Senior Biostatistician / Senior Data Scientist / Analyst (US & UK Only)
Location: Morrisville, NC, United States (US & UK-based candidates only)
Job ID: 25105603-OTHLOC-1500-2DCA-2DR
Company: Syneos Health
About the Company
Syneos Health is a fully integrated biopharmaceutical solutions organization focused on accelerating customer success across clinical development, medical affairs, and commercialization. With operations in over 110 countries and a workforce of approximately 29,000 professionals, the organization partners with biopharma companies to streamline development, optimize evidence generation, and accelerate therapy delivery worldwide.
Over the past five years, Syneos Health has contributed to 94% of all novel FDA-approved drugs and 95% of EMA-authorized products, supporting more than 200 studies across 73,000 sites and over 675,000 clinical trial patients globally.
Job Overview
Syneos Health is hiring a Senior Biostatistician / Senior Data Scientist / Analyst to lead Real-World Data (RWD) research initiatives. This role requires advanced expertise in statistical programming, observational research methods, and healthcare data analytics. The selected candidate will drive analysis strategy, develop technical specifications, conduct complex statistical analyses, and ensure methodological rigor across projects.
This opportunity is open exclusively to candidates located in the United States or the United Kingdom. Sponsorship is not available.
Experience Required
Master’s degree in Biostatistics, Epidemiology, Data Science, Bioinformatics, or a related field with 5–8 years of relevant post-graduate experience
OR
PhD in a relevant discipline with 3+ years of post-graduate experience
Additional requirements include:
Advanced expertise in statistical programming and observational research methods
Proven leadership in Real-World Data (RWD) analysis strategy and execution
Demonstrated experience managing projects in matrix environments
Strong track record of meeting timelines and performance targets
Key Responsibilities
Lead development of statistical analysis strategies for Real-World Data research
Design and author technical specifications and study methodologies
Develop and validate patient cohorts and key study variables
Conduct advanced statistical analyses ensuring methodological rigor
Oversee quality control and data validation processes
Collaborate with cross-functional teams including epidemiology, HEOR, and clinical stakeholders
Develop best practices, standards, and reusable programming packages
Communicate complex statistical findings to non-technical stakeholders
Manage project timelines, deliverables, and workflow tracking tools (Jira or ADO)
Contribute to protocol development, statistical analysis plans, and manuscript preparation
Technical Skills and Expertise
Statistical Programming:
Advanced proficiency in SAS, R, and SQL (mandatory)
Python proficiency preferred
Ability to independently develop code, create reusable packages, and handle complex data structures
Advanced Analytical Methods:
Propensity score matching and advanced causal inference methods
Lines of therapy programming logic
Sankey diagram generation
Machine learning applications including LASSO, Decision Trees, Random Forest, and XGBoost
Experience applying ML techniques to Real-World Data
Data Platforms & Tools:
Experience with OHDSI or DARWIN toolsets in R
Familiarity with OMOP Common Data Model (CDM) or similar frameworks
Cloud-based SQL experience preferred
Tableau, Power BI, or other visualization tools (advantageous)
Healthcare Data Expertise
Experience working with large healthcare databases including:
Claims Data Sources:
Optum
MarketScan
Pharmetrics+
HealthVerity
CPRD
Electronic Health Records (EHR):
IQVIA
Flatiron Health
ConcertAI
TriNetX
Candidates should demonstrate strong understanding of:
Epidemiology and outcomes research
Study design and execution
Biomarker and genomic data sources
US and international healthcare datasets
Specialized Domain Experience (Preferred)
Oncology:
Oncology observational studies
Flatiron and ConcertAI platforms
Programming logic for lines of therapy
Molecular Epidemiology:
Clinico-genomic multi-modal datasets (e.g., Tempus AI)
Population biobank datasets (e.g., UK Biobank)
Ability to multitask in matrix environments
Health Economics and Outcomes Research (HEOR):
Cost analysis
Burden of illness studies
Comparative effectiveness research
SAS/SQL required; R preferred
Benefits and Compensation
Syneos Health offers a comprehensive total rewards package designed to support professional growth and work-life balance. Benefits may include:
Medical, Dental, and Vision insurance
401(k) with company match
Employee Stock Purchase Plan eligibility
Performance-based bonus opportunities
Flexible paid time off (PTO) and sick leave
Company car or car allowance (role-dependent)
Salary will be determined based on qualifications, skills, competencies, and location in accordance with applicable regulations.
Equal Opportunity and Compliance
Syneos Health is committed to equal opportunity employment and complies with all applicable federal, state, and international employment legislation, including the Americans with Disabilities Act (ADA) and EU Equality Directives. Reasonable accommodations are provided where appropriate.
This Senior Biostatistician / Senior Data Scientist role is ideal for experienced professionals seeking leadership opportunities in Real-World Evidence, healthcare analytics, and advanced statistical modeling within a global biopharmaceutical environment.
Apply now to explore career opportunities in biostatistics, RWD analytics, and clinical data science with Syneos Health.
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