Sr Biostatistician-Sr Data Scientist​/Analyst; US and UK

Sr Biostatistician—Senior Data Scientist/Analyst (US & UK Only)

Location:

USA (NY Remote) or UK – no sponsorship required.

Lead development of analysis specifications, develop programs, and conduct analyses while providing technical guidance for Real World Data (RWD) research. Ensure quality standards and methodological rigor across projects through development of patient cohorts and validation of key variables.

• Must be located in the United States or United Kingdom; no sponsorship.
• Leadership of RWD analysis strategy and execution.
• Lead development of technical specifications and study methodology.
• Statistical programming proficiency (R, SAS, SQL, Python).
• Oversight of quality control processes.
• Cross‑functional team collaboration.
• Management of project timelines and deliverables.
• Development of best practices and standards.
• Demonstrated ability to communicate complex analyses to non‑technical stakeholders.
• Technical Expertise:
  • Proficiency in SAS or R & SQL; expected to program independently, create packages, take requirements, write specifications, and work with complex data structures and study designs.
  • Experience with advanced programming – propensity score analysis, lines of therapy, Sankey diagrams, machine learning.
  • Experience with propensity score matching.
  • Experience applying machine‑learning methods (LASSO, decision trees, random forests, XGBoost) with RWD.
• Experience with OHDSI or DARWIN toolsets in R.
• Subject‑matter expertise: epidemiology/outcomes research; study design and execution; biomarker/genomic data sources.
• Experience with healthcare databases: claims (Optum, Market Scan, Pharmetrics+, Health Verity, CPRD) and electronic health records (IQVIA, Flatiron, Concert AI, TriNetX); familiarity with OMOP CDM or similar common data model framework; knowledge of U.S. and international data sources.
• For clinical trial analysis: experience with psychometric validation.
• Project implementation capability – statistical analysis plan development, protocol/manuscript development, study design and execution, cross‑functional collaboration, tracking and updating work in software (Jira or Azure Dev Ops).

• Master’s degree in Biostatistics, Epidemiology, Data Science, Bioinformatics, or related field with 5–8 years of post‑graduation experience; or PhD with 3+ years post‑graduation experience.
• Advanced expertise in statistical programming and observational research methods.
• Comprehensive experience with healthcare data sources and analysis.
  
  Proven ability to lead projects autonomously in a matrix environment.
• Track record of managing priorities and performance targets.

• Oncology Specific:
  Experience in oncology observational studies, Flatiron and Concert AI, understanding of programming logic in lines of therapy.
• Molecular Epidemiology Specific:
  • Cloud‑based SQL desirable.
  • Experience with clinico‑genomic multi‑modal data (e.g., Tempus AI) or population biobank data (UK Biobank).
  • Comfort multitasking and working in a matrix environment.
  • Tableau or Power BI or other graphics tool is a plus.
• HEOR Specific:
  • SAS/SQL required; additional experience with R beneficial.
  • Experience with health economics and outcomes research methodologies, including cost analysis, burden of illness studies, and comparative effectiveness research.

Base salary range varies based on qualifications and experience. The position may include company car or allowance, health benefits (medical, dental, vision), 401(k) match, employee stock purchase plan, commissions/bonuses, and flexible PTO and sick time. Eligibility for paid sick time may vary by location.

Equal Opportunity Employer

Syneos Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, marital status, ethnicity, national origin, sex, gender identity, sexual orientation, veteran status, disability or any other legally protected status. If you are an individual with a disability requiring reasonable accommodation, please contact