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Role Overview
The Research Scientist 2 applies statistical, epidemiologic, and analytical methods to healthcare data to evaluate clinical program performance, understand drivers of outcomes, and support clinical and business decision-making.
This role will be part of the Quality & Cost Strategy Analytics team supporting the performance management and evaluation of clinical programs. The Research Scientist 2 will design and execute rigorous outcomes studies, conduct deep-dive analyses to diagnose program performance, and translate complex analytical findings into clear recommendations for clinical, operational, and business partners.
The role requires strong analytical thinking, attention to detail, and the ability to approach moderately complex analytical questions independently while seeking guidance on more complex or ambiguous methodological issues.
Humana’s Quality & Cost Strategy Analytics team is seeking a Research Scientist 2 (Remote) to support the evaluation and performance management of clinical programs.
At Humana, we are focused on transforming the healthcare experience by improving health outcomes, managing healthcare costs, and advancing operational excellence. The Quality & Cost Strategy Analytics team operates at the intersection of clinical strategy, analytics, and enterprise value , using rigorous research and advanced analytics to inform clinical priorities and improve outcomes for our members.
Our team partners across the organization to identify opportunities, evaluate and optimize clinical solutions, and generate actionable insights that support high-value care. We apply rigorous performance measurement and research methods to understand what is working, for whom, and why , and translate those insights into opportunities for continuous program improvement.
Responsibilities
As a Research Scientist 2, you will:
Design and execute outcomes studies to evaluate the clinical, utilization, and financial performance of clinical programs using observational and experimental methods.
Apply causal inference, epidemiologic, and statistical methods to estimate program impact and generate credible evidence for decision-making.
Conduct deep-dive analyses using medical and pharmacy claims, enrollment, and operational data to identify key performance drivers, diagnose performance gaps, and uncover opportunities for improvement.
Translate clinical and business questions into clearly defined analytical questions and hypotheses, partnering with senior scientists as needed on more complex study designs and methodologies.
Partner with clinical, operational, financial, and business stakeholders to translate analytical insights into recommendations that inform clinical strategy, program design, contracting, and performance improvement.
Develop high-quality analytical reports, presentations, and executive-level readouts for internal and external stakeholders.
Translate complex methodologies and findings into clear, actionable business insights, communicating both implications and analytical limitations to technical and non-technical audiences.
Independently determine appropriate analytical approaches and make sound methodological decisions in complex or ambiguous situations.
Manage multiple analytical priorities while maintaining high standards for methodological rigor, accuracy, and reproducibility.
Required Qualifications
Master’s degree or PhD in Epidemiology, Biostatistics, Economics, Statistics, Health Services Research, Clinical Informatics, or a related quantitative discipline.
2+ years of experience applying statistical, epidemiologic, econometric, or related quantitative methods to large, complex datasets.
Strong foundation in causal inference and study design, including observational studies, comparative effectiveness research, and randomized controlled trials.
Experience manipulating and analyzing data using Python, PySpark, R, SAS, or comparable analytical tools.
Strong analytical…