Research Scientist, Level 2

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $78.4k - $107.8k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧬 Research Scientist

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Humana

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1961

🏥 Healthcare

🛡️ Insurance

⚕️ Healthcare Insurance

Healthcare • Insurance • Healthcare Insurance

Humana is a healthcare company dedicated to making a positive impact on the health of individuals, communities, and the healthcare system as a whole. With a focus on putting health first, Humana serves a diverse range of populations, including seniors and the military, providing Medicare Advantage HMO, PPO, and PFFS plans. Humana is committed to fostering a culture of belonging and mutual respect, offering competitive and flexible benefits to ensure the financial security of its employees and their families. The company prides itself on creating an inclusive workplace where everyone has the opportunity to succeed.

📋 Description

• Design and execute outcomes studies evaluating clinical, utilization, and financial performance of clinical programs • Apply causal inference, epidemiologic, and statistical methods to estimate program impact • Conduct deep-dive analyses using medical and pharmacy claims, enrollment, and operational data • Identify performance drivers, diagnose performance gaps, and uncover improvement opportunities • Translate clinical and business questions into analytical questions and hypotheses • Partner with senior scientists on complex study designs and methodologies • Collaborate with clinical, operational, financial, and business stakeholders • Translate analytical insights into recommendations for clinical strategy, program design, contracting, and performance improvement • Develop analytical reports, presentations, and executive-level readouts • Communicate complex methodologies, findings, implications, and limitations to technical and non-technical audiences • Determine appropriate analytical approaches and make methodological decisions • Manage multiple analytical priorities while maintaining rigor, accuracy, and reproducibility

🎯 Requirements

• Master’s degree or PhD in Epidemiology, Biostatistics, Economics, Statistics, Health Services Research, Clinical Informatics, or a related quantitative discipline • 2+ years of experience applying statistical, epidemiologic, econometric, or related quantitative methods to large, complex datasets • Strong foundation in causal inference and study design, including observational studies, comparative effectiveness research, and randomized controlled trials • Experience manipulating and analyzing data using Python, PySpark, R, SAS, or comparable analytical tools • Strong analytical thinking and structured problem-solving skills • Ability to translate clinical and business questions into analytical approaches • Ability to select and apply appropriate analytical methodologies to moderately complex research and business questions • Excellent written and verbal communication skills • Strong attention to detail and organizational skills • Ability to manage multiple priorities effectively • Ability to work independently while collaborating effectively with multidisciplinary and cross-functional teams • Strong interest in healthcare and a passion for improving health outcomes and healthcare value • This role is not eligible for work visa sponsorship • Self-provided internet service must provide at least 25 Mbps download and 10 Mbps upload • Dedicated workspace required to protect member PHI / HIPAA information • Preferred: experience in health insurance, managed care, healthcare analytics, or health services research • Preferred: understanding of healthcare payer economics, healthcare utilization, medical cost, 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 across chronic and specialty conditions • Preferred: experience evaluating clinical programs, care management interventions, or value-based healthcare initiatives • Preferred: familiarity with 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

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