Research Scientist, Clinical Innovation & Trend Analytics

Responsibilities

As a Research Scientist 2, you will:

• Conduct 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.

Required Qualifications

• 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.
• Experience working collaboratively within a multi-disciplinary team, to deliver quality analytical work, and communicate results and insights clearly to business partners.

Preferred Qualifications

• Healthcare or managed care working experience.
• Experience working with medical, pharmacy, and lab claims.
• Demonstrated familiarity with clinical concepts related to a broad range of clinical conditions and disease states.
• Demonstrated familiarity with hypothesis testing, statistical methods, and/or comparative effectiveness study design and modeling techniques.
• Experience using Pyspark, DataBricks, Microsoft Azure, PowerBI.
• Strong interest in healthcare and desire to make a positive impact on health outcomes.

This role is not eligible for work visa sponsorship.

Scheduled Weekly Hours

Pay Range

Description of Benefits

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Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.