Senior Research Data Architect - San Francisco, United States - University of California

Description

M_MED-CORE-DOCT

Full Time

75802BR

Job Summary

We seek a highly motivated and collaborative senior data architect to join the Division of Clinical Informatics and Digital Transformation. The Division is focused on understanding how technology systems and people work together to impact healthcare processes and outcomes.

The incumbent will work closely with UCSF-based and external researchers and stakeholders to design strategies for evaluation of informatics initiatives, develop measures and metrics to assess technology use within academic and community medical center settings, and create customized analytic datasets and perform statistical analyses.

Data used to support these activities will be primarily Epic EHR data, and the incumbent is expected to be (or become) an expert in the use of the Epic System's Clarity data warehouse, with a particular focus on the event logging data model (metadata).

The incumbent will provide data and analytic support for multiple research projects that involve novel uses of EHR metadata. Key tasks using this data will include the design and construction of datasets, design and implementation of ETL scripts to extract and link event log data with clinical information and the construction of measures and analytic datasets in support of research studies. Specifically, the applicant will use his or her quantitative skills, statistical methods and programming tools to explore and validate data to derive analytic data sets. These analytic data sets will then be used to collaboratively investigate complex problems pertaining to the use and impact of technology systems on processes in health care delivery and patient outcomes. The incumbent will also participate in the preparation of manuscripts and presentations to disseminate research.

The incumbent must have significant expertise in MS-SQL and proficiency in either Python or R. It is strongly preferred that the incumbent have experience with the Epic Systems Clarity data warehouse. Furthermore, the incumbent will be expected to regularly present findings, lead meetings and present to stakeholders with various levels of technical expertise. They must be adept at managing multiple projects and have well-developed listening and communication skills.

The incumbent is expected to become a central figure across various research teams, working with faculty investigators, clinicians, and informaticists from UCSF and across the country, as well as internal research project managers and other architects and analysts to perform high impact research. The successful applicant must thrive in a complex, team-based environment.

To see the salary range for this position (we recommend that you make a note of the job code and use that to look up):

Please note: The compensation ranges listed online for roles not covered by a bargaining unit agreement are very wide, however a job offer will typically fall in the range of 80% - 120% of the established mid-point. An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.

For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.

To learn more about the benefits of working at UCSF, including total compensation, please visit:

Department Description

The Division of Clinical Informatics and Digital Transformation (DoC-IT) is a new division that serves as the academic home for applied clinical informatics researchers within the UCSF Department of Medicine. DoC-IT also serves as a coordinating entity with key internal and external digital stakeholders across all UCSF mission areas, schools, departments, and divisions. We conduct innovative clinical informatics research, serving as the academic home for a number of highly prolific and internationally known researchers and we train the next generation of experts in the field, hosting UCSF's Clinical Informatics Fellowship and partnering with other entities to develop new education and training programs. Lastly, we have the opportunity to work closely with practitioners within health systems to guide implementation of technology systems that aim to improve care for everyone.

The Division aims to be an international academic leader in how to bring technology and people systems together to optimize healthcare.

Required Qualifications

• Bachelor's degree in related area and five or more years of relevant experience and / or equivalent experience / training
• Ability to prepare complex data models unassisted
• Ability to understand and model complex knowledge-intensive processes such as clinical & organizational processes
• Proven modeling and information design skills
• Good negotiation and influencing skills
• Familiarity with highly complex logical data design and data mapping or data conversion.
• Familiarity with highly complex data quality and governance issues and requirements
• Advanced knowledge of data management systems, practices and standards
• Thorough knowledge of relevant rules and regulations
• Demonstrated ability to work with others from diverse backgrounds. Demonstrated effective communication and interpersonal skills. Demonstrated service orientation 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. Strong organizational skills
• Demonstrated advanced problem-solving skills. Able to learn effectively and meet deadlines
• Advanced analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems
• Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail
• Demonstrated experience with managing priorities and individual tasks across concurrent highly complex projects
• Advanced experience in MS-SQL and proficiency in either Python or R
• Able to present findings, lead meetings and present to stakehlders with various levels of technical expertise
• Must be adept at managing multiple projects and have well-developed listening and communication skills

Preferred Qualifications

• Experience in data integration and the specification of data services
• Experience with the Epic Systems Clarity Data warehouse

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

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

Campus

Job Code and Payroll Title

000599 DATA SYS ANL 4

Job Category

Clinical Systems / IT Professionals

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

Flexible (combination of onsite and remote work)

Shift

Days

Shift Length

8 Hours

Additional Shift Details

Monday-Friday 8:00am-5:00pm