Data scientist Work, Jobs in Stansted, Ess (with Salaries)

Research Associate x 2 in Deep Learning for Population genomics and biodiversity Forecasting (Fixed Term)
University of Cambridge —Cambridge
- £37,694 - £46,049 a year
- Remote
- Doctoral degree
- University
- Mentoring
6d
Senior Machine Learning Scientist
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Communication skills
- Annual leave
- Life insurance
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13d
Senior Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Annual leave
Senior Director of AI and Data Strategy
Abcam —Cambridge
- Full-time
- Engineering
- Bachelor's degree
- AI
Senior Machine Learning Engineer
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Annual leave
- Life insurance
Quick apply
13d
Manager - AI and Analytics
Tesco UK —Welwyn Garden City
- Full-time
- Machine learning
- AI
- Communication skills
- Employee assistance programme
5d
Data Science and Technical Lead (Children Transformation Programme)
Enfield Council —Enfield
- £42,771 - £45,750 a year
- Full-time
- Hybrid work
- Presentation skills
- Organisational skills
- Annual leave
- Employee assistance programme
Principal Machine Learning Engineer
Speechmatics —Cambridge
- Hybrid work
- Machine learning
- Mentoring
Senior AI & Compute Systems Engineer, Workforce Development
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- Computer Science
- Software troubleshooting
- Machine learning
Lead Product Manager - AI Governance & Adoption
Tesco UK —Welwyn Garden City
- Full-time
- Hybrid work
- Team management
- Product management
- Agile
- Employee assistance programme
7d
Senior AI Research Software Engineer (ICCS) (Fixed Term)
University of Cambridge —Cambridge
- £47,389 - £59,966 a year
- Hybrid work
- Doctoral degree
- Master's degree
- Software development
6d
Senior Product Manager - Conversational AI & Self-Service Support
Tesco UK —Welwyn Garden City
- Full-time
- Product management
- APIs
- Agile
- Employee assistance programme
Senior Machine Learning Engineer (Large Systems)
Graphcore —Cambridge
- Doctoral degree
- Master's degree
- Software development
- Annual leave
- Employee assistance programme
Principal Scientist, Translational Data Sciences
GlaxoSmithKline —Stevenage
- £74,250 - £123,750 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Bachelor's degree
- Annual leave
7h
Associate Director, Translational Data Sciences
GlaxoSmithKline —Stevenage
- £82,500 - £137,500 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Writing skills
- Annual leave
7h

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Research Associate x 2 in Deep Learning for Population genomics and biodiversity Forecasting (Fixed Term)

University of Cambridge -
Cambridge

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Job details

Fixed term contract
£37,694 - £46,049 a year
6 days ago

Qualifications

TensorFlow
Biology
Data integration
Doctoral degree
Mentoring junior staff
Biodiversity
Machine learning modelling
Deep learning
Mentoring
Software development
AI

Full job description

Two Research Associate posts are available in the Department of Zoology at the University of Cambridge to develop advanced deep learning approaches for population genomics and biodiversity forecasting as part of a major research programme investigating how species and ecosystems respond to environmental change. The project aims to transform biodiversity prediction by integrating ecological, genomic, climatic, and environmental data within a unified modelling framework known as Climate-Informed Spatial Genomic Models (CISGeMs). These models provide a powerful mechanism for reconstructing population histories and forecasting future biodiversity trajectories, creating new opportunities to understand and predict biological responses to climate change at unprecedented spatial and temporal scales.

The principal aim of these posts is the development of novel deep learning methods that enhance the inference, scalability, and predictive performance of the CISGeM framework.

The successful candidates will design and implement deep learning models capable of integrating heterogeneous data sources, including genomic variation, species occurrence records, climate reconstructions, environmental layers, and remotely sensed observations. The methods will be applied to three case studies focussing on African megafauna, European butterflies and moths, and UK pollinators for which we have extensive genomic resources, including time series based on museum specimens. The researchers will contribute directly to the development of a new generation of predictive biodiversity models that combine mechanistic understanding with state-of-the-art artificial intelligence.

The successful candidates will join a large and highly interdisciplinary research group comprising more than 20 PhD students and postdoctoral researchers working across ecology, evolution, conservation, genomics, and artificial intelligence. They will work closely with researchers developing large language model approaches for literature mining, population geneticists generating large genomic datasets, and ecological modellers applying the resulting tools to questions in biodiversity conservation. The role will involve substantial collaboration both within the University of Cambridge and with national and international partners, providing opportunities to develop innovative AI methodologies while addressing fundamental scientific questions.

Candidates should have a PhD in population genetics, evolutionary biology, or a related discipline. A strong quantitative background and substantial experience in deep learning applied to population genetics or evolutionary models are essential. Excellent programming skills in Python and experience with modern machine learning frameworks such as PyTorch or TensorFlow are expected. Experience in ecology, geospatial analysis, or environmental modelling would be advantageous but is not essential.

The successful applicants will be expected to contribute actively to the intellectual life of the group. This includes participating in weekly hackathons and collaborative coding sessions, contributing to the development of shared software infrastructure and open-source tools, mentoring junior researchers where appropriate, and sharing expertise in machine learning and artificial intelligence across the programme. The positions provide an outstanding opportunity to work at the forefront of AI-driven environmental science and to help establish new approaches for understanding biodiversity change in a rapidly changing world.

For more information, please refer to the Further Particulars document

Informal inquiries are welcomed and should be directed to Prof Andrea Manica ([email protected]).

Due to the nature of this role, it is based entirely on site

Interviews are planned for the week commencing Monday, 31 August 2026.

Fixed-term: The funds for this post are available for up to 3 years.

Flexible working requests will be considered.

Informal enquiries are welcomed and should be directed to: Prof Andrea Manica [email: [email protected]]

If you have any queries regarding the application process, please contact Zoology HR Office [email: [email protected]]

Please quote reference PF50525 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Apply online

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data scientist jobs in stansted, ess

Research Associate x 2 in Deep Learning for Population genomics and biodiversity Forecasting (Fixed Term)

Senior Machine Learning Scientist

Senior Engineer (ML Engineer)

Senior Director of AI and Data Strategy

Senior Machine Learning Engineer

Manager - AI and Analytics

Data Science and Technical Lead (Children Transformation Programme)

Principal Machine Learning Engineer

Senior AI & Compute Systems Engineer, Workforce Development

Lead Product Manager - AI Governance & Adoption

Senior AI Research Software Engineer (ICCS) (Fixed Term)

Senior Product Manager - Conversational AI & Self-Service Support

Senior Machine Learning Engineer (Large Systems)

Principal Scientist, Translational Data Sciences

Associate Director, Translational Data Sciences

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