Clinical Research Scientist 2

About the Role

Employment Type: Full time

Become a part of our caring community and help us put health first. Humana’s Clinical Analytics Team is seeking a Research Scientist 2 (Remote).

Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Analytics team identifies opportunities and build solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries leveraging data science & 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 future enterprise clinical strategies and initiatives.

Responsibilities

As a Research Scientist 2, you will:

• Research, prototype and scale new ideas to improve population health and healthcare delivery
• Collaborate with analytic and business teams to set objectives, approaches, and work plans
• Collaborate with strategy to evaluate existing programs and identify and measure new solutions to impact healthcare
• 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 make recommendations to business partners
• Understands department, segment, and organizational strategy and operating objectives, and translate the strategy to work priorities
• 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, Mathematics, Data Science, Data Analysis and/or related fields
• 1-3 years of experience in applying mathematics, statistics, epidemiologic or econometric principals to transform high volumes of complex data into actionable insights
• Demonstrated strong interest in healthcare and desire to make a positive impact on population health
• Proficient in manipulating and analyzing data with at least one of the programming languages such as Python, R, SAS
• Demonstrated strong analytical thinking and problem-solving skills
• Flexible, dynamic personality who can work independently and collaboratively within a multi-disciplinary team
• 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

Preferred Qualifications

• Healthcare or managed care working experience
• Experience working with medical, pharmacy, lab claims
• Experience working with big data and using PySpark, Spark R or Spark Scala
• Experience with causal inference and causal machine learning techniques, and/or advanced machine learning algorithms such as deep learning, NLP, recommender system, network analysis
• Familiarity with clinical concepts related to a broad range of clinical conditions and disease states, such as oncology, falls, palliative care, behavioral health and/or other chronic conditions
• Deep understanding of healthcare payer economics