[Hiring] Research Scientist @Humana

Role Description

Humana’s Quality and Cost Strategy Analytics Team is seeking a Research Scientist 2 (Remote). The Research Scientist 2 will lead research, evaluation and development of opportunities that optimize healthcare delivery, lower medical cost while improving member health outcomes, through applying mathematical, statistical, epidemiologic and data science methods. The Research Scientist 2 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 populations, using high volumes of structured and unstructured data.

• 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 actionable 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
• Translate analytic results into key takeaways and make recommendations to business partners
• Understand 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

Qualifications

• Bachelor's Degree
• 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
• 1-3 years of experience in applying mathematics, statistics, epidemiologic or econometric principles 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
• Proficient in manipulating and analyzing data with at least one of the programming languages such as Python, R

Requirements

• Master's Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Mathematics, Data Science, Data Analysis and/or related fields
• 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, and/or other specific healthcare areas such as EMR, Episode grouper, utilization management, value-based care, low value care etc.

Benefits

• 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
• Many other opportunities