Become a part of our caring community and help us put health first
Humana's Clinical Analytics Team is seeking a Senior Research Scientist (Remote). Our team identifies opportunities and builds 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.

As a Senior Research Scientist on the team, you will apply epidemiologic, economic, statistical principles to identify trends, assess variable associations, evaluate cause-effect relationships, and size potential opportunities using high volumes of complex data.

Responsibilities

As a Senior Research Scientist in Clinical Analytics, you will:

• Do exploratory analysis on populations, trends, and clinical conditions to inform potential opportunities for trend savings and clinical outcomes improvement for our members.
• Develop models and/or rules using clinical condition in claims data, membership data, or other data sources in order to target at-risk members who will benefit most from clinical interventions.
• Design outcomes studies and perform program evaluation using randomized controlled trials, propensity matching, difference-in-difference models, or other experimental/quasi-experimental methods.
• Discover key drivers of intervention enrollment and engagement and evaluate ways to improve.
• Conduct literature reviews and intervention research to assess engagement rates and treatment effect sizes of interventions that are in the early stages of design and implementation.
• Collaborate effectively with data teams, analytic teams, finance teams, product owners, clinicians, informaticists, leaders, and other business partners to align on objectives, approaches, and work plans.
• Write code in SQL, SAS, and Python to assemble data, create analytic variables/features, design visuals and charts, and statistical models for research/science use-cases.
• Present your analytical plans, study protocols, intervention theories of change, and analytical work to business partners in slide decks in a way that is easy to understand.
• Create and maintain content for insights memos, lessons learned, training, and team assets.
• Manage and prioritize your work so that you delivery quality analysis in a timely manner and communicate clear expectations with business partners.

Primary Qualifications

• Master's Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Engineering, and/or related fields
• 5+ years of experience that includes:
  • Skills to create datasets and analytical variables from large and complex data environments by writing code in SQL, SAS, and Python.
  • Applying research methods to transform high volumes of complex data into actionable insights.
  • Experience with experimental and quasi-experimental methods such as randomized controlled trials, propensity matching, or difference-in-difference models.
  • Publication of health outcomes research.
• Strong interest in healthcare and desire to make a positive impact on health outcomes.
• Ability to work collaboratively within a multi-disciplinary team, to deliver quality analytical work, and communicate results and insights clearly to business partners.

Use your skills to make an impact

Preferred Qualifications

• Doctorate degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Engineering, and/or related fields
• Healthcare or managed care working experience
• Experience working with medical, pharmacy, and 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, Microsoft Azure, PowerBI, and SAS

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 or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$93,000 - $128,000 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About us
Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.