Data Scientist
Job Summary This is a contract role that will be expected to end 12 months from the date of hire.
Involves gathering, analyzing, and interpreting a wide variety of research data, with emphasis on clinical information including electronic health records, patient-reported outcomes, and imaging data. Designs and conducts research including selecting data samples, developing research instruments, designing studies and developing analysis plans, implementing analysis plans on collected information according to established statistical and/or informatics approaches, and developing proposals and recommendations based on research findings. Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results. Research will involve clinical application in ophthalmology (eye care) and oncology.
The position will require an incumbent who is comfortable working with independence; consulting with and advising investigators to refine research questions, define hypotheses, design studies and devise analysis plans; and working with project team members-including other statistician(s), methods content experts, and clinicians-to implement analysis plans, publish findings and prepare grant proposals. The incumbent must be proficient at balancing involvement in multiple simultaneous projects and prioritizing to manage competing priorities.
Under minimal supervision, the incumbent will perform complex technical work associated with a wide variety of analytical data and may supervise and advise students, trainees, and other analysts performing data analysis. The incumbent will work closely with others to interrogate databases to create analytic files, perform quality control and data cleaning, and manage and analyze data. The incumbent will present results orally to clinical investigators and provide guidance to clinical investigators on design and analysis issues.
The incumbent will be using data analyses, large-scale data sets preferably in health care, and involving traditional inferential biostatistical approaches (e.g., regression analyses) and/or informatics-based machine learning approaches. Must be proficient in multiple programming languages, such as SQL, Python, R, and/or SAS or Stata, and have experience and basic understanding of secure cloud computing infrastructure for data management of protected health information. Applicable research experience in developing innovative approaches involving new technology and artificial intelligence, including the integration of large-scale imaging and text-based clinical data, is helpful. May propose and pursue research relevant to statistical or informatics methods and applications, complementary to existing work. The incumbent will be supported to publish findings in a first or senior authorship role, as appropriate. 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. The salary range for this position is $87,900 - $187,700 (Annual Rate). 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 UCSF Department of Ophthalmology is one of the leading ophthalmology departments in clinical care, training, and research nationwide. The Department of Ophthalmology is one of the largest recipients of federal grant funds among peer departments. We are ranked 1st in National Eye Institute Funding and 2nd in overall National Institutes of Health (NIH) funding in the country. Additionally, we have been the #1 recipient of the Research to Prevent Blindness funding nationwide with nearly $1.2 million granted in a single year. Overall, the Department has a wide-ranging portfolio of 60 active research grants.
UCSF's renowned eye care services have a new state-of-the-art home. In November 2020, the Wayne and Gladys Valley Center for Vision opened its doors. Located at UCSF's Mission Bay Campus, the center houses the Vision Clinics, where many of UCSF's eye care programs have relocated, as well as research and teaching facilities. Ophthalmology conducts its patient care, teaching, research, and public service activities currently at multiple UCSF campuses: Parnassus, Mt. Zion, Veterans Administration Medical Center (VAMC), San Francisco General (SFG), East Bay, and Benioff Children's Hospital at Mission Bay and in Oakland. The Department sponsors numerous invited speakers, research seminars, journal clubs, as well as a postdoctoral training program focused on mentorship, networking, and recognition. The UCSF Department of Ophthalmology consists of approximately 300 FTE's (including UCSF Health employees), including faculty, basic scientists, postdoctoral scholars, graduate students, residents, fellows, clinical, research, and administrative staff. Required Qualifications
- Bachelor's degree in related area (e.g., data science, epidemiology, health services research, biostatistics or statistics, public/population health, epidemiology, economics, biomedical informatics, or related field) and minimum three years of experience or equivalent experience / training.
- Three (3) or more years of relevant experience.
- Ability to work independently and manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail.
- Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator).
- Research skills at a level to evaluate alternate solutions and develop recommendations.
- Skills in project management.
- Strong listening, communication and presentation skills to communicate complex information in a clear and concise manner both verbally and in written form to both technical and non-technical audiences.
- Demonstrated ability to implement biostatistical and/or machine learning models in scalable format for broad applicability.
- Skills in descriptive analysis, modeling of data, and graphic interfaces.
- Experience with large datasets and database use, manipulation and analysis of complex high dimensional data.
- In-depth knowledge and experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.
- Thorough skills associated with statistical analysis and systems programming: proficient in multiple programming, database, and statistical package languages, including at least two of SQL, Python, R, Javascript, C++ and/or SAS or Stata .
- Strong background in applied machine learning, biostatistics and/or bioinformatics.
Preferred Qualifications
- Doctoral (PhD) degree in quantitative data science (e.g., data science, epidemiology, health services research, biostatistics or statistics, public/population health, epidemiology, economics, biomedical informatics, or related field).
- One (1) or more years of experience in project management or clinical research.
- Experience in writing, editing, and reviewing scientific manuscripts.
- Experience with deep learning approaches, e.g., neural networks.
- Experience with analysis of large health care-related datasets (eg, electronic medical record, insurance claims, and/or medical imaging 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 diversity.ucsf.edu
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. 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) Location San Francisco, CA Additional Shift Details M-F, variable |
University of California - San Francisco Campus and Health
Jul 11, 2025