Health Informatics
Full Time
80944BR
Job Summary
The machine learning/data engineer will lead the development, implementation, and maintenance of data pipelines and infrastructure to support the deployment and continuous monitoring of Machine Learning (ML) and generative Artificial Intelligence (AI) tools at UCSF Health. This role primarily involves managing and optimizing the data and monitoring pipelines of the Health IT Platform for Advanced Computing (HIPAC), a cloud infrastructure that supports the development and deployment of AI/ML tools, including large language models (LLMs) in the EHR. Specifically, the ML/data engineer will work on implementing new data integrations, enhancing HIPAC’s ETL functionalities, productionizing AI/ML tools developed by UCSF data scientists/researchers, and designing and implementing metrics to continuously monitor AI/ML tools deployed at UCSF Health.
Competitive applicants for this position are software, machine learning, or data engineers with 2+ years of experience in implementing and maintaining AI/ML pipelines. Proficiency in MLOps, Python, SQL, and CI/CD is required. This role also requires a deep understanding of Epic data models (Clarity and Caboodle). Successful candidates either have or are able to obtain Epic Clinical/Clarity data model certification shortly after onboarding.
Department Description
The Health Artificial Intelligence (AI) team is part of the larger UCSF Health IT team and supports the development, implementation, and monitoring of artificial intelligence, machine learning, and other analytical tools, improving patient care, clinician experience, and health system operations. The team’s expertise spans data science, machine learning, software/data engineering, business, nursing informatics, and medical informatics.
UCSF Health IT provides clinical and informatics leadership to achieve the strategic priorities of UCSF Health, as enabled by technology. Health IT is a multidisciplinary team of clinicians and technology professionals that partners with clinical, business, and technology leaders throughout the organization, using information technology to improve the quality, safety, and value of care, and the patient and provider experience, for UCSF and its partner organizations.
Required Qualifications
- Bachelor's degree in a related area and / or equivalent experience/training.
- 2 years of experience designing, implementing, and maintaining complex Artificial Intelligence (AI)/ Machine Learning (ML) applications.
- Advanced experience with Python; ability to write clean, efficient, and production-level Python code.
- Advanced experience with SQL (e.g., SQLServer, PostgreSQL).
- Demonstrated experience working with MLOps, DevOps, and CI/CD pipeline toolsets.
- Experience with data analysis and machine learning tools such as Jupyter, Pandas, scikit-learn, Numpy/Scipy, PyTorch, etc.
- Experience in developing complex, automated testing.
- Experience with cloud-based architecture in platforms such as AWS, GCP, Azure.
- Demonstrated experience deploying, monitoring, and maintaining AI/ML models and pipelines.
- Advanced experience in database systems, data warehousing solutions, and understanding of ETL pipelines.
- Advanced experience in designing, building, or maintaining data infrastructure for efficient ML model training and inference.
- Demonstrated advanced knowledge of full software development lifecycle.
- Demonstrated effective communication and interpersonal skills.
- Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.
- Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.
- Demonstrated broad problem-solving skills.
- Demonstrated ability to interface with management on a regular basis.
- Excellent project leadership and management skills.
Preferred Qualifications- Master’s degree or PhD in Computer Science, Computer Engineering, or related area and/or equivalent experience/training.
- Epic Clarity or Clinical Data Model.
- Experience with large language models and other generative AI technologies, especially supporting the deployment of GenAI-based tools in a production environment.
- Familiar with data visualization tools (e.g., Tableau).
- Experience with Epic data structures.
About UCSFAt UCSF Health, our mission of innovative patient care, advanced technology and pioneering research is redefining what’s possible for the patients we serve – a promise we share with the professionals who make up our team.
Consistently ranked among the top 10 hospitals nationwide by U.S. News & World Report – UCSF Health is committed to providing the most rewarding work experience while delivering the best care available anywhere. In an environment that allows for continuous learning and opportunities for professional growth, UCSF Health offers the ideal atmosphere in which to best use your skills and talents.
Pride ValuesUCSF 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.
Equal Employment OpportunityThe 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.
OrganizationHealth
Job Code and Payroll Title000652 APPLICATIONS PROGR 4
Job CategoryClinical Systems / IT Professionals
Bargaining Unit99 - Policy-Covered (No Bargaining Unit)
Employee ClassCareer
Percentage100%
LocationFlexible (combination of onsite and remote work), Mission Center Building (SF), San Francisco, CA
ShiftDays
Shift Length8 Hours
Additional Shift DetailsMonday - Friday
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