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Senior Data Scientist – Causal Inference

Senior Data Scientist – Causal Inference

CompanyCovera Health
LocationNew York, NY, USA
Salary$175000 – $200000
TypeFull-Time
DegreesMaster’s, PhD
Experience LevelSenior

Requirements

  • Ph.D. or M.S. in Statistics, Economics, Biostatistics, Applied Mathematics, Epidemiology, Computer Science, or a related field
  • At least 2 years of experience for PhD degree holders or 5 years for M.S. degree holders with a strong track record of applying statistical and causal inference methods to real-world healthcare data
  • Strong foundation in statistical modeling, including Generalized Linear Models, Mixed Models, and longitudinal data analysis
  • Expertise in study design and causal inference methodologies such as Propensity Score Matching, Propensity Score Weighting, Difference-In-Differences, and Regression Discontinuity Design
  • Strong foundation in coding best practices, with expertise in R, Spark (specifically sparklyr), SQL, and Python for data science
  • Exceptional skills in R and sparklyr are required
  • Experience developing scalable code for use by a wider team and contributing to a collaborative codebase
  • Proven ability to troubleshoot code, technical issues, and optimize data pipelines effectively
  • Strong understanding of, and experience working with, real-world medical and claims data, including familiarity with ICD codes, CPT codes, CMS-HCC models, and comorbidity coding
  • Experience interpreting and working with medical coding standards to extract meaningful insights from healthcare datasets
  • Excellent communication skills, with a proven ability to explain complex methodologies to non-technical stakeholders
  • Enthusiasm for working in a collaborative, cross-functional team environment, paired with a proactive, problem-solving mindset

Responsibilities

  • Process and Analyze Healthcare Data
  • Conduct Statistical Analysis and Causal Inference Modeling
  • Provide Technical and Thought Leadership
  • Maintain and Extend Data and Modeling Pipelines
  • Improve and Troubleshoot Codebase
  • Conduct Ad-Hoc Analyses
  • Prepare and Communicate Insights
  • Collaborate
  • Publish

Preferred Qualifications

  • Preferred experience working with payor organizations, healthcare consulting, and/or fast-paced, client-facing environments