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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in applying statistical and epidemiologic methods to analyze complex healthcare data, translating findings into actionable insights for clinical strategy and performance improvement. Proficient in managing multiple analytical priorities while collaborating with cross-functional teams to enhance healthcare outcomes.
Highest-signal resume keywords
Master’s Degree Or PhD In Epidemiology, Biostatistics, Economics, Statistics, Health Services Research, Clinical Informatics2+ Years Experience Applying Statistical Methods To Large DatasetsStrong Foundation In Causal Inference And Study DesignExperience Manipulating Data Using Python, PySpark, R, SASStrong Analytical Thinking And Structured Problem-Solving Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Causal InferenceStudy DesignStatistical MethodsEpidemiologic MethodsComparative Effectiveness ResearchRandomized Controlled TrialsData AnalysisAnalytical MethodologiesHealthcare AnalyticsPerformance Improvement
Soft Skills
Excellent Written And Verbal Communication SkillsStrong Attention To DetailOrganizational SkillsAbility To Manage Multiple PrioritiesCollaborative Teamwork
Tools & Technologies
PythonPySparkRSASDatabricksMicrosoft Azure
Industry Keywords
HealthcareHealth InsuranceManaged CareHealthcare UtilizationMedical ClaimsPharmacy ClaimsClinical Program EvaluationValue-Based HealthcareHealthcare Payer EconomicsHealth Services Research
Tech Stack
Tools & technologiesAzurePySparkPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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