Team Lead - Computer Vision

As a Team Lead you will lead a cross-functional team building the machine learning and computational platforms that power the company's target discovery engine. You will work at the intersection of genomics, computer vision, and deep learning, collaborating closely with wet-lab scientists, computational biologists, and data scientists/ML engineers.

This is an end-to-end leadership role combining technical credibility with strategic direction. You will define the AI roadmap, guide the design of models and pipelines, support downstream scientific decision-making, and ensure the team is executing effectively.

The ideal candidate blends technical depth with pragmatism, scientific curiosity, and the ability to collaborate across disciplines., * Lead and grow an AI/ML group currently consisting of 4/5 engineers/scientists, with planned expansion.

• Own the strategic direction for AI across genomics, imaging, target discovery, and computational modelling.
• Develop ML tools that process large-scale sequencing data, cellular imaging, and multimodal datasets.
• Partner with computational biology and wet-lab groups to integrate AI models into scientific workflows.
• Prioritise the roadmap and ensure delivery of high-impact internal tools and models.
• Drive innovation across deep learning, computer vision, and emerging LLM applications.
• Balance hands-on technical contribution (~10-20%) with leadership (60%) and long-term strategy (20-30%).

• Strong industry background in genomics, computational biology, or bio/pharma ML.
• Proven experience applying deep learning and computer vision (e.g., segmentation, histology imaging).
• Deep understanding of sequencing data, somatic variation, or related biological domains.
• Leadership experience managing high-performing ML or data science teams.

Nice-to-have:

• Exposure to LLMs and modern foundation-model approaches in biology.
• Experience in early-stage biotech or building ML systems from scratch.