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

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Collaborate with representatives from various functions to strategize, implement, and evaluate biomarker components, including genomics, of clinical or biomarker studies.

• Act as the project biomarker statistician under the mentorship of a seasoned statistician.

• Create Biomarker Evaluation Plans for studies.

• Contribute statistical insights in clinical development discussions and utilize AI and ML methodologies.

• Organize and oversee statistical operations for biomarker research and development.

• Design and perform advanced analyses of genomics and biomarker data.

• Execute statistical programming and develop intricate analysis algorithms.

• Manage RNA, Olink, and additional biomarker datasets.

• Generate precise Biomarker Evaluation Reports and interpret the findings.

• Proactively address both routine and complex statistical inquiries, modeling, and tasks.

• Establish and apply standardized procedures for routine biomarker evaluations.

⛳️ Requirements

• PhD or MSc in Biostatistics, Statistics, Mathematics, or a related discipline.

• Exceptional communication and interpersonal abilities.

• Capacity to work autonomously as well as collaboratively.

• Minimal supervision needed.

• Proven track record in developing and implementing deep learning models using PyTorch, TensorFlow, or Keras.

• Robust understanding of ML algorithms and statistical techniques, including survival analysis and batch-effect correction, and their use in pharmaceutical or biomarker discovery.

• Familiarity with explainable AI concepts, including SHAP, attention attribution, and counterfactuals.

• Knowledge of uncertainty quantification for enhancing biomarker interpretability.

• Prior experience in independently leading a biomarker study.

• Previous clinical trial exposure is preferred.

• Industry experience is preferred.

• Strong expertise in biomarker evaluation, particularly in immunology and infections, type I diabetes, relevant parameters, and underlying biological mechanisms.

• Proficient in statistical programming languages such as R, Bioconductor, relevant R packages for genetic data, and Python.

• Experience in analyzing high-dimensional datasets.

• Equivalent experience, skills, and/or education may be considered.

🏝️ Benefits

• Opportunities for career development and advancement.

• Supportive and engaged management team.

• Training in technical and therapeutic areas.

• Recognition among peers.

• Comprehensive rewards program.

• Inclusive organizational culture.

• Reasonable accommodations provided when appropriate.