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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Real World Data - **Company:** EQUAL OPPORTUNITY FOUNDATION, INC - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $204,500.0 - $267,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Data Validation, Data Infrastructure, Python (Programming Language), SQL Databases, Database Engines, Snowflake, Generative AI, Data Pipelines - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/dc7acd88-0876-4374-8adf-d373d0573e6a ## About the Role * You have 5+ years of experience, ideally with at least 2 years working in healthcare or life sciences, including direct exposure to EHR or claims datasets. * You have experience with ontologies and biomedical schemas (e.g. UMLS, LOINC, ICD9/10, MeSH) and understand the modalities found within RWD - billing claims, lab results, visit notes. * You're fluent in SQL and Python, and you've built and maintained production-grade pipelines that support analytics or scientific workflows. * You have experience building longitudinal patient cohorts from EHR or claims data, including index date logic, washout periods, and follow-up window construction. * You have a solid understanding of the causal inference frameworks such as potential outcomes and target trial emulation. * You have working familiarity with real-world evidence study design concepts-such as active comparator new user designs, time-to-event outcomes, confounder adjustment, and causal discovery algorithms-sufficient to partner effectively with Data Scientists on causal inference workflows. * You value clarity, documentation, and structured thinking-especially when working with complex healthcare data. * You have hands-on expertise with modern data infrastructure, such as Snowflake, dbt, and Dagster. * You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details. * Bonus: You've worked in regulated or privacy-sensitive data environments and are familiar with governance models for PHI or sensitive data. * Bonus: You have prior experience working with commercial RWD vendors (e.g. Truveta, Optum, Komodo, IQVIA) and understand the nuances of licensed claims and EHR datasets, including longitudinal patient journey construction and line-of-therapy sequencing. ## Description * Model and transform raw EHR and claims data into clean, canonical, and analytics-ready datasets using SQL, Python, and clinical standards like OMOP. * Build and manage scalable data pipelines using Dagster for orchestration, dbt for transformation, and Snowflake as the primary compute and storage engine. * Conduct hands-on RWD analyses to answer scientific and strategic research questions-including disease epidemiology, treatment patterns, patient journey characterization, and comparative effectiveness. * Partner with Data Scientists and clinical leads to design and execute observational studies, translating scientific questions into well-structured, reproducible analyses. * Implement data validation, completeness, and observability frameworks to ensure real-world datasets are accurate, comprehensive, and trustworthy for downstream research and product use. * Apply Generative AI techniques within transformation and analysis layers to accelerate data structuring and insight generation. * Communicate findings clearly to both technical and non-technical stakeholders, including summaries for portfolio teams and leadership. ## Related Videos - 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