Sr Programmer Sr Data Scientist​/Analyst OMOP; NA & UK

Sr Programmer Sr Data Scientist/Analyst OMOP (NA & UK Only) Job Responsibilities

• Must be located in the United States, Canada or UK with no sponsorship needs to be considered for this position.

• Collaborate with researchers to understand project requirements and translate them into OHDSI/DARWIN-compatible solutions.
• Build, validate, and execute OMOP CDM cohorts and analyses using:
  • ATLAS (cohort definition, characterization, exploration)
  • ATHENA (vocabulary browsing, concept sets)
  • ACHILLES (data characterization and quality insights)
  • R packages in the OHDSI/DARWIN ecosystem (for cohort execution, characterization, estimation, and related workflows).
• Perform analyses using ATLAS and/or Prometheus or via programmatic workflows in R (and Python where appropriate), depending on study needs and platform patterns.
• Customize and extend OHDSI tools and applications as needed to support project- or portfolio-specific requirements.

• Apply and document observational study designs and epidemiologic concepts for RWE (e.g., descriptive epidemiology, cohort designs, self-controlled designs, comparative approaches as applicable).
• Implement and interpret appropriate statistical methods, including confounding control strategies, time-to-event approaches, sensitivity analyses, and fit-for-purpose evaluations.
• Maintain familiarity with machine learning and statistical concepts to support exploratory modeling, feature engineering, prediction workflows (when relevant), and method selection.

• Develop reusable and maintainable analytic code, prioritizing reproducibility and auditability (clear methods, parameterization, and structured outputs).
• Incorporate AI-assisted workflows (nice to have and can be taught) to improve efficiency in:
  • Code generation/refactoring
  • Validation and QA checks
  • Documentation and study write-ups
  • Exploratory analysis and summary generation while ensuring results remain transparent, traceable, and scientifically defensible.

• Use Git Hub extensively (branching, pull requests, code reviews, issue tracking) to deliver collaborative, production-grade analytics.

• Masters degree in Statistics or related field.
• Demonstrated experience with OMOP CDM and OHDSI tooling, including ATLAS (or Prometheus), ATHENA, and ACHILLES.
• Proficiency in common OHDSI community languages: SQL and R. Python is good too but most open-source tooling is in R.
• Strong understanding of observational study design and epidemiologic concepts, with emphasis on RWE.
• Experience working with healthcare data such as EHR and insurance claims, including healthcare data standards and fit-for-purpose evaluation.
• Solid understanding of clinical terminologies such as SNOMED, ICD-9/10, CPT, HCPCS, READ (and related standard vocabularies used in OMOP).
• Experience with data quality assessment and data validation techniques.
• Proven ability to work in a fast-paced environment, delivering high-quality outputs with strong documentation and collaboration.
• Strong problem-solving ability and comfort working in cross-functional teams.
• Excellent communication skills, with the ability to convey technical concepts to technical and non-technical stakeholders.
• Strong experience developing and maintaining documentation for RWE studies and insight generation.
• Demonstrated willingness and ability to incorporate AI tools into workflows for efficiency and quality.
• Experience supporting federated/network study execution patterns (where applicable).

We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, health benefits to include medical, dental and vision, company match 401k, eligibility to participate in employee stock purchase plan, eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time.

Because certain states and municipalities have regulated paid sick time requirements,…