Research Scientist, Level 2

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

📋 Description

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

• Utilize causal inference, epidemiologic, and statistical techniques to evaluate program impacts.

• Perform in-depth analyses using medical and pharmacy claims, enrollment data, and operational metrics.

• Identify key performance drivers, assess performance gaps, and reveal opportunities for improvement.

• Convert clinical and business inquiries into analytical questions and hypotheses.

• Collaborate with senior scientists on sophisticated study designs and methodologies.

• Work alongside clinical, operational, financial, and business stakeholders.

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

• Create analytical reports, presentations, and summaries for executive audiences.

• Clearly communicate complex methodologies, findings, implications, and limitations to both technical and non-technical audiences.

• Choose suitable analytical approaches and make methodological choices.

• Handle various analytical tasks while ensuring rigor, accuracy, and reproducibility.

⛳️ Requirements

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

• Over 2 years of experience applying statistical, epidemiologic, econometric, or related quantitative methods to large and complex datasets.

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

• Proficient in manipulating and analyzing data using Python, PySpark, R, SAS, or similar analytical tools.

• Excellent analytical thinking and structured problem-solving abilities.

• Capability to translate clinical and business issues into analytical solutions.

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

• Exceptional written and verbal communication skills.

• Keen attention to detail and strong organizational capabilities.

• Proficient in managing multiple priorities effectively.

• Ability to work autonomously while effectively collaborating with multidisciplinary and cross-functional teams.

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

• This position does not qualify for work visa sponsorship.

• Self-provided internet service must offer a minimum of 25 Mbps download and 10 Mbps upload speeds.

• A dedicated workspace is required to safeguard member PHI / HIPAA information.

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

• Preferred: knowledge of healthcare payer economics, healthcare utilization, medical costs, and total cost of care.

• Preferred: experience with medical claims, pharmacy claims, laboratory data, eligibility/enrollment data, and clinical program operational data.

• Preferred: familiarity with clinical concepts related to chronic and specialty conditions.

• Preferred: experience evaluating clinical programs, care management interventions, or value-based healthcare initiatives.

• Preferred: knowledge of advanced causal inference and causal machine learning techniques.

• Preferred: proficiency in Python and PySpark, with experience in Databricks and Microsoft Azure.

🏝️ 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.

• Personal wellness support.

• Smart healthcare decision support.