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Humana

Research Scientist 2

Montgomery, AL, United States

$78,400 - $107,800 per year

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Job details

Pay: $78,400 - $107,800 per year
Experience: 2+ years of experience applying statistical, epidemiologic, econometric, or related quantitative methods to large, complex datasets.
Working hours: 40 hours per week
Posting language: English
Posted: Nov 6, 2026

Original job description

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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 thinking and structured problem-solving skills, with the ability to translate clinical and business questions into analytical approaches.
Ability to select and apply appropriate analytical methodologies to moderately complex research and business questions, with guidance on more complex methodological challenges.
Excellent written and verbal communication skills, including the ability to synthesize complex methodologies and findings into clear insights and recommendations for non-technical audiences.
Strong attention to detail and organizational skills, with the ability to manage multiple priorities effectively.
Demonstrated ability to work independently while collaborating effectively with multidisciplinary and cross-functional teams.
Strong interest in healthcare and a passion for improving health outcomes and healthcare value.

Preferred Qualifications

Experience working in health insurance, managed care, healthcare analytics, or health services research.
Strong understanding of healthcare payer economics, including healthcare utilization, medical cost, and total cost of care.
Experience working with medical claims, pharmacy claims, laboratory data, eligibility/enrollment data, and clinical program operational data.
Familiarity with clinical concepts across chronic and specialty conditions, such as cardiology, chronic kidney disease, oncology, or other high-cost clinical conditions.
Experience evaluating clinical programs, care management interventions, or value-based healthcare initiatives.
Familiarity with advanced causal inference and causal machine learning techniques, such as double/debiased machine learning, doubly robust estimation, and meta-learners.
Proficiency in Python and PySpark, with experience working in Databricks and Microsoft Azure.

Use your skills to make an impact

This role is not eligible for work visa sponsorship.

Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$78,400 - $107,800 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline: 11-11-2026

About us

About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.

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.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

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More about this job

Skills

Research
Decision making
Performance management
Analytical skills
Attention to detail
Presentation skills
Statistics
Python
PySpark
R
SAS
Problem solving
Communication skills
Organizational skills
Work independently
Machine learning
Estimating
Databricks
Microsoft Azure

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Work requirements

Jobs in the United States