Senior Biostatistician / Senior Data Scientist / Analyst – Real World Data (US & UK Only)
Location: Morrisville, North Carolina, United States (Open to candidates based in the US or UK only)
Job ID: 25105603-OTHLOC-1500-2DFL-2DR
Company: Syneos Health
About Syneos Health
Syneos Health is a globally recognized, fully integrated biopharmaceutical solutions organization dedicated to accelerating clinical development, medical affairs, and commercialization outcomes. With a workforce of approximately 29,000 professionals across 110+ countries, the company partners with leading pharmaceutical, biotechnology, and healthcare organizations to deliver evidence-based, patient-centric solutions.
Over the past five years, Syneos Health has supported 94% of all novel FDA-approved drugs and 95% of EMA-authorized products, contributing to more than 200 studies across 73,000 sites and over 675,000 clinical trial participants worldwide.
Role Overview
Syneos Health is seeking an experienced Senior Biostatistician / Senior Data Scientist / Analyst to lead advanced Real-World Data (RWD) and Real-World Evidence (RWE) initiatives. This position requires deep expertise in biostatistics, observational research methodologies, advanced statistical programming, and large healthcare database analytics.
The selected candidate will be responsible for leading RWD analysis strategy, developing statistical specifications, executing complex programming tasks, and ensuring methodological rigor across cross-functional projects.
This opportunity is strictly open to candidates located in the United States or the United Kingdom. Visa sponsorship is not available.
Experience Required
Master’s degree in Biostatistics, Epidemiology, Data Science, Bioinformatics, or a related quantitative discipline with 5–8 years of relevant post-graduate experience
OR
PhD in a relevant field with a minimum of 3 years of post-doctoral industry experience
Additionally required:
Demonstrated leadership in Real-World Data analysis strategy and execution
Advanced expertise in statistical programming and observational research design
Proven experience managing projects independently in matrix environments
Strong record of delivering projects within defined timelines and quality standards
Key Responsibilities
Lead statistical analysis strategy for Real-World Evidence and healthcare analytics studies
Develop and review statistical analysis plans (SAPs) and technical specifications
Create, validate, and manage patient cohorts and derived study variables
Perform advanced statistical programming using large-scale healthcare datasets
Ensure quality control, reproducibility, and methodological rigor
Contribute to protocol development, manuscript drafting, and study execution
Collaborate across epidemiology, HEOR, clinical, and data science teams
Track deliverables using project management tools such as Jira or Azure DevOps
Present complex analytical findings to both technical and non-technical stakeholders
Technical and Programming Expertise
Core Programming Skills:
Advanced proficiency in SAS, R, and SQL (mandatory)
Python experience preferred
Ability to independently develop reusable code, create packages, and manage complex study designs
Advanced Analytical Methods:
Propensity score analysis and matching
Causal inference methodologies
Lines of therapy programming logic
Sankey diagram generation
Machine learning techniques including LASSO, Decision Trees, Random Forest, and XGBoost
Application of machine learning models to Real-World Data
Data Standards and Platforms:
Experience with OHDSI or DARWIN toolsets in R
Familiarity with OMOP Common Data Model (CDM) or similar frameworks
Experience in cloud-based SQL environments (preferred)
Knowledge of data visualization tools such as Tableau or Power BI (advantageous)
Healthcare Data and Domain Expertise
Hands-on experience with major healthcare data sources is required, including:
Claims Databases:
Optum
MarketScan
Pharmetrics+
HealthVerity
CPRD
Electronic Health Records (EHR):
IQVIA
Flatiron Health
ConcertAI
TriNetX
Additional subject matter expertise:
Epidemiology and outcomes research
Study design and real-world evidence execution
Biomarker and genomic data analysis
Knowledge of US and international healthcare datasets
Psychometric validation experience for clinical trial analyses (where applicable)
Preferred Specialized Experience
Oncology:
Oncology observational research
Experience with Flatiron Health and ConcertAI datasets
Programming logic for lines of therapy
Molecular Epidemiology:
Clinico-genomic multimodal datasets (e.g., Tempus AI)
Population biobank data (e.g., UK Biobank)
Ability to work in high-complexity, matrixed environments
Health Economics and Outcomes Research (HEOR):
Cost analysis and burden of illness studies
Comparative effectiveness research
SAS/SQL required; R experience beneficial
Compensation and Benefits
Syneos Health offers a competitive compensation package aligned with experience and market standards. Benefits may include:
Medical, Dental, and Vision coverage
401(k) with company match
Employee Stock Purchase Plan
Performance-based bonus opportunities
Flexible paid time off and sick leave
Company car or car allowance (role dependent)
Salary will be determined based on qualifications, technical expertise, and geographic location in compliance with applicable regulations.
Equal Opportunity Employer
Syneos Health is committed to equal employment opportunity and complies with all relevant federal, state, and international employment regulations, including the Americans with Disabilities Act (ADA) and EU Equality Directives. Reasonable accommodations are provided where appropriate.
This Senior Biostatistician / Senior Data Scientist opportunity is ideal for experienced professionals seeking leadership roles in Real-World Evidence, biostatistics, healthcare analytics, and advanced statistical modeling within a global biopharmaceutical environment.
Qualified US and UK-based professionals are encouraged to apply through The Pharma Daily to advance their careers in biostatistics and real-world data science.
Uttar Pradesh :
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Delhi | India | New Delhi | PAN-India |Assam :
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Hajipur | Patna |Kerala :
Kannur | Kochi | Malappuram | Thiruvananthapuram | Trivandrum |Pondicherry (Puducherry) :
Pondicherry (Puducherry) |Jharkhand :
Ranchi |Sikkim :
Rangpo |India :
Siliguri |Illinois :
Abbott Park | Bloomingdale | Champaign | Chicago | Deerfield | Glenview | Lake Forest | Lombard | Naperville | Norridge | Park RIdge | Round Lake |Maryland :
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Anchorage | Barrow | Bethel | Juneau | Sitka | Wrangell |Massachusetts :
Andover | Billerica | Boston | Cambridge | Devens | Lexington | Massachusetts | Medford and Somerville | Rockland |Wisconsin :
Appleton | Kenosha | Pleasant Prairie | Portage | Waukesha |United states :
Arizona | Buffalo Grove | Clayton | Downers Grove | fairmont | Georgia | Keene | Michigan | Mt. Pleasant | New Jersy | OH | Piedmont | Salisbury | United States | Whitesboro | Winston-Salem |Georgia :
Atlanta | Augusta | Rome |Maine :
Bangor | Brewer |New Jersey :
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Chandler | Kingman | Lake Havasu City | Mesa | Peridot | Phoenix | Surprise | Tempe | Tucson | Yuma |South Carolina :
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Chengdu | Garden city | Kansas City | Lawrence | McPherson |North Carolina :
Concord | Lumberton | North Carolina |Michigan :
Detroit | Houghton Lake | Macomb | Southfield |North Dakota :
Dickinson |Minnesota :
Duluth | Eden Prairie | Fridley | Hibbing | Maple Grove | Minneapolis and St. Paul, Minnesota. | Minnetonka | St.Paul |Kentucky :
Edgewood | Ft MItchell | Louisville | Shelbyville |Arkansas :
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Frank Scottile Blvd |Missouri :
Fulton | Milan | St. Louis |United States :
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Budapest |BULGARIA :
Bulgaria | Vedant |Denmark :
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Europe | France | Latvia | Lendava | Leuven | Poland | Slovenia | Spain |Finland :
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China | Quarry Bay |Liaoning :
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Wuhan |Capital of Netherland :
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Harrogate |South Yorkshire :
Sheffield |Oxfordshire :
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Be'Er Sheva | Tel Aviv | Yavne | Kfar Saba | Netanya |Remote :
Medan | Belgium | Minnesota | Nairobi | Green Way | Remote - Europe | Hammond | Regulatory Labeling Manager (NA and LATAM Only) | Hungary | Springville | Bishop | Zaragoza | Xzagreb | Victoria | Switzerland | Tulsa | McFarland | Remote - Middle East | Lousiana | Melbourne | Riga | Leinster | Remote | Lenexa | Remote - South America (Latin Americal) | Thailand | Bountiful | French | Castlebar | Texas | Remote - Africa | Ireland | Manipal | Blue Bell | Faridabad | Remote, USA | Slovakia |Republic of Colombia :
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Cairo |Mexico :
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King Abdullah Economic City | Riyadh | Jeddah | Najran | Rabigh | Khulais |Kuala Lumpur :
Kuala Lumpur |Kyiv Oblast :
Kyiv |Lima Region :
Lima |France :
Lyon | Paris |South Africa :
Midrand | South Africa |Nišava District :
Niš |Bohemia :
Prague |Chile :
Santiago |Bosnia and Herzegovina :
Sarajevo |Singapore :
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