Machine Learning Scientist (KTP Associate) in Multimodal Data Integration

About the Role

Applications are invited for a Machine Learning Scientist (KTP Associate) in Multimodal Data Integration with a background in deep learning. This is an exceptional opportunity to work as a KTP Associate in collaboration between AstraZeneca and Queen Mary University of London (QMUL) within the domain of Artificial Intelligence for multimodal integration of multi-omics and imaging data.

The primary aim of the project is to perform research and development on a unique dataset consisting of multiomics and imaging readouts from chemically and genetically perturbed cells.

The project is a joint collaboration between Queen Mary University of London and AstraZeneca, and the successful candidate will be based primarily in the AstraZeneca Discovery Centre in Cambridge. 

The position is funded until June 30th 2027 in the first instance.

About You

The ideal candidate will have, or be near completing, a PhD in computer science, bioinformatics or a related field, with experience of interdisciplinary research and a keen interest in life sciences.

How to Apply

Please apply via the Queen Mary Application portal, and attach a copy of your CV to your application.

About the Institute

The Digital Environment Research Institute (DERI) is Queen Mary’s first University Research Institute, created as part of the university’s ambitious Strategy 2030. University Research Institutes represent a paradigm shift as they are outside the standard Queen Mary faculty structure and collaborate across the university to advance multi-disciplinary research and innovation.

DERI is dedicated to ground-breaking research in digital and data science, including artificial intelligence (AI), and offers an outstanding research environment including a dedicated physical space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs.

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. The company focuses on discovering, developing and commercialising prescription medicines for some of the world’s most serious diseases

About Queen Mary

At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.

We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

Benefits

We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.

This role is supported by AI Futures Grants, a UK Government scheme designed to help the next generation of AI leaders meet the costs of relocating to the UK. AI Futures Grants provide financial support to reimburse relocation costs such as visa fees, the immigration health surcharge and travel/subsistence expenses. Successful candidates for this role may be able to get up to £8,000 to meet relocation costs, subject to terms and conditions.

Advert information