Senior Biostatistician – Biomarker – AI, Neural Networks, Deep Learning

🕒 October 7

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🧪 Clinical Research

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

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Syneos Health

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Collaborate with representatives from other functions to plan, execute, and analyze biomarker aspects, including genomics, of clinical or biomarker studies • Serve as project biomarker statistician under the guidance of an experienced statistician • Develop Biomarker Evaluation Plans for studies • Provide statistical input in clinical development discussions and apply AI and ML approaches • Organize and coordinate statistical activities for biomarker research and development • Design and conduct advanced genomics and biomarker data analyses • Perform statistical programming and design complex analysis algorithms • Handle RNA, Olink, and other biomarker data • 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 assessments

🎯 Requirements

• PhD or MSc in Biostatistics, Statistics or Mathematics, or related field • Strong communication and interpersonal skills • Ability to work independently as well as collaboratively • Minimal supervision required • Proven experience developing and deploying deep learning models with PyTorch, TensorFlow or Keras • Solid understanding of ML algorithms and statistical methods, including survival analysis and batch-effect handling, and their application in pharma/biomarker discovery • Knowledge of explainable AI, including SHAP, attention attribution, and counterfactuals • Knowledge of uncertainty quantification for biomarker interpretability • Previous experience independently leading a biomarker study • Previous clinical trial experience preferred • Industry experience preferred • Strong knowledge of biomarker evaluation, especially in immunology and infections, type I diabetes, relevant parameters, and underlying biology • Good knowledge of statistical programming languages including R, Bioconductor, relevant R packages for genetic data, and Python • Experience analyzing high-dimensional data • Equivalent experience, skills, and/or education may be considered

🏖️ Benefits

• 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