BioAI Scientist / ML Engineer - Foundational Model Development (Cambridge)

My client is looking for an exceptional BioAI scientist to lead and contribute to the development of a foundational model to discover novel biomarker insights, and for the discovery and development of biologics.

The ideal candidate will have experience in the development and training of foundational models , applied to single cell, spatial biology, genomics, and related multi-omics.

Your Tasks

• Build and apply advanced AI models (e.g., transformers, VAEs, large-scale foundation models, and self-supervised or multimodal architectures) to support biological research.
• Develop, refine and optimise AI systems, and tools, with a focus on Multi-omics and Single cell
• Utilise your deep knowledge of single-cell and spatial data, from various tissues and disease types, using both public (e.g. HCA) and internal resources, to acquire, curate and prepare datasets.
• Work in cross-functional teams to ensure application of these models are applicable to practical biological applications

Your profile (ESSENTIAL)

• PHD degree in relevant area (Machine Learning, AI, bioinformatics, Comp Bio, Physics etc)
• Extensive knowledge of Multi-omics datasets with a focus on Single-cell and Spatia l Biology
• Expertise in utilising GPUs for AI/ML model training
• You have an exceptional publication record of AI method development for Biology (NeurIPS, Nature etc).
• Strong software development skills; Python (and relevant libraries), Cloud infrastructure etc
• You're highly motivated to work at the forefront of innovation, keen to develop the next generation of BioAI technologies to make significant impact to patient lives.

To note:

• Open to exceptional EU applicants and can support in bringing you to Cambridge, UK.
• Role requires weekly onsite presence in Cambridge, UK
• Further details will be given on screening call

Additional questions?

📩ellie.cockburn@umbilical-life.com OR drop me a DM