MED-VAMC-RHEU

Full Time

71119BR

Job Summary

We are looking for a Research Statistical Analyst II with strong quantitative skills and experience working with large data sets and programming. Our research team conducts observational studies using electronic health record data and national patient registry data. The Research Statistical Analyst II will closely work with the Principal Investigator and other project staff. Excellent interpersonal and communication skills are required to efficiently and effectively work with statisticians, co-investigators, research staff, postdoctoral fellows, and graduate students.

The Research Statistical Analyst II will be asked to ensure data quality (assessing data completeness, cleaning, verification, reliability, and validity of study variables, and identifying and addressing data gaps and missing data), prepare data for analysis, conduct statistical analysis in support of research proposals and protocols and independently plan limited studies or assists higher level Analysts in large, complex studies This Statistical Analyst will assist in preparing the dissemination of findings (e.g. slide presentation, tables, figures, PubMed search), and in submitting IRB approvals and modifications.

This is a hybrid position with some on-site work required.

Department Description

The Rheumatology Quality and Informatics Lab (QUIL) at UCSF is led by Drs. Gabriela Schmajuk and Jinoos Yazdany focus on clinical informatics and health services research in rheumatic disease from a multidisciplinary perspective. Research areas include the evaluation of performance on key rheumatology clinical quality measures, comparative effectiveness and safety of medications used to treat rheumatic conditions, and the use of health information technology that enables health care providers to better manage patient care through secure use and sharing of health information. We were recently named a Data Analytic Center for rheumatology’s national patient registry (called “RISE”) and are building the team that will manage and analyze this new data source (>10 million patient encounters, and growing).

Required Qualifications

• BA/BS degree with coursework in quantitative analysis (i.e. biostatistics, mathematics, computer science, statistics)and 2+ years  in a related field; or an equivalent combination of education and experience/training 
• Working skills in statistical analysis and experience with statistical software packages (R, STATA, or equivalent)
• Strong writing/communication skills
• Knowledge of various study designs and implementation strategy
• Knowledge of database management
•  Ability to multi-task, problem solve, and apply creative solutions to new and unexpected situations

Preferred Qualifications

• Master’s degree in a related area
• Graduate degree in statistics, epidemiology, or related field
• 2 – 3 years of experience in real-world data or EHR data analysis

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.

Job Code and Payroll Title

006256 RSCH DATA ANL 2

Job Category

Research and Scientific

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Location

Flexible (combination of onsite and remote work), San Francisco VA Medical Center