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From the employer's careers site First seen 26 Oct 2026

Real World Biostatistician - Safety Experience

Syneos Health Remote senior full-time

Salary

$80,600 - $145,000 per year

Apply on Syneos Health

Description

We are seeking a biostatistician with strong experience in real-world data (RWD) with observational study design and safety study experience in addition to RWE Safety experience.

Job Responsibilities

  • Design and execute real-world evidence (RWE) studies using EMR and claims data; Conducting 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 stakeholders across:
  • 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

Required Qualifications

  • M.S. or Ph.D. 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 at least one of: SAS, R, or Python
  • Working knowledge with SQL logic and OMOP data structures
  • Solid understanding of:
  • Causal inference methods
  • Observational study design
  • Sample size and power considerations

Preferred Qualifications

  • Ph.D. strongly preferred
  • Familiarity with:
  • Trial emulation methodologies
  • External control borrowing / hybrid designs
  • Basic machine learning methods applied to RWD
  • Demonstrated ability to work across multiple therapeutic areas (TAs) in a fast-paced environment
  • Strong communication and stakeholder engagement skills

Benefits

  • Company car or car allowance
  • Health benefits to include Medical, Dental and Vision
  • Company match 401k
  • Eligibility to participate in Employee Stock Purchase Plan
  • Eligibility to earn commissions/bonus based on company and individual performance
  • Flexible paid time off (PTO) and sick time

Skills

Required

  • Biostatistics
  • Statistics
  • Epidemiology
  • RWD/RWE analytics
  • EMR
  • claims data
  • healthcare coding systems
  • SQL
  • OMOP
  • SAS
  • R
  • Python

Nice to have

  • Trial emulation methodologies
  • External control borrowing
  • Machine learning
  • Therapeutic areas
  • Communication
Apply on Syneos Health