Ai scientist Work, Jobs in Great Shelford, Cam (with Salaries)

Computational Scientist (AI & Biology)
Ensocell —Cambridge
- Full-time
- Doctoral degree
- Machine learning
- AI
- Annual leave
- Employee assistance programme
Quick apply
7d
Research Assistant/Associate in Trustworthy Generative AI for Computational Science (Fixed Term)
University of Cambridge —Cambridge
- £34,610 - £46,049 a year
- Call to connect
- Doctoral degree
- Computer Science
- Research
5d
Applied Scientist, Silicon and Systems Group Edge AI
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Master's degree
- Machine learning
Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
Agentic AI Engineer (life sciences)
Healx —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Software development
- AI
- Annual leave
- Work from home
Quick apply
AI/ML Research Consultant
Awerian —Cambridge
- Full-time
- Research
- Bachelor's degree
- Machine learning
- Life insurance
Quick apply
Researcher & Modeling Scientist
TaiSan —Cambridge
- £45,000 - £60,000 a year
- Full-time
- Doctoral degree
- Analysis skills
- AI
- Annual leave
- Employee assistance programme
Quick apply
6d
Project Manager (AI models)
Qureight Ltd —Cambridge
- £56,000 - £61,000 a year
- Full-time
- Hybrid work
- Machine learning
- AI
- Communication skills
- Annual leave
- Life insurance
Quick apply
GlaxoSmithKline-funded PhD studentship: Immune Ageing (Fixed Term)
University of Cambridge —Cambridge
- English
- Research
- University
5d
Bioinformatics Scientist/Engineer – DRAGEN Array
Illumina —Cambridge
- Full-time
- Doctoral degree
- Computer Science
- Mentoring
4d
R&D Scientist, Quantum Algorithms - 905
Quantinuum —Cambridge
- Full-time
- Hybrid work
- Doctoral degree
- Communication skills
- Annual leave
Bioinformatician - Disease Gene Discovery - Inherited Mitochondrial Diseases
University of Cambridge —Cambridge
- £42,254 - £56,535 a year
- Doctoral degree
- Research
- University
5d
Senior Scientist – Diagnostic Deployment
AstraZeneca —Cambridge
- Laboratory experience
- Continuous improvement
- Communication skills
18h
Senior AI Engineer (Full Stack)
Abcam —Cambridge
- Full-time
- Master's degree
- Machine learning
- In-person
- Annual leave
University Assistant Professor
University of Cambridge —Cambridge
- £47,389 - £59,966 a year
- Research
- Teaching
5d
Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —Cambridge
- Full-time
- Doctoral degree
- Master's degree
- AI
Senior Director of AI and Data Strategy
Abcam —Cambridge
- Full-time
- Engineering
- Bachelor's degree
- AI
Data Partnerships Project Manager
Qureight Ltd —Cambridge
- £56,000 - £61,000 a year
- Full-time
- Hybrid work
- Annual leave
- Life insurance
Quick apply
Scientist II,Computational Biology
Altos Labs —Cambridge
- Doctoral degree
- AWS
- Analysis skills
C++ AI/ML Software Engineer
HP —Cambridge
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree

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Computational Scientist (AI & Biology)

Ensocell
Cambridge

Quick apply

Job details

Full-time
7 days ago

Benefits

Annual leave
Company pension
Employee assistance programme

Qualifications

Doctoral degree
PyTorch
Statistical analysis
Machine learning
Machine learning modelling
Multidisciplinary collaboration
AI
Bioinformatics

Full job description

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.

What you will do

Analyse and interpret single-cell, spatial, and multi-omics datasets to uncover disease mechanisms and therapeutic hypotheses.

Evaluate, benchmark, and apply foundation models and machine learning approaches for biological data analysis.
Develop scalable computational workflows and reproducible analysis pipelines for high-dimensional biological datasets.
Collaborate closely with AI/ML scientists to improve model evaluation, biological interpretation, and downstream applications.
Support translational and target discovery projects through exploratory and hypothesis-driven analyses.
Partner with experimental scientists to design analyses, interpret results, and prioritise follow-up studies.
Contribute to internal standards and best practices for computational biology, benchmarking, and reproducible research.
Communicate findings clearly to interdisciplinary teams.

What we are looking for

A PhD in computational biology, bioinformatics, machine learning, statistics, physics, mathematics, computer science, or a related quantitative discipline.

Strong experience analysing high-dimensional biological data, particularly single-cell and/or spatial omics datasets.
High proficiency in Python and experience working in cloud or high-performance computing environments.
Experience developing or applying machine learning methods to biological datasets.
Familiarity with modern ML frameworks such as PyTorch or JAX.
Strong understanding of statistical modelling and computational data analysis.
Experience working with multimodal biological datasets is highly desirable.
Experience evaluating or benchmarking AI models for biological applications is desirable.
Experience working in industry is desirable.

Benefits (what we offer)

We offer a competitive package, which typically includes:

Competitive salary and equity participation
Enhanced employer pension contribution
Generous annual leave plus UK bank holidays
Private Medical, Income Protection, Critical Illness, Employee Assistance Plan
Training and development support
A collaborative, science-led culture at Babraham Research Campus.

Quick apply

Refine Your Search

ai scientist jobs in great shelford, cam

Computational Scientist (AI & Biology)

Research Assistant/Associate in Trustworthy Generative AI for Computational Science (Fixed Term)

Applied Scientist, Silicon and Systems Group Edge AI

Machine Learning & AI Materials Scientist

Agentic AI Engineer (life sciences)

AI/ML Research Consultant

Researcher & Modeling Scientist

Project Manager (AI models)

GlaxoSmithKline-funded PhD studentship: Immune Ageing (Fixed Term)

Bioinformatics Scientist/Engineer – DRAGEN Array

R&D Scientist, Quantum Algorithms - 905

Bioinformatician - Disease Gene Discovery - Inherited Mitochondrial Diseases

Senior Scientist – Diagnostic Deployment

Senior AI Engineer (Full Stack)

University Assistant Professor

Sr. Applied Scientist, Alexa International

Senior Director of AI and Data Strategy

Data Partnerships Project Manager

Scientist II,Computational Biology

C++ AI/ML Software Engineer

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