
10,000+ employees
🧬 Biotechnology
💊 Pharmaceuticals
⚕️ Healthcare Insurance
Biotechnology • Pharmaceuticals • Healthcare Insurance
Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. They translate unique clinical, medical affairs, and commercial insights into outcomes to address modern market realities. By utilizing advanced technologies and insights, Syneos Health collaborates with clients to speed the delivery of important therapies to patients worldwide, offering services that span the entire clinical-to-commercial spectrum.
🔥 2 hours ago
🦌 Connecticut, District of Columbia, +2 more states – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧪 Clinical Research
🦅 H1B Visa Sponsor
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10,000+ employees
🧬 Biotechnology
💊 Pharmaceuticals
⚕️ Healthcare Insurance
Biotechnology • Pharmaceuticals • Healthcare Insurance
Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. They translate unique clinical, medical affairs, and commercial insights into outcomes to address modern market realities. By utilizing advanced technologies and insights, Syneos Health collaborates with clients to speed the delivery of important therapies to patients worldwide, offering services that span the entire clinical-to-commercial spectrum.
• 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 • Perform data analysis using healthcare coding systems (e.g., ICD, NDC) • Collaborate cross-functionally with stakeholders across: HEOR, Market Access, Regulatory, Clinical Development • Translate complex analytical results into clear, actionable insights. • Support methodological innovation in RWE.
• 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.
• 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.
Apply Now🔥 7 hours ago
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🦅 H1B Visa Sponsor
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