Research Scientist, Clinical Innovation & Trend Analytics

Humana

1d•$78,400 - $107,800•Remote

About The Position

Humana’s Clinical Innovation and Trend Analytics team is seeking a Research Scientist 2 to help identify opportunities and develop solutions that improve clinical outcomes and lower costs for Medicare Advantage beneficiaries. The team uses evidence-based approaches that combine data analytics, clinical expertise, strategic thinking, and rigorous study designs. The role works closely with strategy partners and clinicians to inform clinical strategies and initiatives. The Research Scientist applies statistical and epidemiologic principles to identify trends, assess cause-and-effect relationships, and estimate potential opportunities using large volumes of complex data. Work is varied and involves interpreting data and exercising independent judgment. The role is remote, with occasional travel to Humana offices for training or meetings. Home-based employees must have internet service meeting the stated minimum speed requirements and a dedicated workspace that protects member PHI/HIPAA information.

Requirements

Master’s degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Engineering, or a related field.
At least 2 years of experience creating datasets and analytical variables from large, complex data environments using SQL, SAS, and Python.
At least 2 years of experience applying research methods to transform high volumes of complex data into actionable insights.
At least 2 years of experience with experimental and quasi-experimental methods, such as randomized controlled trials, propensity matching, or difference-in-difference models.
At least 2 years of experience collaborating within a multidisciplinary team, delivering quality analytical work, and clearly communicating results and insights to business partners.

Nice To Haves

Healthcare or managed care work experience.
Experience working with medical, pharmacy, and laboratory claims.
Familiarity with clinical concepts related to a broad range of conditions and disease states.
Familiarity with hypothesis testing, statistical methods, and/or comparative effectiveness study design and modeling techniques.
Experience using PySpark, Databricks, Microsoft Azure, or Power BI.
Strong interest in healthcare and a desire to positively impact health outcomes.

Responsibilities

Conduct exploratory analyses of populations, trends, and clinical conditions to identify potential opportunities for trend savings and improved clinical outcomes.
Collaborate with clinicians and clinical informaticists to define clinical concepts and extract information from medical, pharmacy, and laboratory claims for analytics and modeling.
Apply analytical methods ranging from descriptive analysis to epidemiological methods.
Design outcomes studies and evaluate programs using randomized controlled trials, propensity matching, difference-in-difference models, or other experimental and quasi-experimental methods.
Conduct literature reviews and intervention research to assess engagement rates and treatment effect sizes for interventions in early design or implementation stages.
Write SQL, SAS, and Python code to assemble data, create analytic variables and features, develop visualizations and charts, and build statistical models for research use cases.
Translate analytical results into key takeaways and actionable insights and communicate them to business partners.
Understand department, segment, and organizational strategies and operating objectives, including connections to related areas.
Make decisions about research methods, including occasionally in ambiguous situations with general guidance.