Sobre esta vaga de Research Scientist 2 na CenterWell
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The Research Scientist 2 participates in research study design, analysis and interpretation of results, with special emphasis on statistical and analytical plan development; data acquisition, preparation, and management; statistical analysis and interpretation of findings. The Research Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.Humana’s Healthcare Quality & Reporting Improvement (HQRI) department is seeking a Research Scientist 2 to join a high-performing team dedicated to advancing predictive modeling and analytics in support of our Medicare and Medicaid business. The HQRI team plays a pivotal role within Humana, delivering insights that drive the effectiveness of risk adjustment initiatives.
In this position, the Research Scientist 2 will partner with a senior research scientist to apply advanced statistical methods to rigorously evaluate the impact of risk adjustment programs and pilot projects. The findings generated will be critical in informing key business decisions and optimizing operational strategies.
Additionally, the person in this role will collaborate with colleagues specializing in data science and actuarial analytics. We are seeking a candidate who brings complementary skills to the team, with the ability to learn from their teammates while contributing with their unique expertise in statistical analysis.
Use your skills to make an impact
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Mathematics or a related quantitative field;
- 2 years of experience applying statistical modeling, predictive analytics, machine learning, or quantitative research methods in a healthcare, insurance, consulting, or data science environment.
- Strong programming skills in Python and SQL, with hands-on experience developing analytical and modeling solutions in Databricks, PySpark, or similar distributed data processing environments.
- Experience building, calibrating, validating, and analyzing predictive models, including model performance evaluation, calibration techniques, and interpretation of modeling results.
- Experience performing exploratory data analysis, feature engineering, and model performance assessment using large and complex datasets.
- Ability to translate analytical findings into actionable business insights and effectively communicate results to technical and non-technical stakeholders.
- Strong problem-solving, critical thinking, and collaboration skills, with the ability to work effectively in a cross-functional environment.
- Must reside in or within reasonable commuting distance to Louisville, KY office. Candidates willing to self-relocate to Louisville also will be considered. Position requires working 2 days per week in office.
Preferred Qualifications:
- Master's degree or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative discipline.
- Experience with healthcare analytics, including Medicare, Medicaid, Risk Adjustment, HCC modeling, Stars/HEDIS, provider analytics, or population health programs.
- Experience developing, maintaining, or optimizing machine learning models in cloud-based analytics platforms such as Databricks.
- Strong understanding of model calibration methodologies, including probability calibration techniques such as Platt Scaling, Isotonic Regression, and score normalization approaches.
- Experience working with large-scale healthcare datasets, claims data, medical records, encounter data, or clinical data sources.
- Familiarity with machine learning libraries such as scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
Additional Information
This role is not eligible for work visa sponsorship.
This is a Hybrid role (2 days work in office).
Scheduled Weekly Hours
40Pay 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.
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.
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.
