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Research Scientist

Remote US

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 builds solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries. This is done 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 clinical strategies and initiatives.

The Research Scientist 2 applies statistical and epidemiologic principles to identify trends, assess cause-effect relationships, and size potential opportunities using high volumes of complex data. The Research Scientist 2 work assignments are varied and require interpretation of data and independent judgement.

Responsibilities

As a Research Scientist 2, you will:

  • Collaborate with analytic and data teams to set objectives, approaches, and work plans
  • 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
  • Leverage a wide range of analytics methods from descriptive analysis to epidemiological methods
  • Translate analytic results into key takeaways with actionable insights and communicate to business partners
  • Understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas
  • Make decisions regarding research 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, 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

  • 1-2 years healthcare or managed care working experience
  • Experience working with medical, pharmacy, lab claims
  • Demonstrated familiarity with value based care and/or clinical concepts related to a broad range of clinical conditions …
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Job Profile

Regions

North America

Countries

United States

Restrictions

Remote US

Benefits/Perks

Bonus Incentive Bonus incentive plan Caring community Competitive benefits Dental Flexible work environment Holidays Life Insurance Medical Paid parental and caregiver leave Paid Time Off Parental and Caregiver Leave Personal holidays Support whole-person well-being Time off Vision Vision Benefits Volunteer time Volunteer time off

Tasks
  • Analysis
  • Analyze complex data
  • Collaborate with teams
  • Communication
  • Interpretation
  • Research
  • Training
Skills

Analysis Analytic Analytical Analytical thinking Analytics Analyzing Behavioral health Biostatistics Business Business Insights Claims Clinical Clinical Informatics Communication Compensation Data Data & Analytics Economics Epidemiology Healthcare Hypothesis Testing Informatics Insurance Judgement Managed Care Mathematics Medicaid Medicare Medicare Advantage Modeling Modeling techniques Organizational Pharmacy Population health Problem-solving Python R Recruitment Research Research methods SAS Statistical analysis Statistical methods Statistics Strategy Teams Testing Training Wellness Written communication

Experience

2 years

Education

Analytics Behavioral health Biostatistics Business Communication Economics Education Healthcare Higher Master's Master's degree Mathematics Quantitative discipline Related fields Statistics

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9