Research - Biostatistician

Real World Biostatistician - RWE CMH experience
Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.
Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.
Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need.
technical and therapeutic area training; We are committed to building an inclusive culture – where you can authentically be yourself. We are continuously building the company we all want to work for and our customers want to work with. Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.
Biostatistician – Real-World Evidence (RWE)
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 CMH experience. This role will focus on the design, analysis, and interpretation of observational studies using EMR and claims data to inform: clinical development, HEOR, regulatory strategy, and market access.

Design and execute real-world evidence (RWE) studies using EMR and claims data; Conducting data specs, SAP and protocol with key research objectives

• survival analysis; Perform data analysis using healthcare coding systems (e.g., Market Access
• Regulatory
• D. in Biostatistics, Statistics, Epidemiology, or related field
• ≥Strong experience with EMR and/or claims data
• Proficiency in healthcare coding systems (e.g., Programming expertise in at least one of: SAS, R, or Python
• Working knowledge with SQL logic and OMOP data structures
• Independently write cohort definitions in SQL logic; Debug data issues e.g., Translate statistical estimand → censoring rule and data extraction logic

Diabetes

• Build reusable cohort pipelines
• Optimize queries for large-scale databases
• Ability to operate with agility across diverse projects and therapeutic areas
• Clear and effective scientific communication

Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

Further, nothing contained herein should be construed to create an employment contract. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
Biostatistician – Real-World Evidence (RWE)
We are seeking a biostatistician with strong experience in real-world data (RWD), observational study design, and RWE CMH to support evidence generation across multiple therapeutic areas. This role will focus on the design, analysis, and interpretation of observational studies using EMR and claims data to inform: clinical development, HEOR, regulatory strategy, and market access.
Design and execute real-world evidence (RWE) studies using EMR and claims data; Conducting data specs, SAP and protocol with key research objectives
survival analysis; Perform data analysis using healthcare coding systems (e.g., Market Access
Regulatory
D. in Biostatistics, Statistics, Epidemiology, or related field
≥Strong experience with EMR and/or claims data
Proficiency in healthcare coding systems (e.g., Programming expertise in at least one of: SAS, R, or Python
Working knowledge with SQL logic and OMOP data structures
Independently write cohort definitions in SQL logic; Debug data issues e.g., Translate statistical estimand → censoring rule and data extraction logic
Diabetes
Build reusable cohort pipelines
Optimize queries for large-scale databases
Ability to operate with agility across diverse projects and therapeutic areas
Clear and effective scientific communication