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

Real World Biostatistician - RWE Cardiometabolic experience (hiring in Canada and US) PhD mandatory Updated: September 30, 2026 Location: Remote, ON, Canada Job ID: 25112122 Description Real World Biostatistician - RWE Cardiometabolic experience (hiring in Canada and US) PhD mandatory 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. 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. 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. Job Responsibilities 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 communicationand stakeholder engagement skills Advanced (nice-to-have, not alwaysrequired) Build reusable cohort pipelines Optimizequeries 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. 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. Summary Job Description SummaryBiostatistician – Real-World Data (RWA)Role OverviewWe 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.Key ResponsibilitiesDesign and execute real-world evidence (RWE) studies using EMR and claims data; Conducting data specs, SAP and protocol with key research objectivesDevelop 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 frameworksExternal control arm development and borrowing strategiesPerform data analysis using healthcare coding systems (e.g., ICD, NDC)Conduct sample size estimation and power calculations for observational and hybrid study designsCollaborate cross-functionally with stakeholders across:HEORMarket AccessRegulatoryClinical DevelopmentTranslate complex analytical results into clear, actionable insights, e.g. powerpoint or study report for decision-makingSupport methodological innovation in RWE, including integration of machine learning approaches where appropriateShapeRequired QualificationsM.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 dataProficiency in healthcare coding systems (e.g., ICD, NDC)Programming expertise in at least one of: SAS, R, or PythonWorking knowledge with SQL logic and OMOP data structuresSolid understanding of:Causal inference methodsObservational study designSample size and power considerationsSome 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 logicShapePreferred QualificationsPh.D. strongly preferredExperience in one or more therapeutic areas:DiabetesCardiovascular diseaseMetabolic disordersFamiliarity with:Trial emulation methodologiesExternal control borrowing / hybrid designsBasic machine learning methods applied to RWDDemonstrated ability to work across multiple therapeutic areas (TAs) in a fast-paced environmentStrong communication and stakeholder engagement skillsRWE CMH ExperienceAdvanced (nice-to-have, not always required)Build reusable cohort pipelinesOptimize queries for large-scale databasesWork across multiple CDMs (OMOP, Sentinel, PCORnet)ShapeCore CompetenciesAnalytical rigor and methodological depthCross-functional collaborationAbility to operate with agility across diverse projects and therapeutic areasClear and effective scientific communication Discover what our more than 29,000 employees already know: work here matters everywhere. We work hard,and smart, all in the name of getting much-needed therapies to thosewho need them most. A career with Syneos Health means your everyday work improvespatients’ lives around the world. Selecting us as an employer secures a career inwhich you’re guaranteed to: 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. Together we share insights, use the latest technologies and apply advanced business practices to speed our customers’ delivery of important therapies to patients. #J-18808-Ljbffr Syneos Health, Inc.