Research Scientist, Humana Clinical Strategy and Analytics
Category : Alumni
Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Strategy & Analytics team identifies opportunities and build solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries through an evidence-based approach using data analytics, clinical expertise, strategic mindset, and rigorous study designs. In this multi-disciplinary team, you will have the opportunity to work closely with strategy partners and clinicians to shape Humana’s enterprise clinical strategies and initiatives.
The Research Scientist 2 applies mathematical, statistical, and epidemiologic principles to identify trends, assess variable associations or cause-effect relationships, and size potential opportunities using high volumes of complex data. The Research Scientist 2 work assignments are varied and frequently require interpretation of data/information and independent judgement.
Responsibilities
As a Research Scientist, you will:
- Collaborate with analytic and data teams to set objectives, approaches, and work plans
- Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solutions and actional insights
- Collaborate with clinicians and clinical informaticists to define various clinical concepts and extract clinical information from medical, pharmacy, and lab claims for analytics and modeling purposes
- Translates analytic results into key takeaways and communicate to business partners
- Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas
- Make decisions regarding own work methods, occasionally in ambiguous situations with general guidance
Required Qualifications
- Master’s Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, 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 principals to transform high volumes of complex data into actionable insights
- Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways
- Experience manipulating and analyzing data using Python, SAS, R, or similar software
Preferred Qualifications
- Healthcare or managed care working experience
- Experience working with medical, pharmacy, lab claims
- Demonstrated familiarity with clinical concepts related to a broad range of clinical conditions and disease states – experience with oncology, behavioral health and chronic conditions would be particularly valuable
- Demonstrated familiarity with hypothesis testing, statistical methods, and/or comparative effectiveness study design and modeling techniques
- Experience using Pyspark, DataBricks, and/or Microsoft Azure
Scheduled Weekly Hours40
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