005933 BIOINFORMATICS PROGR 4
Apply NowCompany: University of California San Francisco
Location: San Francisco, CA 94112
Description:
Job Summary
This is a Contract position with 7/1/2025 End Date.
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 research lab consisting of ML/AI 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. Additonally the candidate should use skills as an advanced, specialized bioinformatics programming professional with an in-depth understanding of computational algorithms and systems to identify and resolve a wide range of highly complex issues / software bugs where analysis of situations or data requires an in-depth evaluation of variable factors. May lead or mentor a team of bioinformatics programming professionals.
Core ResponsibilitiesApply statistical techniques designed for assessment of high dimensional electronic health record data Implement computational and statistical approaches for performing time series analyses of electronic health record data Develop and train large language models to identify social needs in large unstructured data sets Develop techniques to combine structured and unstructured electronic health record data into complex prediction models that utilize both machine learning and large language models Teach bioinformatics techniques to other laboratory members and students Contribute to research study design including leading design of bioinformatics methods Write manuscripts, contribute to grant writing, and present research findings at national meetings
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
Required Qualifications
Preferred Qualifications
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.
Department Description
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.
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.
This is a Contract position with 7/1/2025 End Date.
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 research lab consisting of ML/AI 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. Additonally the candidate should use skills as an advanced, specialized bioinformatics programming professional with an in-depth understanding of computational algorithms and systems to identify and resolve a wide range of highly complex issues / software bugs where analysis of situations or data requires an in-depth evaluation of variable factors. May lead or mentor a team of bioinformatics programming professionals.
Core Responsibilities
- Example: develop a gradient boosted tree model to predict risk of unplanned readmission in safety net health systems
- Example: calculate the effect of technology based intervention on clinical heart failure outcomes
- Example: develop methods for identifying and summaring social determinants of health using large electronic health record datasets
- Example: work with cardiology fellow to team them prompt engineering
- Example: lead bioinformatics methods discussion regarding best practices for analysis on multi-site cluster randomized technology based trials
- Example: write the first draft of methods, results and discussion for a manuscript examining the impact of a Baysian regression tree analysis incorporating LLM priors
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
Required Qualifications
- Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training
- Five or more years of relevant experience
- In-depth knowledge of bioinformatics methods, applications programming, web development and data structures
- In-depth knowledge of bioinformatics programming design, modification and implementation
- In-depth knowledge of modern biology and applicable field of research
- Advanced interpersonal skills in order to work with both technical and non-technical personnel at all levels in the organization, including senior project leadership
- Ability to communicate technical information in a clear and concise manner
- Advanced ability to interface with management on a regular basis
Preferred Qualifications
- Master's degree or PhD in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization
- Ability to lead a team, meet deadlines and demonstrate advanced problem-solving skills
- In-depth knowledge of web, application and data security concepts and methods
- Advanced understanding of relational databases, web interfaces and operating systems.
- Advanced project management skills
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.
Department Description
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.
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.