Description
We are seeking a Principal Biostatistician - Biomarker to join our team in various countries in Europe.
As a Principal Biostatistician - Biomarker, you will collaborate with representatives from other functions to plan, execute, and analyze all biomarker aspects of clinical studies or biomarker studies.
Major tasks:
- Collaborate with cross-functional teams to plan, execute, and analyze biomarker studies
- Develop the Biomarker Evaluation Plan for studies, ensuring consistency within and between projects
- Provide statistical input in clinical development discussions, and usage of AI and ML approaches
- Facilitate the organization and coordination of statistical activities regarding biomarker research and development
- Conduct and design advanced data analysis for genomics and biomarker statistics, including statistical programming and design of complex analysis algorithms
- Assume responsibility for the production and accuracy of the Biomarker Evaluation Report
- Work independently at routine and complex statistical questions, modeling, and tasks
- Develop and implement standard processes for the analysis of routine biomarker assessments
Qualifications:
- PhD or MSc in Biostatistics, Statistics, or Mathematics, or related field
- 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
- Experience with explainable AI (SHAP, attention attribution, counterfactuals) and uncertainty quantification for biomarker interpretability
- Strong Python skills and data manipulation experience (Pandas, NumPy, scikit-learn)
- Strong communication and interpersonal skills
- Ability to work independently and collaboratively
- Previous experience in independently leading biomarker studies is mandatory
- Previous clinical trial experience and industry experience are preferred
- Strong knowledge of biomarker evaluation, especially in immunology and infections, type I diabetes, and relevant parameters and underlying biology
- Good knowledge of statistical programming languages, including R and Python
- Experience with analysis of high-dimensional data
What we offer:
- Career development and progression opportunities
- Supportive and engaged line management
- Technical and therapeutic area training
- Peer recognition and total rewards program
- Inclusive culture where you can authentically be yourself