Senior Data Scientist, Causal Inference

About the role

In this role, you will be expected to:

• Process and Analyze Healthcare Data: Work with various types of healthcare data, including longitudinal medical claims data, to quantify the relationships between healthcare quality and patient outcomes, such as cost, clinical outcomes, and care patterns.
• Conduct Statistical Analysis and Causal Inference Modeling: Conduct statistical modeling of claims data using methods like Propensity Score Matching, Propensity Score Weighting, and Difference-In-Differences. Develop, maintain, extend, and validate models and methods to quantify program savings and ROI.
• Provide Technical and Thought Leadership: Serve as an in-house expert on causal inference techniques, lead study design efforts, propose and develop Statistical Analysis Plans (SAPs), and ensure methodological rigor across projects. 
• Maintain and Extend Data and Modeling Pipelines: Develop, run, and enhance our data engineering and modeling pipelines to create modeling datasets, run statistical models, and produce quarterly business performance reports.
• Improve and Troubleshoot Codebase: Review and optimize the team’s data pipelines and statistical code to enhance runtime and memory efficiency, ensure reproducibility, and support automation and scalability. Troubleshoot technical issues as they arise, working with the engineering team as needed for support.
• Conduct Ad-Hoc Analyses: Conduct ad-hoc analyses (e.g. of claims data) as business needs arise in a fast-paced environment to uncover business and clinical insights and support Covera’s strategy and decision-making.
• Prepare and Communicate Insights: Develop clear, compelling documentation and presentations for client meetings and key deliverables. Effectively communicate analytical results to both internal and external stakeholders and co-lead methodological discussions with clients.
• Collaborate: Work closely with data science team members and cross-functional colleagues across Covera on analysis requests, projects, and research initiatives.
• Publish: Author and contribute to academic publications and white papers. Serve as an ambassador for Covera’s methodologies and value proposition within the research and healthcare communities.

Requirements:

• Educational Background: Ph.D. or M.S. in Statistics, Economics, Biostatistics, Applied Mathematics, Epidemiology, Computer Science, or a related field.
• Experience: 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.
• Statistical and Causal Inference Expertise:
• 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.
• Coding Skills:
• 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.
• Healthcare Data Expertise:
• 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.
• Communication and Collaboration:
• 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.
• Industry Experience: Preferred experience working with payor organizations, healthcare consulting, and/or fast-paced, client-facing environments.

Benefits

• Comprehensive medical plans - choose from three plans, including one with 100% of premiums covered for you and your dependents
• Vision & Dental
• Flexible Time Off - take the time you need, when you need it
• Covera Fridays - once a month, Covera takes a fully paid day off to unplug and recharge
• 401(k) Retirement Plan
• Annual Professional Development Stipend to invest in courses, books, or any other professional development related activity
• Annual Wellness stipend for fitness, mental health or other wellness expenses

The minimum and maximum salary for this position ranges from $175,000 to $200,000, in addition to a discretionary bonus and comprehensive benefits package. Final salary will be based on a number of factors including but not limited to, a candidate’s qualifications, skills, competencies, experience, expertise and location.

At Covera Health, we strive to build diverse teams that reflect the people we want to empower through our technology. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Covera Health is proud to be an equal-opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.