HEOR Junior Statistician – Contract
Location: Remote, India
Job ID: 12966
Employment Type: 6-Month Fixed Term Contract
Last Updated: January 28, 2026
About the Role
Syneos Health is seeking a driven and analytical HEOR Junior Statistician to support our HEOR and Real-World Evidence (RWE) analytics team. This role focuses on generating high-quality real-world evidence and analytical insights for healthcare and life sciences clients. The successful candidate will work on retrospective database studies, statistical analyses, and evidence generation to support payer, medical, and commercial decision-making.
Key Responsibilities
Data Analysis & Statistical Modeling
Conduct data extraction, cleaning, manipulation, and analysis using SAS and R to produce high-quality statistical outputs
Analyze large healthcare datasets, including U.S. claims and European EMR databases (e.g., CPRD, SNDS)
Support design and execution of retrospective observational studies, including cohort creation, variable definition, and confounding adjustment
Apply epidemiologic and statistical methods such as multivariable regression, propensity scoring, and sensitivity analyses
Generate structured analytical outputs including tables, figures, and summaries for manuscripts, reports, and presentations
Evidence Generation & Reporting
Contribute to the preparation of RWE study reports, manuscripts, and presentations
Translate complex analytical results into clear, actionable insights for cross-functional teams including HEOR, medical, and commercial stakeholders
Collaborate with team members to ensure project milestones are met on time and within scope
Team Collaboration & Capability Building
Actively contribute to discussions on methodology and analytical approaches
Support internal process improvement, coding standardization, and capability-building initiatives within the HEOR analytics team
Required Qualifications & Experience
Master’s degree or higher in Biostatistics, Data Science, Epidemiology, Health Economics, or related field
2-3 years of relevant experience in HEOR or RWE analytics, ideally within consulting or the pharmaceutical industry
Proficiency in SAS and R for data manipulation, modeling, and visualization
Experience analyzing U.S. claims and EU EMR datasets such as CPRD or SNDS
Strong written and verbal communication skills and ability to work collaboratively in cross-functional teams
Proven ability to manage multiple deliverables in a fast-paced consulting environment
Preferred Qualifications
Hands-on experience in RWE database analyses and statistical modeling projects
Familiarity with HEOR study design and payer evidence generation
Understanding of real-world evidence regulatory and methodological requirements
Why Syneos Health?
At Syneos Health, you will join a global team driving impactful evidence generation and analytics for the life sciences industry. This role provides the opportunity to:
Collaborate across HEOR, clinical, and commercial functions to support evidence-based decision-making
Work on real-world evidence studies that influence payers, medical teams, and patient access strategies
Grow your career in a dynamic, consulting-focused environment with global exposure
We are committed to fostering a diverse, inclusive, and authentic workplace, and we encourage candidates with transferable skills to apply.
Key Benefits
Competitive compensation for contract duration
Remote work with global project exposure
Opportunity to work on impactful HEOR and RWE projects
Professional development and cross-functional learning opportunities
Apply now to contribute to high-impact HEOR and RWE analytics projects with Syneos Health, supporting global client strategies and improving patient access to innovative therapies.
This version is SEO-optimized with key terms like:
HEOR, RWE, real-world evidence, SAS, R, observational studies, U.S. claims, EU EMR, CPRD, SNDS, health economics, payer evidence
It’s also GEO-optimized for India, emphasizing remote work and global client exposure.
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Peru | Argentina |Brazil :
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