University of California - San Francisco Campus and Health
Senior Software Engineer
University of California - San Francisco Campus and Health, San Francisco, California, United States, 94199
Senior Software Engineer
Health InformaticsFull Time80947BRJob SummaryThe senior software engineer will lead the development, implementation, and maintenance of computing and data infrastructure to support the deployment and monitoring of Machine Learning (ML) and generative Artificial Intelligence (AI) tools at UCSF Health. They will have principal responsibility for 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. HIPAC currently supports extraction and standardization of data from the EHR, leveraging both SQL databases and APIs, but requires more sophisticated functionality, including non-traditional data, event-driven integration with the EHR, and enhanced real-time monitoring. The senior software engineer will take a lead role in collaborating with data scientists and engineers, solution architects, health informatics experts, and researchers to continually refine and advance this infrastructure, in addition to other complex AI/ML-based software applications. Additionally, the senior software engineer will serve as a technical mentor, guiding and supporting the professional development of other software and machine learning engineers on the team.Required QualificationsBachelor's degree in a related area and/or equivalent experience/training.5 years of experience in positions of increasing responsibility, designing, implementing, and maintaining complex software applications.Demonstrated advanced knowledge of full software development lifecycle.Advanced experience with Python; ability to write clean, efficient, and production-level Python code.Advanced experience with SQL (e.g., SQLServer, PostgreSQL).Advanced experience working with DevOps and CI/CD pipeline toolsets such as Docker, GitHub, etc.Experience implementing and maintaining Artificial Intelligence (AI)/Machine Learning (ML) lifecycle workflows, including development, deployment, and monitoring AI/ML models into production.Demonstrated experience in developing complex, automated testing.Advanced experience with cloud-based architecture in platforms such as AWS, GCP, Azure.Proven track record of mentoring junior team members, conducting thorough code reviews, and fostering professional growth within the team.Demonstrated effective communication and interpersonal skills.Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.Demonstrated broad problem-solving skills.Excellent project leadership and management skills.Preferred QualificationsMaster's degree or PhD in Computer Science, Computer Engineering, or related area and/or equivalent experience/training.Cloud development certifications.Experience with large language models and other generative AI technologies, especially supporting the deployment of GenAI-based tools in a production environment.Experience with data analysis and machine learning tools such as Jupyter, Pandas, scikit-learn, Numpy/Scipy, PyTorch, etc.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.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.OrganizationHealthJob Code and Payroll Title000652 APPLICATIONS PROGR 4Job CategoryClinical Systems / IT ProfessionalsBargaining Unit99 - Policy-Covered (No Bargaining Unit)Employee ClassCareerPercentage100%LocationFlexible (combination of onsite and remote work), Mission Center Building (SF), San Francisco, CAShiftDaysShift Length8 HoursAdditional Shift DetailsMonday - Friday
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Health InformaticsFull Time80947BRJob SummaryThe senior software engineer will lead the development, implementation, and maintenance of computing and data infrastructure to support the deployment and monitoring of Machine Learning (ML) and generative Artificial Intelligence (AI) tools at UCSF Health. They will have principal responsibility for 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. HIPAC currently supports extraction and standardization of data from the EHR, leveraging both SQL databases and APIs, but requires more sophisticated functionality, including non-traditional data, event-driven integration with the EHR, and enhanced real-time monitoring. The senior software engineer will take a lead role in collaborating with data scientists and engineers, solution architects, health informatics experts, and researchers to continually refine and advance this infrastructure, in addition to other complex AI/ML-based software applications. Additionally, the senior software engineer will serve as a technical mentor, guiding and supporting the professional development of other software and machine learning engineers on the team.Required QualificationsBachelor's degree in a related area and/or equivalent experience/training.5 years of experience in positions of increasing responsibility, designing, implementing, and maintaining complex software applications.Demonstrated advanced knowledge of full software development lifecycle.Advanced experience with Python; ability to write clean, efficient, and production-level Python code.Advanced experience with SQL (e.g., SQLServer, PostgreSQL).Advanced experience working with DevOps and CI/CD pipeline toolsets such as Docker, GitHub, etc.Experience implementing and maintaining Artificial Intelligence (AI)/Machine Learning (ML) lifecycle workflows, including development, deployment, and monitoring AI/ML models into production.Demonstrated experience in developing complex, automated testing.Advanced experience with cloud-based architecture in platforms such as AWS, GCP, Azure.Proven track record of mentoring junior team members, conducting thorough code reviews, and fostering professional growth within the team.Demonstrated effective communication and interpersonal skills.Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.Demonstrated broad problem-solving skills.Excellent project leadership and management skills.Preferred QualificationsMaster's degree or PhD in Computer Science, Computer Engineering, or related area and/or equivalent experience/training.Cloud development certifications.Experience with large language models and other generative AI technologies, especially supporting the deployment of GenAI-based tools in a production environment.Experience with data analysis and machine learning tools such as Jupyter, Pandas, scikit-learn, Numpy/Scipy, PyTorch, etc.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.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.OrganizationHealthJob Code and Payroll Title000652 APPLICATIONS PROGR 4Job CategoryClinical Systems / IT ProfessionalsBargaining Unit99 - Policy-Covered (No Bargaining Unit)Employee ClassCareerPercentage100%LocationFlexible (combination of onsite and remote work), Mission Center Building (SF), San Francisco, CAShiftDaysShift Length8 HoursAdditional Shift DetailsMonday - Friday
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