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Associate Biostatistics Research Analyst

Application ends: August 22, 2026
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Job Overview

  • Date Posted
    May 23, 2026
  • Location
    Remote
  • Expiration date
    August 22, 2026

Job Description

JOB  DETAILS

Requirements
  • Familiarity working with data in an analytical or research capacity; specific tools are flexible
  • Demonstrated critical thinking and an analytical mindset with the ability to understand what is happening within complex datasets
  • Exposure to or interest in using AI tools to enhance data querying, analysis, and problem solving
  • Adaptability and willingness to evolve processes as tools, technologies, and business needs change
  • Undergraduate bachelor’s degree in any discipline with 2 years working experience is required, OR Master’s Degree or Ph.D. with no experience is acceptable
  • Competent to convert research protocol to programming specification logically and meaningfully
  • Attention to detail, exceptional documentation abilities, and organizational skills
  • Ability to work independently under general supervision and collaboratively as part of a team in a fast paced environment
  • Excellent oral and written communication skills
  • Ability to participate in project design and interpretation with Research Staff
  • Must be able to communicate effectively with both technical and non-technical co-workers
Responsibilities
  • Analyzing and processing data, building and maintaining models and report templates, and developing dynamic, data-driven solutions
  • Supporting Consultants on using business intelligence data for predictive analytics and facilitating implementation of new tools
  • Identifying appropriate performance measures to be produced including lifts, efficiencies, confidence intervals, and other statistical metrics
  • Under supervision, providing business clients with detailed, actionable reports documenting the findings from, data processing, and data analysis
Desired Qualifications
  • Familiarity with AI tooling and concepts
  • Experience with cloud based data platforms (e.g., Google BigQuery, Snowflake, AWS)
  • Experience or education using data visualization tools (e.g., Tableau, Looker, Power BI)
  • Familiarity with clinical terminology (physical and/or behavioral health)
  • Familiarity with Medicaid, Medicare, or other government healthcare programs
  • Exposure to claims, authorization data, case management, or managed care operations

 

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