Senior Research Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement comprehensive outcome studies to evaluate the clinical, utilization, and financial performance of healthcare programs.

• Utilize causal inference, epidemiologic, and statistical techniques to assess program impact and produce evidence for informed decision-making.

• Examine medical and pharmacy claims, enrollment, and operational data to pinpoint performance drivers and identify gaps.

• Convert vague clinical and business inquiries into clear analytical questions, hypotheses, and study frameworks.

• Collaborate with clinical, operational, financial, and business partners.

• Transform analytical insights into actionable recommendations for clinical strategy, program development, contracting, and performance enhancement.

• Create analytical reports, presentations, and executive summaries.

• Effectively convey complex methodologies, findings, implications, and limitations to both technical and non-technical audiences.

• Independently select analytical strategies and make methodological choices.

• Manage various analytical priorities while ensuring rigor, accuracy, and reproducibility.

• Align analytical initiatives with departmental, segment, and enterprise strategies and objectives.

⛳️ Requirements

• Master’s degree or PhD in Epidemiology, Biostatistics, Economics, Statistics, Health Services Research, Clinical Informatics, or a related quantitative field.

• Over 3 years of experience applying statistical, epidemiologic, econometric, or similar quantitative methods to large, intricate datasets.

• Solid foundation in causal inference and study design, including observational studies, comparative effectiveness research, and randomized controlled trials.

• More than 3 years of experience in manipulating and analyzing substantial datasets utilizing Python, PySpark, R, SAS, or equivalent analytical tools.

• Strong analytical thought process and structured problem-solving abilities.

• Capacity to transform unclear business or clinical issues into methodical analytical solutions.

• Ability to choose and implement suitable analytical methodologies for moderately complex to complex research and business inquiries.

• Exceptional written and verbal communication skills.

• High attention to detail and strong organizational capabilities.

• Proficiency in managing multiple priorities effectively.

• Ability to work independently with minimal supervision while collaborating across diverse and cross-functional teams.

• Deep interest in healthcare and a commitment to enhancing health outcomes and healthcare value.

• Preferred experience in health insurance, managed care, healthcare analytics, or health services research.

• Familiarity with healthcare payer economics is preferred.

• Experience with medical claims, pharmacy claims, laboratory data, eligibility/enrollment data, and operational data from clinical programs is preferred.

• Understanding of clinical concepts related to chronic and specialty conditions is preferred.

• Experience assessing clinical programs, care management strategies, or value-based healthcare initiatives is preferred.

• Knowledge of advanced causal inference and causal machine learning techniques is preferred.

• Proficiency in Python and PySpark, along with experience in Databricks and Microsoft Azure, is preferred.

• This position is not eligible for work visa sponsorship.

• The home workspace must be dedicated and ensure the protection of member PHI/HIPAA information.

• Home internet must support a minimum of 25 Mbps download and 10 Mbps upload speeds.

🏝️ Benefits

• Bonus incentive plan based on company and/or individual performance.

• Medical benefits.

• Dental benefits.

• Vision benefits.

• 401(k) retirement savings plan.

• Paid time off.

• Company holidays.

• Personal holidays.

• Paid parental leave.

• Paid caregiver leave.

• Short-term disability.

• Long-term disability.

• Life insurance.

• Self-provided internet service for home or hybrid employees.

• Occasional travel to Humana offices for training or meetings.