AI Scientist Foundational Modelling
AI Scientist Foundational Modelling
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Job Description
The Opportunity
At Ensocell we are building AI models to elucidate the pathogenesis of chronic diseases and to use that knowledge to develop pioneering new therapies.
We are seeking an innovative and highly skilled AI Scientist to join our Data Science & Genomics team. In this role you will focus on leveraging foundational AI architectures to analyse spatial genomics and singlecell genomics human disease data to elucidate a deeper understanding of disease pathology. Your work will directly impact the development of novel disease mechanisms the selection of therapeutic targets and the discovery of novel biotherapeutics. You will bring your computer science background and AI/ML expertise to create and shape the development of our AI platform based on analysing largescale genomics data.
What this role will Involve
- Design and implement advanced AI models based on transformers variational autoencoders (VAE) etc. to integrate and model spatial and singlecell data.
- Evaluate and refine foundational model architectures incorporating appropriate learning strategies and performance metrics.
- Contribute to AI architecture development by proposing innovative ideas and optimising existing frameworks for biological applications.
- Assemble curate and preprocess singlecell and spatial datasets from diverse tissues and diseases leveraging the Human Cell Atlas and Ensocell proprietary largescale resources.
- Collaborate with biologists biotherapeutics discovery teams and disease experts to align model outputs with meaningful biological insights.
What we expect from you
Qualifications and Skills
- PhD degree in Computer Science Artificial Intelligence Machine Learning Computational Biology Bioinformatics or a related field.
- Track record in AI innovation through peerreviewed publications in method development (e.g. ICLR NeurIPS ICML Nature Science Cell or similar).
- Expertise in training and inference of large AI/ML models on GPUs including transformer and VAE architectures.
- Experience with spatial and singlecell data modelling and their application to biological questions.
- Strong programming skills in Python TensorFlow/PyTorch and familiarity with AWS cloud infrastructure.
- Demonstrable track record of applying AI to solve complex biological challenges and translate outputs into biologically meaningful hypotheses.
Competencies and Behaviours
- A team player who proactively and directly communicates and collaborates with other team members.
- Highly developed problemsolving skills.
- Ability to organise own workload and manage competing priorities.
About Ensocell
Ensocell is a new venture capitalbacked life science company at the intersection of single cell genomics spatial genomics AI and drug discovery. Our mission is to decode the complexities of human disease biology identify novel therapeutic intervention points and develop precision therapeutics targeting these intervention points to create transformational new medicines. Ensocell has research teams in Cambridge UK and Alameda California (USA).
At Ensocell we foster a vital interdisciplinary and collaborative scientific culture. We are seeking talented highly motivated and intellectually curious individuals to join our team and share in our mission. Ensocell supports a welcoming and inclusive work environment that encourages openness and diversity.
Note to recruitment agencies: we are not looking for assistance at this stage so please contact the HR department only at if you think you can help in the future.
Required Experience:
Senior IC
Employment Type
Full-Time
