Data Scientist

Zuckerberg San Francisco General Hospital and the Division of Cardiology is at the forefront of applying artificial intelligence and machine learning (AI/ML) to help improve outcomes in vulnerable and underserved populations. We currently have a successful and growing ML predictive analytics team consisting of ML researchers, clinicians, informaticists, and biostatisticians. We seek a data scientist to join our team to develop AI/ML-based algorithms to support clinical decision making, hospital performance improvement efforts, and more. This position requires experience in computer science, (bio)statistics, or another relevant field. A proven track record of productivity within academia or industry in publishing and/or developing and applying new algorithms is necessary for this role. The candidate should have experience developing in a Linux environment, using git-based workflows, writing in Python/R, using high-performance computing, and working collaboratively with a multidisclinary team. Ideally, the candidate also has experience cleaning and analyzing Electronic Health Record (EHR) data, creating datawarehouses for data analytics, and experience/interest in developing new ML algorithms including large language models.

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 $148,700 - $360,900 (Annual Rate).

• Bachelor’s degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience
• Ten or more years of relevant experience
• Expert knowledge of data science and/or clinical informatics.
• Experience with designing, and implementing, training, and deploying AI/ML-based algorithms for biomedical applications
• Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences
• Expert skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles
• Self-motivated and works independently and as part of a team
• Demonstrated ability to effectively communicate with executive-level management on a regular basis as well as funding agency program managers / directors
• Expert experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base
• Expert ability to independently plan, guide and execute innovative scientific research programs and development projects to completion by selecting approaches, and interpreting and evaluating results with researchers, staff and colleagues and supervisors
• Proven ability to establish realistic research priorities and lead, motivate and guide colleagues and staff for a sustained effort, * Master’s degree or PhD in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization preferred
• Demonstrated ability to develop and lead one or multi-institutional national scale proposals and acquire funding
• Expert ability to successfully work with multiple concurrent projects. Excellent research and technology project management skills
• In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, leads development of solutions to meet such needs

This position is within the Division of Cardiology at San Francisco General Hospital and the Kaizen Promotion Office at Zuckerberg San Francisco General Hospital. The role will primarily support the application of machine learning and artificial intelligence within the predictive analytics team within the Kaizen Promotion Office. The predictive analytics team consists of an executive leader in performance excellence, multiple clinicians, a member of the clinical IT team, a data scientist, several student learners and a faculty member of the UCSF Department of Epidemiology and Biostatistics. The team has extensive experience with machine learning, artificial intelligence, informatics, biostatistics, performance improvement, implementation science and academic medicine. The position will be supervised primarily by the biostatistician and the clinicians on the team., 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., 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. Further information about the University of California, San Francisco, is available at diversity.ucsf.edu. UCSF seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve.