Remote Real-World Biostatistician – RWE & Safety

Syneos Health/ inVentiv Health Commercial LLC; North Carolina; Remote; USD 81,000 - 145,000; Full time

Benefits offered by this job

Health benefits to include Medical, D…

Job summary

Syneos Health is seeking a Real World Biostatistician with safety experience to support RWE studies across therapeutic areas. You will design and analyze observational studies using EMR and claims data to inform clinical development, HEOR, regulatory strategy, and market access.

The role requires MS/PhD in Biostatistics or related field, 5+ years of RWD/RWE analytics, and proficiency in SAS/R/Python with SQL/OMOP. Remote-based collaboration across US/Canada is encouraged.

Qualifications

• MS/PhD in Biostatistics, Statistics, Epidemiology, or related field
• 5 years of experience in RWD/RWE analytics (industry or equivalent)
• Strong experience with EMR and/or claims data
• Proficiency in healthcare coding systems (e.g., ICD, NDC)
• Programming expertise in SAS, R, or Python
• Working knowledge with SQL logic and OMOP data structures
• Solid understanding of causal inference methods and observational study design
• Sample size and power considerations

Responsibilities

• Design and execute real-world evidence (RWE) studies using EMR and claims data; conduct data specs, SAP and protocol with key research objectives
• Develop and apply robust statistical methodologies, including causal inference methods (e.g., propensity score methods, weighting, matching; GLM or GLMM, MMRM; survival analysis; random forest)
• Trial emulation frameworks
• External control arm development and borrowing strategies
• Perform data analysis using healthcare coding systems (e.g., ICD, NDC)
• Conduct sample size estimation and power calculations for observational and hybrid study designs
• Collaborate cross-functionally with HEOR, Market Access, Regulatory, Clinical Development
• Translate complex analytical results into clear, actionable insights, e.g. powerpoint or study report for decision-making
• Support methodological innovation in RWE, including integration of machine learning approaches where appropriate

Skills

RWE analytics

Observational study design

Causal inference

Data analysis

Cross-functional collaboration

Communication

Education

MS/PhD in Biostatistics or related

Tools

SAS

R

Python

SQL

OMOP data structures

ICD/NDC coding

Job description

Syneos Health is seeking a Real World Biostatistician with safety experience to support RWE studies across therapeutic areas. You will design and analyze observational studies using EMR and claims data to inform clinical development, HEOR, regulatory strategy, and market access.

The role requires MS/PhD in Biostatistics or related field, 5+ years of RWD/RWE analytics, and proficiency in SAS/R/Python with SQL/OMOP. Remote-based collaboration across US/Canada is encouraged.