At a Glance
- Tasks: Develop innovative deep learning models to accelerate drug discovery.
- Company: Collaborative initiative between Queen Mary University and AstraZeneca.
- Benefits: Competitive salary, flexible working options, and opportunities for travel and training.
- Other info: Join a diverse team and enjoy excellent career development opportunities.
- Why this job: Make a real impact in life sciences while working with cutting-edge technology.
- Qualifications: PhD (or near completion) in computer science or bioinformatics, with deep learning experience.
The predicted salary is between 42091 - 51755 £ per year.
About the Role
The position is a joint initiative between Queen Mary University of London and Astra Zeneca.
The successful candidate will be based at the Astra Zeneca Discovery Centre in Cambridge and will work on the development of innovative multimodal deep learning methodologies to accelerate drug discovery.
The project focuses on integrating advanced omics technologies (transcriptomics, proteomics) and imaging data to build predictive systems and provide biological insights.
The postholder is expected to travel to DERI periodically for research and training.
Responsibilities
- Develop and implement deep learning models for multimodal data integration.
- Collaborate with interdisciplinary teams in life sciences and AI.
- Conduct research on transcriptomics, proteomics, and imaging modalities.
- Perform data analysis, model training, and validation.
- Present findings to internal stakeholders and at external conferences.
- Travel to DERI periodically for training and collaboration.
Qualifications
- Ph D (or near completion) in computer science, bioinformatics, or a related field.
- Experience with interdisciplinary research and a strong interest in life sciences.
- Proficiency with deep learning frameworks and multimodal data analysis.
EEO Statement
Queen Mary University of London is committed to a diverse and inclusive community.
Reasonable adjustments will be made at each stage of the recruitment process for candidates with a disability.
We are open to considering applications from candidates wishing to work flexibly.
- Location and Salary
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Machine Learning Scientist (KTP Associate) in Multimodal Data Integration employer: Queen Mary University of London
Queen Mary University of London is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation within the Business Development team. Employees benefit from competitive salaries, flexible working arrangements, and ample opportunities for professional growth, making it an ideal place for those seeking meaningful and rewarding careers in a supportive academic environment.
Contact Details:
Queen Mary University of London Recruitment Team
