Real World Biostatistician - RWA CMH experience (hiring in Canada and US)

Posted 14 Days Ago
Be an Early Applicant
Hiring Remotely in CAN
Remote
Senior level
Healthtech • Biotech • Pharmaceutical
The Role
Designs, analyzes, and interprets real-world evidence studies using EMR and claims data. Develops protocols, data specifications, statistical analysis plans, cohort definitions, causal inference methods, trial emulations, external control arms, and sample size calculations. Collaborates with HEOR, market access, regulatory, and clinical development teams, translating findings into reports and presentations. Requires strong RWE, observational study, healthcare coding, statistical programming, SQL, OMOP, and RWE CMH expertise.
Summary Generated by Built In
Real World Biostatistician - RWA CMH experience (hiring in Canada and US)

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.
 
Discover what your 25,000 future colleagues already know:
 
Why Syneos Health
• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life. 
• We are continuously building the company we all want to work for and our customers want to work with. Why? 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. 

Job Responsibilities

Job Description

Biostatistician – Real-World Evidence (RWA) 

Role Overview 

We are seeking a biostatistician with strong experience in real-world data (RWD) with observational study design and safety study experience in addition to RWA CMH experience. This role will 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. 

Key Responsibilities 

  • Design and execute real-world evidence (RWA) 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 RWA/RWD 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 

  • Some examples: Independently write cohort definitions in SQL logic; Debug data issues e.g., time zero alignment, exposure gaps; Understand concept mapping (ICD ↔ SNOMED ↔ RxNorm); Translate statistical estimand → censoring rule and data extraction logic 

  • RWE CMH Experience

Preferred Qualifications 

  • Ph.D. strongly preferred 

  • Experience in one or more therapeutic areas: 

  • Diabetes 

  • Cardiovascular disease 

  • Metabolic disorders 

  • 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 

  • Advanced (nice-to-have, not always required) 

  • Build reusable cohort pipelines 

  • Optimize queries for large-scale databases 

  • Work across multiple CDMs (OMOP, Sentinel, PCORnet) 

Core Competencies 

  • Analytical rigor and methodological depth 

  • Cross-functional collaboration 

  • Ability to operate with agility across diverse projects and therapeutic areas 

  • Clear and effective scientific communication 

  

Get to know Syneos Health

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.

No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

http://www.syneoshealth.com

Additional Information

Tasks, duties, and responsibilities as listed in this job description are not exhaustive.  The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description.  The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above.   Further, nothing contained herein should be construed to create an employment contract.  Occasionally, required skills/experiences for jobs are expressed in brief terms.  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.

Skills Required

  • M.S. or Ph.D. in Biostatistics, Statistics, Epidemiology, or a related field
  • At least 5 years of experience in RWA/RWD analytics in industry or equivalent
  • Strong experience with EMR and/or claims data
  • Proficiency in at least one of SAS, R, or Python
  • Working knowledge of SQL logic and OMOP data structures
  • Proficiency with healthcare coding systems such as ICD and NDC
  • Understanding of causal inference methods, observational study design, sample size estimation, and power calculations
  • Experience with RWE CMH
  • Ph.D. in a relevant field
  • Experience in diabetes, cardiovascular disease, or metabolic disorders
  • Familiarity with trial emulation, external control borrowing, hybrid designs, or machine learning applied to RWD
  • Ability to work across multiple therapeutic areas and communicate effectively with stakeholders
  • Experience building reusable cohort pipelines and optimizing large-scale database queries
  • Experience with multiple common data models, including OMOP, Sentinel, or PCORnet

Syneos Health Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Syneos Health and has not been reviewed or approved by Syneos Health.

  • Leave & Time Off Breadth Unlimited PTO for managers and flexible time‑off options make time away accessible and support work‑life balance. Day‑to‑day usability can depend on team and workload, but the policy breadth is a clear strength.
  • Retirement Support A 401(k) with company match is frequently highlighted as a strong component of the package. Despite vesting details to confirm, the retirement offering adds meaningful long‑term value.
  • Parental & Family Support Partnership with Maven provides fertility, adoption support, parental‑leave guidance, and women’s health resources across multiple regions. This family‑building support enhances the overall total rewards appeal.

Syneos Health Insights

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The Company
HQ: Raleigh, NC
22,543 Employees

What We Do

Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. We bring together a talented team of professionals, who work across more than 110 countries, with a deep understanding of patient and physician behaviors and market dynamics. Together we share insights, use the latest technologies and apply advanced business practices to speed our customers’ delivery of important therapies to patients. Syneos Health supports a diverse, equitable and inclusive culture that cares for colleagues, customers, patients, communities and the environment.

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