IT EDW Operations
Full Time
77910BR
Job Summary
The programmer analyst role includes the interpretation of complex requirements from detailed specifications to identify the correct fields for data extraction, applying analytical techniques for validation and cleaning, and preparation of data for in-depth analysis. This involves selecting appropriate patient cohorts, applying sophisticated programming strategies to configure data to researchers’ specification, and confirming value meet researchers’ expectations. The focus is on effectively managing and interpreting large volumes of data to derive meaningful insights. The programmer analyst will play a pivotal role in supporting researchers and Principal Investigators by employing analytical tools such as python, SQL, SAS, R, or Stata to work with electronic medical records and claims data. The ultimate aim is to provide a robust analytical foundation that supports research projects.
Key responsibilities include the meticulous organization and curation of data sets; executing sophisticated statistical analyses; and producing detailed reports, charts, tables, and figures that clearly convey the findings. The role might involve working closely with PhD Statisticians to apply complex statistical analysis to support the interpretation of results.
The programmer analyst will work closely with the lead investigators to refine data analysis based on feedback and ensure that the results are presented in a form that is ready for publication and dissemination.
The final salary and offer components are subject to additional approvals based on UC policy.
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): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles)
Please note: 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: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
Department Description
The University of California, San Francisco (UCSF) Department of Information Technology Academic Research Services (ARS) is chartered to provide data services and infrastructure which support clinical researchers computing and analytic needs. The Clinical Data Research Consultants group’s services include the administration of Data Use Agreements for the reuse of CMS and Medicaid data, customized data extractions from UCSF health systems, a federated data steward program to support compliance and set best practice standards for analysts who access health system data outside of Central IT.
Required Qualifications
• Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training.
• Epic Clarity Certification
• Three + years of experience with data manipulation and data quality control
• Three + years of experience in statistical analysis and modeling
• Proficiency and programming experience in SAS, Python, R, or SQL
• Experience working with electronic medical/health services data (e.g, SEER/EPIC/claims data)
• Experience in a research environment
• Thorough knowledge of web, application and data security concepts and methods.
• Thorough knowledge of bioinformatics methods, applications programming, web development and data structures.
• Thorough knowledge of bioinformatics programming design, modification and implementation.
• Understanding of relational databases, web interfaces, and operating systems.
• Strong project management skills.
• Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization.
• Ability to communicate technical information in a clear and concise manner.
• Self motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills.
Preferred Qualifications
• Thorough knowledge of modern biology and applicable field of research.
• Ability to interface with management on a regular basis.
• Research skills at a level to evaluate alternate solutions and develop recommendations
• Advanced degree in quantitively discipline and/or equivalent experience/training
• Experience working with large (>50Gb) datasets
License/Certification
• Epic Clarity Certification
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 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
Campus
Job Code and Payroll Title
009401 BIOINFORMATICS PROGR 3
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), Mission Center Building (SF), San Francisco, CA
Shift
Days
Shift Length
8 Hours
Additional Shift Details
Mon-Fri; 8-5
San Francisco CA United States