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Research Data Analyst 3

Institution: University of California, San Francisco (UCSF) Supervisor: Rebecca Graff, ScD
Posting Date: May 18, 2021
Closing Date: Until the position is filled; initial review June 4, 2021 Start Date: August 1, 2021

Job Description

Dr. Rebecca Graff at UCSF has an opening for an enthusiastic Research Data Analyst interested in exploring the inverse relationship between cancer and Alzheimer’s disease and related dementias (AD/ADRD). Core work will involve data management, statistical analysis, and collaborative manuscript preparation. Secondary responsibilities will include organization for manuscript submission, preparation of IRB protocols, organization of progress reports, and engagement in grant writing processes.

The hired individual will primarily support projects using data from the Kaiser Permanente Northern California membership and Multiethnic Cohort, including the exploration of:

  • Patterns of the inverse comorbidity between cancer and AD/ADRD, overall and by race/ethnicity, education, and age;

  • Genome-wide, gene expression, and variant level genetic factors that may contribute to the inverse comorbidity;

  • Lifestyle factors that may contribute to the inverse comorbidity; and

  • Physiologic or treatment responses to cancer that reduce the risk of AD/ADRD. The hired individual may also have the opportunity to support other facets of Dr. Graff’s research, which include the genetics of prostate-specific antigen, the metabolomic basis of lethal prostate cancer, the role of lifestyle in prostate cancer survivorship, and the role of lifestyle in kidney cancer risk and survivorship.

    Dr. Graff makes a point to encourage work-life balance, and lab members also enjoy the vibrant UCSF research community and beautiful San Francisco Bay Area.

    Essential Functions

  • Gathers, analyzes, prepares, and summarizes the collection of information and data; recommends statistical approaches, trends, sources and uses

  • Prepares data for presentation

  • Identifies multivariate strategies

  • Prepares reports of studies for internal validation and cross validation studies

  • Analyzes the interrelationships of data and defines logical aspects of data sets

  • Develops systems for organizing data to analyze, identify, and report trends.

  • Manages database of research data for projects

    Requirements

    Applicants must have a Master’s degree in epidemiology, biostatistics, statistics, computer science, data science, or a related quantitative field, as well as strong writing skills and expertise in statistical programming (ideally in R). Experience in Bash scripting (Unix) is strongly preferred.

    Application Process

    Please submit your résumé via BrassRing (link coming soon). Applications will be accepted until the position is filled.