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.
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 $125,500 - $188,300 (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 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)
• Exp
Location: San Francisco, CA
Posted: Oct. 27, 2024, 9:49 p.m.
Apply Now Company Website