Become a part of our caring community and help us put health first
 

Humana’s Clinical Analytics Team is seeking a Lead Research Scientist (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.


The Lead Research Scientist will lead identification, evaluation and development of opportunities that optimize healthcare delivery, lower medical cost while improve member health outcomes, through applying mathematical, statistical, epidemiologic and data science methods. The Lead Research Scientist will also partner with stakeholders across the enterprise to identify, prioritize and measure the impact of core and novel solutions to significant problems in healthcare and improve the health of especially underserved population.

Responsibilities

• As a Lead Research Scientist, 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

Use your skills to make an impact
 

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
• Experience in the healthcare industry and healthcare data such as claims, EHR
• 5-7 years of professional experience leveraging structured and unstructured data
• Proficient in manipulating and analyzing data with at least one of the programming languages such as Python or R
• Demonstrated strong analytical thinking and problem-solving skills
• 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

• 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 hypertension, diabetes, kidney care, behavioral health and/or other chronic conditions
• Deep understanding of healthcare payer economics, and/or other specific healthcare areas such as EMR, Episode grouper, utilization management, value-based care, low value care etc.
• Experience managing people and multiple projects

Additional Information

Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. Consumers expect more personalized and holistic experiences from their health partners. Humana’s Enterprise Clinical Operating Model (ECOM), is a multi-year strategy with the goal of improving member experiences and health outcomes through better integrating Humana's processes, technology and clinical capabilities. The person occupying this role will be instrumental in executing on the vision of ECOM in partnership with leaders and teams across Humana.

Scheduled Weekly Hours

40

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 o