# Real World Biostatistician - Safety Experience

**Company**: Syneos Health
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $80,600.00 - $145,000.00
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://syneoshealth.wd12.myworkdayjobs.com/en-US/Syneos_Health_External_Site/job/USA-NC-Remote/Real-World-Biostatistician---Safety-Experience--hiring-in-US-and-Canada-_25110957-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_70530cd1-1a5

## 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

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Source: [Apply at syneoshealth.wd12.myworkdayjobs.com](https://syneoshealth.wd12.myworkdayjobs.com/en-US/Syneos_Health_External_Site/job/USA-NC-Remote/Real-World-Biostatistician---Safety-Experience--hiring-in-US-and-Canada-_25110957-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)