Research Scientist for Clinical Data Analytics
4 weeks ago
We are seeking a Research Scientist to join our Clinical Strategy and Analytics (CSA) Team at Humana. This is an exciting opportunity to apply mathematical, statistical, and epidemiologic principles to identify trends and opportunities in healthcare data.
The ideal candidate will have a strong background in quantitative disciplines such as Epidemiology, Biostatistics, Economics, Statistics, or related fields. Experience working with high volumes of complex data and proficiency in programming languages such as Python, R, or SAS are also essential.
About the Role- Apply mathematical, statistical, and epidemiologic principles to transform high volumes of complex data into actionable insights
- Collaborate with analytic and business teams to set objectives, approaches, and work plans
- Leverage a wide range of analytics methods to drive clinical strategy and initiatives
- Bachelors Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Mathematics, Data Science, Data Analysis and/or related fields
- Demonstrated strong analytical thinking and problem-solving skills
- Demonstrated strong interest in healthcare and desire to make a positive impact on population health
- Flexible, dynamic personality who can work independently and collaboratively within a multi-disciplinary team
- 2+ years of experience in applying mathematics, statistics, epidemiologic or econometric principals to transform high volumes of complex data into actionable insights
- Masters Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Mathematics, Data Science, Data Analysis and/or related fields
- Healthcare or insurance working experience
- Experience working with medical, pharmacy, lab claims
- Experience with causal inference and causal machine learning techniques, and/or advanced machine learning algorithms
- Competitive salary: $71,100 - $97,800 per year
- Opportunity to work with big data and leverage a wide range of analytics methods
- Collaborative and dynamic work environment
- Professional development opportunities
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