Senior Scientist, AI for Translational Sciences
Core
Design and apply innovative computational & AI analysis methods to interrogate diverse molecular datasets (DNA sequencing, single-cell/bulk transcriptomics, proteomics, spatial/digital pathology) to advance Oncology & Biopharmaceuticals R&D.
Role type
Senior Scientist, AI for Translational Sciences (IC)
Builds
AI modelling solutions and agentic systems for data-driven decision-making in translational science
Domain
Biopharmaceuticals R&D / Molecular Omics / AI
Deliverable
production ML models
Required skills
AI/ML modelling for molecular data, deep learning (PyTorch, transformers), statistical model evaluation, NGS data analysis (Illumina), drug discovery biology, agentic frameworks, Python, Unix/Linux, cloud/HPC
Preferred skills
Clinical trial patient data, biological foundation models (BulkFormer, scGPT, DNABERT), model explainability, pharma/biotech R&D experience
Technologies
PyTorch, transformers, huggingface_hub, AWS, Conda, Git
Responsibilities
Design and apply AI analysis methods for molecular data; build AI modelling solutions and agentic systems; collaborate with technical and non-technical teams to empower data-driven decision-making
Seniority
Senior, hands-on IC
