Senior Data Scientist/Analyst – OMOP

Syneos Health

Sr Data Scientist/Analyst at Syneos Health focusing on OMOP and healthcare data analysis. Collaborates with researchers on complex projects and builds analytical solutions using various tools.

Posted 5/21/2026full-timeRemote • Florida, New York, North Carolina • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

PrometheusPythonSQL

About the role

Key responsibilities & impact

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 GitHub extensively (branching, pull requests, code reviews, issue tracking) to deliver collaborative, production-grade analytics

Requirements

What you’ll need

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
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

Benefits

Comp & perks

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
Flexible paid time off (PTO) and sick time

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

RPythonSQLstatistical methodsdata validation techniquesmachine learningfeature engineeringreproducibilityauditabilityobservational study design

Soft Skills

problem-solvingcollaborationcommunicationdocumentationadaptabilityattention to detailcross-functional teamworktime managementcritical thinkingtransparency

Certifications

Masters degree in Statistics