Principal Machine Learning Scientist (alle Gechlechter)
Core
Leading the development, evaluation, and application of modern Machine Learning models for biomolecular design, target discovery, biomarker identification, and patient stratification.
Role type
Principal Machine Learning Scientist (Research)
Builds
Virtual cell and patient models integrating multi-scale, multimodal biological data; accelerates drug discovery projects.
Domain
Life Sciences / Biomedicine / Computational Biology
Deliverable
production ML models
Required skills
PhD in Computational Chemistry/Biology, Chem/Bioinformatics, or related field; deep expertise in modern ML methods for biology (sequence-to-function, nucleotide language models, generative methods, multimodal fusion); practical experience with ML workflows for biomolecular modeling and multi-omics data; proficiency in Python (PyTorch, pandas, scikit-learn); experience with large-scale biological datasets (Single-Cell/Spatial-Omics, Bulk-Transcriptomics, Proteomics, Imaging); knowledge of modern bioinformatics tools and DNA/RNA biology; experience with agentic AI workflows.
Preferred skills
Experience in collaborative software development following best practices; ability to communicate and engage with stakeholders including biologists, chemists, data scientists, R&D leadership, and consortia partners.
Technologies
PyTorch, pandas, scikit-learn, Single-Cell Omics, Spatial Omics, Bulk Transcriptomics, Proteomics, Imaging, DNA/RNA biology tools.
Responsibilities
Develop and apply biological Foundation Models (Protein/RNA language models, Single-Cell/Spatial-Omics models, multimodal generative architectures); design virtual cell and patient models to simulate cellular states and support in-silico patient stratification; identify opportunities to accelerate drug discovery using internal and external AI capabilities; stay updated on developments in Foundation Models and present findings internally and externally; lead initiatives for integrating AI into biomedical research; foster collaboration and knowledge exchange within the team and with external partners.
Seniority
Principal, hands-on IC with strategy & mentorship
