Senior Data Scientist/Analyst – OMOP

🕒 May 21

🐊 Florida, New York, +1 more states – Remote

🐊 Florida – Remote 🗽 New York – Remote 🌲 North Carolina – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Syneos Health

WebsiteLinkedInAll Job Openings

10,000+ employees

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Biotechnology • Pharmaceuticals • Healthcare Insurance

Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. They translate unique clinical, medical affairs, and commercial insights into outcomes to address modern market realities. By utilizing advanced technologies and insights, Syneos Health collaborates with clients to speed the delivery of important therapies to patients worldwide, offering services that span the entire clinical-to-commercial spectrum.

📋 Description

• 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

• 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

• 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