Senior Research Scientist

Humana

. Design and execute rigorous outcomes studies evaluating clinical, utilization, and financial performance of clinical programs .

Posted 11/5/2026full-timeRemote • United StatesSenior💰 $104,000 - $143,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in applying statistical, epidemiologic, and causal inference methods to analyze complex healthcare datasets, translating findings into actionable insights for clinical strategy and performance improvement. Proficient in managing multiple analytical priorities while effectively communicating complex methodologies to diverse stakeholders.

Highest-signal resume keywords

Master’s Degree Or PhD In Epidemiology, Biostatistics, Economics, Statistics, Health Services Research3+ Years Experience Applying Statistical Methods To Large DatasetsStrong Foundation In Causal Inference And Study DesignProficiency In Python And PySparkExperience With Medical Claims And Healthcare Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical MethodsEpidemiologic MethodsCausal InferenceStudy DesignData AnalysisComparative Effectiveness ResearchRandomized Controlled TrialsAnalytical MethodologiesHealthcare Value AssessmentPerformance Improvement

Soft Skills

Analytical ThinkingStructured Problem-SolvingAttention To DetailOrganizational SkillsEffective Communication

Tools & Technologies

PythonPySparkSASDatabricksMicrosoft Azure

Industry Keywords

Healthcare AnalyticsHealth InsuranceManaged CareClinical ProgramsValue-Based HealthcareHealthcare Payer EconomicsClinical InformaticsOperational DataMedical ClaimsPharmacy Claims

Tech Stack

Tools & technologies

AzurePySparkPython

About the role

Key responsibilities & impact

Design and execute rigorous outcomes studies evaluating clinical, utilization, and financial performance of clinical programs
Apply causal inference, epidemiologic, and statistical methods to estimate program impact and generate evidence for decision-making
Analyze medical and pharmacy claims, enrollment, and operational data to identify performance drivers and gaps
Translate ambiguous clinical and business questions into analytical questions, hypotheses, and study designs
Partner with clinical, operational, financial, and business stakeholders
Translate analytical insights into recommendations for clinical strategy, program design, contracting, and performance improvement
Develop analytical reports, presentations, and executive-level readouts
Communicate complex methodologies, findings, implications, and limitations to technical and non-technical audiences
Independently determine analytical approaches and make methodological decisions
Manage multiple analytical priorities while maintaining rigor, accuracy, and reproducibility
Connect analytical work to department, segment, and enterprise strategies and objectives

Requirements

What you’ll need

Master’s degree or PhD in Epidemiology, Biostatistics, Economics, Statistics, Health Services Research, Clinical Informatics, or a related quantitative discipline
3+ 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
3+ years of experience manipulating and analyzing large datasets using Python, PySpark, R, SAS, or comparable analytical tools
Strong analytical thinking and structured problem-solving skills
Ability to translate ambiguous business or clinical problems into rigorous analytical approaches
Ability to select and apply appropriate analytical methodologies to moderately complex to complex research and business questions
Excellent written and verbal communication skills
Strong attention to detail and organizational skills
Ability to manage multiple priorities effectively
Ability to work independently with minimal guidance while collaborating across multidisciplinary and cross-functional teams
Strong interest in healthcare and passion for improving health outcomes and healthcare value
Experience working in health insurance, managed care, healthcare analytics, or health services research preferred
Understanding of healthcare payer economics preferred
Experience with medical claims, pharmacy claims, laboratory data, eligibility/enrollment data, and clinical program operational data preferred
Familiarity with clinical concepts across chronic and specialty conditions preferred
Experience evaluating clinical programs, care management interventions, or value-based healthcare initiatives preferred
Familiarity with advanced causal inference and causal machine learning techniques preferred
Proficiency in Python and PySpark, with experience working in Databricks and Microsoft Azure preferred
This role is not eligible for work visa sponsorship
Home work area must be dedicated and protect member PHI/HIPAA information
Home internet must provide at least 25 Mbps download and 10 Mbps upload

Benefits

Comp & perks

Bonus incentive plan based on company and/or individual performance
Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings plan
Paid time off
Company holidays
Personal holidays
Paid parental leave
Paid caregiver leave
Short-term disability
Long-term disability
Life insurance
Self-provided internet service for home or hybrid employees
Occasional travel to Humana offices for training or meetings