L.A. Care Health Plan · 5 days ago
Causal Impact Scientist III
Los Angeles, CA
Full-time
Onsite
Senior Level
$135K/yr - $216K/yr
6+ years expL.A. Care Health Plan is the nation’s largest publicly operated health plan, providing health coverage to low-income residents of Los Angeles County. The Causal Impact Scientist III is responsible for developing and implementing scalable approaches to measure program impact and leads the creation of analytic pipelines and causal inference frameworks.
FitnessGovernmentHealth Care
Responsibilities
Lead the design, implementation, and interpretation of advanced causal inference studies across multiple health plan programs using techniques such as difference-in-differences, propensity score methods, inverse probability weighting, synthetic controls, interrupted time series, and Randomized Control Trials (RCTs)
Develop scalable, modular frameworks for impact evaluation that can be ported across programs and interventions, ensuring reproducibility, transparency, and efficient deployment
Identify which interventions deliver the greatest value, equity, and member outcomes, guiding sub-population targeting, program improvement, and policy recommendations
Mentor and provide technical guidance to staff on methodology, coding, documentation, and analytic rigor
Build and maintain robust, reproducible analytical pipelines in Python (PySpark, pandas) and R; leverage Snowflake/Snowpark, Spark, and cloud-based computing resources to scale analyses
Lead GitHub version control, peer review, and code standardization practices to ensure high-quality, reusable analytic assets
Manage project deliverables and team workflows in Jira; document methods, assumptions, and results clearly in Confluence
Translate complex analytic findings into actionable insights, guiding executive decision-making and influencing strategic initiatives
Collaborate with cross-functional teams to integrate causal and predictive insights for comprehensive program evaluation
Stay current on emerging methods in causal inference, impact evaluation, and population health analytics, incorporating new approaches into the team’s analytic toolkit
Apply subject matter expertise in evaluating business operations and processes
Identify areas where technical solutions would improve business performance
Consult across business operations, provide mentorship, and contribute specialized knowledge
Ensure that the facts and details are correct so that the program's deliverable meets the needs of the department, organization and legislation's policies, standards, and best practices
Provide training and recommend process improvements as needed
Perform other duties as assigned
Qualification
Required
Master's Degree
At least 6 years of professional experience conducting causal inference or program evaluation analyses in healthcare, public health, or a related field
Proven experience applying advanced causal inference methods (e.g., difference-in-differences, matching, synthetic controls, RCTs) to observational and experimental healthcare data
Hands-on experience developing and deploying scalable analytic pipelines in Python and/or R
Experience collaborating with cross-functional teams, translating analytic findings into actionable recommendations
Experience working with large-scale datasets in Spark or distributed computing environments
Expertise in causal inference methods: difference-in-differences, propensity score matching, synthetic controls, interrupted time series, RCT design, and related techniques
Advanced programming skills in Python (pandas, PySpark, statsmodels) and R (dplyr, ggplot2, MatchIt, did, or similar)
Ability to design reproducible, modular, and scalable analytic pipelines
Proficiency with GitHub, Confluence, and Jira for code collaboration, documentation, and project management
Strong written and verbal communication skills; ability to translate complex analyses into actionable insights for stakeholders
Strong Collaboration Skills And Experience Mentoring Junior Team Members
Ability to manage multiple projects and priorities in a fast-paced environment
Ability to apply critical thinking skills in causal reasoning to address complex healthcare data problems
Demonstrated ability to mentor and guide staff on methodology, coding, and documentation
Strong communication skills, including documenting methodology, assumptions, and results for both technical and non-technical stakeholders
Certified Health Data Analyst (CHDA)
Certified Analytics Professional (CAP)
Snowflake SnowPro Core Certification
SnowPro Specialty: Data Engineering or Snowpark
Health Economics and Outcomes Research (HEOR) Certification or Graduate Certificate
Causal Inference for Data Science (e.g., University of Pennsylvania or MITx MicroMasters)
Preferred
Doctorate Degree
Extensive experience in Managed Care Plans (Medicaid, Medicare, ACA Exchange), including understanding claims, encounters, eligibility, provider networks, and quality metrics
Experience designing and implementing (RCTs) or complex quasi-experimental studies in healthcare operational settings
Experience applying causal inference methods to program targeting, equity assessment, and policy evaluation
Experience building reusable analytic tools and frameworks that can be applied across multiple use cases
Working knowledge of modern cloud-based analytic ecosystems (Snowflake, Azure)
Knowledge of visualization and reporting frameworks to communicate impact results to leadership
Knowledge of Snowflake/Snowpark, cloud computing, and distributed data platforms
Strong presentation skills, with experience briefing senior leadership on analytic findings and strategic implications
Knowledge of health equity analytics and population segmentation for targeting interventions
Benefits
Paid Time Off (PTO)
Tuition Reimbursement
Retirement Plans
Medical, Dental and Vision
Wellness Program
Volunteer Time Off (VTO)
Company
L.A. Care Health Plan
L.A. Care’s mission is to provide access to quality health care for L.A.
1001-5000 employees
H1B Sponsorship
L.A. Care Health Plan has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (1)
2021 (3)
2020 (1)
Funding
Current Stage
Late StageLeadership Team
Melanie Rainer
Chief Strategy and Transformation Officer
Recent News
2026-01-17
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2025-08-27
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