Senior Programmer Senior Data Scientist/Analyst OMOP

Role Description

Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.

Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.

Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need.

Job Responsibilities

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

Key Responsibilities

• 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.

Qualifications

• 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).

Benefits

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

Salary Range

The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate’s qualifications, skills, competencies, and proficiency for the role.

Additional Information

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.