Research Scientist

at  Humana

BECOME A PART OF OUR CARING COMMUNITY AND HELP US PUT HEALTH FIRST

Humana’s Clinical Analytics Team is seeking a 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 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.

PRIMARY QUALIFICATIONS

• Master’s Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Engineering, and/or related fields
• 2+ 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, and/or difference-in-difference models.
• 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 products, and communicate results and insights clearly to business partners.

PREFERRED QUALIFICATIONS

• Healthcare or managed care working experience
• Experience working with medical, pharmacy, and lab claims
• Familiarity with clinical concepts, conditions, and disease states such as oncology, behavioral health, and chronic conditions
• Knowledge of study design and outcomes research methods
• Experience using Pyspark, DataBricks, Microsoft Azure, PowerBI, and SAS

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.

As a Research Scientist on the Clinical Analytics team, 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 work to delivery quality analysis in a timely manner and communicate clear expectations with business partners.