Job description

Involves the development and implementation of the organization's information systems and tools that are applied to clinical information. Works closely with clinicians across all hospital / healthcare departments to optimize effective use of systems. Coordinates analytical support for health management, including profiling, health economics, and business analytics / performance metrics. Defines systems and applications to support various functions. May provide customer service, troubleshooting and maintenance.

The Data Scientist will analyze large data sets, and develop and validate predictive models using statistical techniques and machine learning, with a goal of deploying these to transform hospital operations and improve healthcare delivery. They will be part of a large, multidisciplinary team building a Patient Capacity Management Center (PCMC) for UCSF Health. The PCMC will include a bed management system, throughput and capacity management tools, transfer center redesign, and tools focused on improving real-time connectivity and communication with affiliates, all leveraging data science and machine learning to help the health system operate more efficiently and effectively. Many of the tools will be built in collaboration with industry partners. The Data Scientist will frequently engage in understanding complex operational problems with an organization-wide scope, and develop or validate analytic approaches to address those problems.

Competitive applicants for this position are data scientists or quantitative analysts who have experience in developing and analyzing predictive models deployed within complex operational workflows. Candidates are ideally fluent in programming languages such as Python, R , or SQL, or other tools used for data manipulation and visualization and have a background in machine learning. Competitive candidates should also be excellent communicators with an ability to explain their work to both technical and non-technical audiences. Prior relevant work with clinical data, and/or the Epic electronic health record, is favorable but not required.

Department Description

The Advanced Analytics & Innovation (A2I) team is part of the larger UCSF Health Informatics team and innovates at the interface of healthcare operations and technology, transforming data into actionable insights for UCSF Health leadership, healthcare providers, and operational leaders. The team’s expertise spans data science, machine learning, business, nursing informatics, and medical informatics.

UCSF Health Informatics provides clinical and informatics leadership to achieve the strategic priorities of UCSF Health, as enabled by technology. Health Informatics 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 and a combination of 6 years of education and work experience in predictive modelling, machine learning, and or a related quantitative field. (Computer Science, Physics, Mathematics, Statistics, Bioinformatics, etc.) or equivalent experience / training
  • 3-5 years of experience in positions of increasing responsibility, working with large datasets and conducting statistical and quantitative modeling, melding analytics with strong programming, data mining, clustering and segmentation
  • Prior experience with healthcare data, in particular Epic-derived healthcare data.
  • Broadly encompassing and highly in-depth knowledge of machine learning, and deployment of predictive analytics in operational environments. Knowledge of controlled terminology, clinical workflows, user interface optimization, clinical decision support, rules development, data integration and mining, clinical ontologies and adoption of technology.
  • Strong data and statistical programming skills. e.g. Python, R, SQL, or other tools used for data manipulation and visualization, and experience working with data warehouses.
  • Advanced organizational and project management skills, with the ability to lead a team, prioritize tasks, and see projects through from inception to completion on schedule.
  • Advanced interpersonal communications skills, to convey highly technical information and instructions to all levels of clinical users in a clear and concise manner, to provide technical support, and to develop and deliver training materials as needed.
  • Ability to apply advanced problem-resolution skills to highly complex issues, quickly diagnose problems, and develop, test, and implement appropriate and effective solutions in a timely manner.
  • Advanced analytical skills and expertise in documentation and reporting, with the ability to apply metrics, design and run queries, collect and analyze performance data, and produce sophisticated reports and analyses for management use.
  • Advanced ability to serve as a technical leader and information resource, and to work collaboratively with senior staff and management across departments, providing advice, counsel, and analysis on issues of policy, functionality, system efficiency, upgrades, business analytics, and industry advances and trends.
  • Strong interest in working with health care data and understanding the challenges that face complex health care delivery systems.

Preferred Qualifications

  • Epic Clarity certification
  • Completion of 1-2 years of undergraduate or graduate level coursework in Statistics
  • Master’s degree or doctorate in computer science or related area
  • Clinical domain knowledge is preferred but not required, and may be developed or expanded after hiring

About UCSF

At 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 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.

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.

Organization

Health

Job Code and Payroll Title

006049 CLIN INFORMATICS SPEC 4

Job Category

Clinical Systems / IT Professionals

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

Remote / Telecommute

Shift

Days

Shift Length

8 Hours

Additional Shift Details

Monday through Friday

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