
10,000+ employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
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.
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10,000+ employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
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.
• Collaborate with cross-functional representatives to plan, execute and analyze biomarker and genomics aspects of clinical or biomarker studies • Develop Biomarker Evaluation Plans and ensure consistency across projects • Provide statistical input in clinical development discussions, including AI and ML approaches • Organize and coordinate statistical activities for biomarker research and development • Design and conduct advanced genomics and biomarker data analyses, including statistical programming and complex analysis algorithms • Produce accurate Biomarker Evaluation Reports and interpret results • Independently address routine and complex statistical questions, modeling and tasks • Develop and implement standard processes for routine biomarker assessment analyses
• PhD or MSc in Biostatistics, Statistics or Mathematics, or related field • Strong communication and interpersonal skills • Ability to work independently and collaboratively • Minimal supervision required • Usage of AI and ML approaches • Previous experience independently leading a biomarker study is mandatory • Previous clinical trial experience; industry experience is preferred • Strong knowledge of biomarker evaluation, especially immunology and infections, type I diabetes, relevant parameters and underlying biology • Good knowledge of statistical programming languages including R, Bioconductor and other relevant R packages for genetic data, and Python • Analysis of high-dimensional data • Experience handling RNA, Olink and other biomarker data
• Career development and progression • Supportive and engaged line management • Technical and therapeutic area training • Peer recognition • Total rewards program • Inclusive culture • Reasonable accommodations when appropriate
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