Senior Data Scientist/Analyst – OMOP

This is a fully remote position, open to applicants in Florida, +2 more states.

📋 Description

• Collaborate with researchers to comprehend project needs and convert them into solutions compatible with OHDSI/DARWIN.

• Construct, validate, and execute OMOP CDM cohorts and analyses utilizing: ATLAS (cohort definition, characterization, exploration), ATHENA (vocabulary browsing, concept sets), ACHILLES (data characterization and quality insights), and R packages within the OHDSI/DARWIN ecosystem (for cohort execution, characterization, estimation, and related workflows).

• Conduct analyses using ATLAS and/or Prometheus or through programmatic workflows in R (and Python when appropriate), based on study requirements and platform patterns.

• Tailor and enhance OHDSI tools and applications as necessary to meet project or portfolio-specific needs.

• Apply and document observational study designs and epidemiological concepts for Real-World Evidence (e.g., descriptive epidemiology, cohort designs, self-controlled designs, comparative approaches as suitable).

• Implement and interpret suitable statistical methods, including strategies for confounding control, time-to-event approaches, sensitivity analyses, and evaluations fit for purpose.

• Maintain knowledge of machine learning and statistical concepts to assist with exploratory modeling, feature engineering, prediction workflows (when relevant), and method selection.

• Create reusable and maintainable analytic code, emphasizing reproducibility and auditability (clear methods, parameterization, and structured outputs).

• Integrate AI-assisted workflows (beneficial and can be taught) to enhance efficiency in: code generation/refactoring, validation and QA checks, documentation and study write-ups, exploratory analysis, and summary generation while ensuring results are transparent, traceable, and scientifically defensible.

• Utilize GitHub extensively (branching, pull requests, code reviews, issue tracking) to produce collaborative, production-grade analytics.

⛳️ Requirements

• Master's degree in Statistics or a related field.

• Proven experience with OMOP CDM and OHDSI tools, including ATLAS (or Prometheus), ATHENA, and ACHILLES.

• Proficiency in common OHDSI community languages: SQL and R.

• Strong grasp of observational study design and epidemiological concepts, with a focus on Real-World Evidence.

• Experience with healthcare data such as EHR and insurance claims, including healthcare data standards and evaluations fit for purpose.

• Solid understanding of clinical terminologies such as SNOMED, ICD-9/10, CPT, HCPCS, READ (and related standard vocabularies used in OMOP).

• Experience in data quality assessment and data validation techniques.

• Proven capability to thrive in a fast-paced environment, delivering high-quality outputs with comprehensive documentation and collaboration.

• Strong problem-solving skills and comfort working in cross-functional teams.

• Excellent communication abilities, with the capacity to explain technical concepts to both technical and non-technical stakeholders.

• Significant experience in developing and maintaining documentation for Real-World Evidence studies and insights generation.

• Demonstrated willingness and capability to incorporate AI tools into workflows for enhanced efficiency and quality.

🏝️ Benefits

• Health benefits including Medical, Dental, and Vision coverage.

• Company match for 401k contributions.

• Eligibility to participate in the Employee Stock Purchase Plan.

• Opportunity to earn commissions/bonuses based on both company and individual performance.

• Flexible paid time off (PTO) and sick leave.