Opportunity ID
 
4327
Faculty
 





University Research Institutes





Location
 





QM London





Contract Type
 





Fixed Term





Duration
 





30 months, depending on start date





Working Patterns
 





Full Time





Full Time Equivalent (FTE)
 
1.00
Working Hours (Per Week)
 





35.00





Salary Range
 





£37,472 - £50,685 per annum





Job Pack
 

JP 4327 Machine Learning Scientist (KTP Associate) in Multimodal Data Integration.pdf – 646KB
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Contact Details
 





Informal enquiries should be addressed to (Greg Slabaugh) at g.slabaugh@qmul.ac.uk.





About the Role
 
About the RoleApplications 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 YouThe 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 ApplyPlease apply via the Queen Mary Application portal, and attach a copy of your CV to your application. About the InstituteThe 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 MaryAt 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. BenefitsWe 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.
Closing Date
 
08/12/2024, 23:55