Research Assistant/Associate in Machine Learning Methods Based on Imaging and Omics Applied to [...]

TN United Kingdom; Cambridge; On-site; GBP 35,000 - 55,000; Full time

Job summary

Join a forward-thinking institution as a Research Assistant/Associate in a groundbreaking project focused on machine learning methods applied to Parkinson's disease. Collaborate with leading experts in academia and industry to blend statistical bioinformatics with deep learning, aiming to develop predictive biomarkers. This role offers a unique opportunity to work at the intersection of technology and healthcare, contributing to impactful research that could change lives. If you're passionate about advancing medical science through innovative approaches, this position is perfect for you.

Qualifications

• PhD or equivalent experience in relevant fields.
• Strong programming skills in Python and familiarity with git.

Responsibilities

• Manage research projects, define directions, and conduct analyses.
• Develop techniques to achieve research objectives.

Skills

Python

Machine Learning

Bioinformatics

Statistical Analysis

Education

PhD in Computer Science

PhD in Bioinformatics

PhD in Mathematics

Tools

Git

Job description

Research Assistant/Associate in Machine Learning Methods Based on Imaging and Omics Applied to Parkinson's Disease (Fixed Term), Cambridge

Client:

University of Cambridge

Location:

Cambridge, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

c24a42bc9113

Job Views:

8

Posted:

26.04.2025

Expiry Date:

10.06.2025

Job Description:

Fixed-term: The funds for this post are available for 3 years in the first instance.

Applications are invited for a post-doctoral research associate to carry out a joint project, co-supervised by Professor Pietro Lio at the Department of Computer Science and Technology at the University of Cambridge and Mr Francesco Tuveri and colleagues at bioinformatics group, Astex Pharmaceuticals. The project investigates multimodal machine learning approaches to model phenotypic and genetic dynamics of Parkinson's disease, utilizing brain imaging and molecular data from repositories such as PPMI and UK Biobank. The goal is to blend statistical bioinformatics with deep learning to develop predictive biomarkers for patient subtyping.

The postholder will be based 50% at the Department of Computer Science and Technology, University of Cambridge, and 50% at Astex Pharmaceuticals, fostering collaboration across academia and industry.

Main Duties

• Manage all aspects of the research projects, including defining research directions, conducting analyses, preparing publications, and presenting results.
• Develop and apply a range of techniques to achieve research objectives.
• Stay updated with field developments and adapt research strategies accordingly.
• Ensure compliance with good practice, policies, and legal requirements.

Profile and Skills

• PhD in computer science, bioinformatics, mathematics, or a related field, or equivalent experience.
• Strong programming skills in Python and familiarity with git.
• Experience with machine learning models, especially multimodal representation learning, is advantageous.
• Experience with brain imaging and/or molecular data is desirable.

Applicants with a submitted but not yet awarded PhD will be appointed at Research Assistant level, progressing to Research Associate upon PhD completion.

About Astex

Astex Pharmaceuticals is a leader in drug discovery, with successful clinical-stage candidates and collaborations. The company focuses on Neurological Disorders and Oncology, with a bioinformatics team working on multi-omics, statistical analysis, and machine learning.

The university promotes equality, diversity, and inclusion and encourages all qualified applicants to apply. All employees must be eligible to work in the UK.