Data Analyst will also contribute to some study coordination and administration tasks, including contributing to progress reports, clinical trials registration updates, and identifying problems.
• The Data Analyst will interface with academic and/or community research partners around data-related issues and topics, including with study partners in the Dominican Republic which will require professional Spanish language proficiency. This position may include periodic travel to international study sites, as needed. Thus, in addition to the skills required for the analytic tasks, strong interpersonal and communication skills and a collaborative nature are needed. The Data Analyst will be expected to exercise independent judgement to make decisions in areas that fall within standard guidelines and practices. Finally, they should be interested in working to improve the health of populations experiencing social and economic marginalization and/or health equity.

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 (ucop.edu)

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

Department Description

The Division of HIV, Infectious Diseases and Global Medicine at UCSF is an internationally recognized global leader in clinical care, research and education. With its home-base located at ZSFG, the Division has been ranked as the top facility in the country for AIDS care for over ten years. The Division’s work is featured frequently in the media, and it is often visited by international, national, state and local dignitaries and delegations. The Division consists of approximately 36 faculty members and 140 academic and staff employees. It is the largest Division of the Department of Medicine at ZSFG, with a total expenditure budget of approximately $45 million dollars.

Required Qualifications

• Bachelor’s degree in related area and one (1) or more years of relevant experience and / or equivalent experience / training
• Spanish language proficiency (spoken, written)
• Skills in project management
• Working knowledge of and some experience using Stata, R or other similar statistical software to manage, clean, analyze, and present data, and Microsoft suite
• Working knowledge of research function, specifically planning, execution and analysis of intervention studies addressing social determinants of health in HIV, diabetes and/or other conditions
• Working skills associated with statistical analysis of intervention studies, and systems programming to maintain study databases and conduct analyses
• Working knowledge to implement statistical methods including random, mixed and individual fixed effects regressions to analyze clustered and/or longitudinal data, with continuous, dichotomous, categorical, and/or zero-inflated outcomes, including testing model assumptions and identifying solutions related to common data issues including missing or skewed data. Willingness to learn on the job to fill in areas of less knowledge to implement statistical methods
• Ability to work well independently, complete projects in a timely manner, and prioritize multiple projects to ensure the completion of essential tasks by deadlines
• Attention to detail; strong interpersonal skills; excellent, effective verbal and written communication skills to coordinate with subjects, team members, other departments and outside institutions

Preferred Qualifications

• Working experience creating, maintaining and running reports from research databases (e.g., REDCap)
• Skills to communicate complex information in a clear and concise manner both verbally and in writing
• Experience with research dissemination (e.g., authoring, coauthoring or contributing to scientific journal manuscripts, internal reports, and other documents disseminating research results), and demonstrated writing skills in a science/research environment
• Experience with preparing materials for oversight or stakeholder bodies, such as a Data and Safety Monitoring Board (or other similar body), Institutional Review Boards, advisory boards, or study co-Investigator including reports on study progress, recruitment and protocol deviations, and data-related updates
• Experience with research focusing on social, structural, and economic drivers of health, particularly in the context of HIV, diabetes and/or chronic diseases. Specific experience with food insecurity measures and data a bonus
• The ability to multi-task in a fast-paced environment while working with a diverse study population
• Ability to effectively problem-solve logistical issues, adjust in real time, proactively identify issues and suggest solutions on how to make projects run more smoothly
• Experience and/or interest in working on issues affecting populations experiencing social and economic marginalization and/or on issues related to health equity
• Master’s degree in a related field of study with coursework and applied knowledge pertaining to epidemiology, biostatistics, behavioral sciences, quantitative research, and/or public health
• CITI Certified

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 diversity.ucsf.edu

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

006256 RSCH DATA ANL 2

Job Category

Clinical Labs, Professional (Non-Clinical), Project Management, Research and Scientific

Bargaining Unit

99 – Policy-Covered (No Bargaining Unit)

Appointment End Date

31-Aug-2025

Location

Flexible (combination of onsite and remote work), Zuckerberg San Francisco General (ZSFG)

Additional Shift Details

Monday-Friday