# Research Scientist 2 **Company**: Humana **Location**: Remote Nationwide **Work arrangement**: remote **Experience**: senior **Job type**: full-time **Salary**: $78,400 - $107,800 per year **Category**: Research **Industry**: Healthcare **Apply**: https://humana.wd5.myworkdayjobs.com/en-US/Humana_External_Career_Site/job/Remote-Nationwide/Research-Scientist-2_R-433914?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/job/research-scientist-2-3a62e9c9-a0a/ ## Description The Research Scientist 2 applies statistical, epidemiologic, and analytical methods to healthcare data to evaluate clinical program performance, understand drivers of outcomes, and support clinical and business decision-making. This role will be part of the Quality & Cost Strategy Analytics team supporting the performance management and evaluation of clinical programs. The Research Scientist 2 will design and execute rigorous outcomes studies, conduct deep-dive analyses to diagnose program performance, and translate complex analytical findings into clear recommendations for clinical, operational, and business partners. Responsibilities: - Design and execute outcomes studies to evaluate the clinical, utilization, and financial performance of clinical programs using observational and experimental methods. - Apply causal inference, epidemiologic, and statistical methods to estimate program impact and generate credible evidence for decision-making. - Conduct deep-dive analyses using medical and pharmacy claims, enrollment, and operational data to identify key performance drivers, diagnose performance gaps, and uncover opportunities for improvement. - Translate clinical and business questions into clearly defined analytical questions and hypotheses, partnering with senior scientists as needed on more complex study designs and methodologies. - Partner with clinical, operational, financial, and business stakeholders to translate analytical insights into recommendations that inform clinical strategy, program design, contracting, and performance improvement. - Develop high-quality analytical reports, presentations, and executive-level readouts for internal and external stakeholders. - Translate complex methodologies and findings into clear, actionable business insights, communicating both implications and analytical limitations to technical and non-technical audiences. - Independently determine appropriate analytical approaches and make sound methodological decisions in complex or ambiguous situations. - Manage multiple analytical priorities while maintaining high standards for methodological rigor, accuracy, and reproducibility. Required Qualifications: - 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, with the 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, with guidance on more complex methodological challenges. - Excellent written and verbal communication skills, including the ability to synthesize complex methodologies and findings into clear insights and recommendations for non-technical audiences. - Strong attention to detail and organizational skills, with the ability to manage multiple priorities effectively. - Demonstrated 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. Preferred Qualifications: - Experience working in health insurance, managed care, healthcare analytics, or health services research. - Strong understanding of healthcare payer economics, including healthcare utilization, medical cost, and total cost of care. - Experience working with medical claims, pharmacy claims, laboratory data, eligibility/enrollment data, and clinical program operational data. - Familiarity with clinical concepts across chronic and specialty conditions, such as cardiology, chronic kidney disease, oncology, or other high-cost clinical conditions. - Experience evaluating clinical programs, care management interventions, or value-based healthcare initiatives. - Familiarity with advanced causal inference and causal machine learning techniques, such as double/debiased machine learning, doubly robust estimation, and meta-learners. - Proficiency in Python and PySpark, with experience working in Databricks and Microsoft Azure. Benefits: - Medical, dental, and vision benefits - 401(k) retirement savings plan - Time off (including paid time off, company and personal holidays, paid parental and caregiver leave) - Short-term and long-term disability - Life insurance For more fresh new jobs, check out [yubhub.co](https://yubhub.co/). ## Skills ### Required - Python - PySpark - R - SAS - Epidemiology - Biostatistics - Economics - Statistics - Health Services Research - Clinical Informatics ### Nice to have - Databricks - Microsoft Azure - causal machine learning - double/debiased machine learning - doubly robust estimation - meta-learners --- Source: [Apply at humana.wd5.myworkdayjobs.com](https://humana.wd5.myworkdayjobs.com/en-US/Humana_External_Career_Site/job/Remote-Nationwide/Research-Scientist-2_R-433914?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)