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Research Scientist 2

Remote · USA Full-time New today

Job Description:

  • Do exploratory analysis on populations, trends, and clinical conditions to inform potential opportunities for trend savings and clinical outcomes improvement for our members.
  • Collaborate with clinicians and clinical informaticists to define various clinical concepts and extract clinical information from medical, pharmacy, and lab claims for analytics and modeling purposes
  • Leverage a wide range of analytics methods from descriptive analysis to epidemiological methods
  • Design outcomes studies and perform program evaluation using randomized controlled trials, propensity matching, difference-in-difference models, or other experimental/quasi-experimental methods.
  • Conduct literature reviews and intervention research to assess engagement rates and treatment effect sizes of interventions that are in the early stages of design and implementation.
  • Write code in SQL, SAS, and Python to assemble data, create analytic variables/features, design visuals and charts, and statistical models for research/science use-cases.
  • Translate analytic results into key takeaways with actionable insights and communicate to business partners
  • Understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas
  • Make decisions regarding research methods, occasionally in ambiguous situations with general guidance

Requirements:

  • Master's Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Engineering, and/or related fields
  • 2+ years of experience that includes:
  • Skills to create datasets and analytical variables from large and complex data environments by writing code in SQL, SAS, and Python.
  • Applying research methods to transform high volumes of complex data into actionable insights.
  • Experience with experimental and quasi-experimental methods such as randomized controlled trials, propensity matching, or difference-in-difference models.
  • Strong interest in healthcare and desire to make a positive impact on health outcomes.
  • Ability to work collaboratively within a multi-disciplinary team, to deliver quality analytical work, and communicate results and insights clearly to business partners.

Benefits:

  • medical
  • dental and vision benefits
  • 401(k) retirement savings plan
  • time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
  • short-term and long-term disability
  • life insurance and many other opportunities

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