Clinical Research Data Analyst I – Chronic Liver Diseases (Part Time)

PAVIR

Palo Alto, CAFull-timePosted May 1, 2026

Behavioral Health Market Context

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Benefits

PAVIR is delighted to offer a robust and comprehensive employee benefits package with exceptional offerings such as sick pay policies, a 401(k) with a fully vested 6% company match and 3% profit share, commuter benefits, wellness program, employee assistance program, and professional development training

Qualifications

  • Required: Bachelor's degree or equivalent experience is required;
  • 0-1 years or more of related data analysis experience
  • Prior experience working with other non-VA large datasets
  • Prior experience designing and performing statistical analyses for health outcomes and/or health services research
  • Prior experience with development of abstracts, posters, manuscripts that have been published in peer- review journals
  • Prior experience and proficiency with analysis of VA data (e.g. Corporate Data Warehouse)
  • At least graduate level methodology and/or statistics coursework
  • Proficiency in one or more statistical packages: SQL, SAS, R, STATA, and SPSS
  • Ability to work both independently and collaboratively within a research team environment
  • Ability to communicate data needs, questions, and potential limitations to team members clearly
  • Proficiency with Microsoft Office and basic database applications
  • Ability to assist with preparing documentation and outlining work processes in writing
  • Strong written communication skills with the ability to assist in scientific writing and editing
  • 10 more items(s)

Responsibilities

  • The Clinical Research Data Analyst will support a busy and high-performing research program by assisting with clinical data management and basic data analysis tasks while working both independently and as part of a team
  • The Data Analyst I will work closely with the Principal Investigator (PI), Dr. Robert Wong, and other research team members to help prepare datasets, conduct routine analyses, and contribute to research activities under guidance
  • This role will assist with projects focused on understanding the epidemiology and outcomes of patients with chronic liver diseases, including research examining healthcare disparities
  • The position provides opportunities to develop data analysis skills and contribute to ongoing research initiatives within the program
  • Assist with working with large datasets, including the VA Corporate Data Warehouse
  • Support the development and updating of study analysis plans for research projects under guidance from the PI and senior team members
  • Assist with data cohort creation, data curation, acquisition, and data cleaning
  • Conduct routine statistical analyses of datasets (including VA electronic health records) for health outcomes and health services research questions under supervision
  • Help identify and resolve database and analysis issues with guidance from senior staff
  • Apply appropriate statistical methods to address clinical and research questions with direction from the PI or senior analysts
  • Assist with implementing statistical methods (e.g., propensity score matching, inverse probability weighting) for analysis of observational data when appropriate and under supervision
  • Contribute to ongoing research projects aligned with the focus of the research team
  • Assist with activities supporting research grant development as needed
  • Participate in regular check-in meetings with the PI and/or research team via virtual format or, when necessary, in person
  • Assist with creating tables and figures for scientific abstracts, posters, presentations, and manuscripts
  • Assist with drafting and/or reviewing abstracts, posters, presentations, and manuscripts
  • Contribute to presentations at scientific meetings and conferences as appropriate and approved by the PI
  • Assist with preparing research findings for manuscript submission and publication
  • Perform other research-related duties as assigned
  • 16 more items(s)


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