Our team is looking for a data analyst experienced with management and analysis of clustered data, who will perform statistical and data management efforts for an upcoming National Institute of Drug Abuse (NIH- NIDA) sponsored randomized controlled trial of a behavioral intervention to improve curative treatment for hepatitis C virus (HCV) infection. This will include developing, managing, and troubleshooting databases for quantitative survey data, electronic health record (EHR) data, and serological testing data.
The data analyst will independently generate and maintain data quality reports and apply theory to carry out analyses related to reports, presentations, and manuscripts with investigators and collaborators. They will ensure secure data storage of verified and documented data, audit trails for data changes, create working back-up systems, and uphold quality assurance for all data collection and analytical purposes.
This person will also ensure that regular reports are produced including recruitment; retention and follow-up are available for investigator and staff meetings, as well as yearly NIH/NIDA progress reports. The analyst may work on other studies, based on project needs and the analyst’s workload.
The research team is highly collaborative and engages with a diverse set of partners to carry out the research. Organization skills and a collaborative work style is expected. Comfort working in an environment in which drug use and homelessness is discussed frequently is essential.
- Bachelor's degree in statistics/epidemiology/public health/related field and minimum 3 years experience with advanced-level of statistical analysis in statistical analysis software and/or equivalent combination of education and experience/training.
- Thorough knowledge of research function.
- Demonstrated advanced level of statistical analysis and systems programming in Stata or R
- Skills to communicate complex information in a clear and concise manner both verbally and in writing.
- Research skills at a level to evaluate alternate solutions and develop recommendations.
- Extensive experience developing databases for social science data
- Experience managing clinical trial study data
- Work or lived experience with historically marginalized populations
- Ability to effectively manage time and see assigned parts of the project through to completion on deadline
- Advanced knowledge of Microsoft applications (Outlook, Word, PowerPoint, Excel)
- Ability to use discretion and maintain confidentiality
- Master’s degree in related area and / or equivalent experience / training
- Experience cleaning, managing and analyzing longitudinal data and clustered data structures
- Experience with creating surveys and databases in QUALTRICS and/or REDCAP software
- Knowledge of public health or social science topics
- Training in diversity, equity, and inclusion topics
UCSF Pride Values
University of California, San Francisco (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
About the Department of Epidemiology & Biostatistics
The Department of Epidemiology and Biostatistics (DEB), housed within the UCSF School of Medicine (SOM), has a vision to advance discoveries and insights into the distribution, determinants and outcomes of disease that will drive improvements in population health worldwide.
The DEB has three missions: 1) education, 2) science, and 3) research. Its educational mission is to train students in epidemiologic and biostatistical methods for studying disease etiology and prevention, evaluating tests and treatments, and using evidence-based approaches in clinical practice and population health. The scientific mission of the DEB is to perform outstanding basic, clinical and population health research along a spectrum from molecules to society and to develop tools for the translation of knowledge that will improve clinical practice and population health and ensure optimal use of resources. The clinical mission of the Department is to support the practice of public health and preventive medicine in local, state, national and international health agencies
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