Ensocell is a venture-backed biotechnology company combining single-cell and spatial genomics, AI, and translational biology to identify novel therapeutic targets and develop next-generation precision medicines. Our ENSIGHT platform utilises integration of large-scale human datasets, machine learning, and experimental biology to uncover disease mechanisms and therapeutic intervention points with unprecedented resolution.

We are building an interdisciplinary team spanning computational biology, AI/ML, software engineering, and experimental biology, united by a shared ambition to transform how therapeutics are discovered.

The opportunity
We are seeking a Computational Scientist to join Ensocell at the intersection of single-cell biology, spatial genomics, and AI-driven therapeutic discovery.

In this role, you will work across platform development and translational discovery projects, applying computational and machine learning approaches to large-scale biological datasets to uncover disease mechanisms and assess therapeutic opportunities.

You will work closely with computational biologists, AI/ML scientists, and experimental researchers to evaluate, challenge, and improve emerging foundation models and AI systems for biology. The role combines deep biological data analysis with method evaluation and model development, making it ideal for someone who enjoys both rigorous computational work and high-impact scientific application. The role may be appointed at Scientist or Senior Scientist level, depending on the candidate’s academic and industry experience.

This is an opportunity to help shape how AI and large-scale biological data are integrated into next-generation drug discovery in a highly collaborative and fast-moving environment. We offer a competitive package and strong career development opportunities, with scope for scientific ownership and impact in a fast-paced biotech.