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Research Associates – Computational Statistics and Deep Learning With Applications in Biomedicine (Turing-Roche Partnership)

The Alan Turing Institute

Location: London, Hybrid
Salary: £42,893 to £48,510 plus excellent benefits
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 17th April 2024
Closes: 12th May 2024
 

HOURS: 36

CLOSES: Sunday 12 May at 23:59

The Alan Turing Institute

Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.

Please find more information about us here 

BACKGROUND

The Health and Medical Sciences Programme at Turing delivers research into the theory and methods of AI, statistics, and data analytics underpinning medical and health applications. 

The Alan Turing Institute and Roche have recently launched a programme which will establish a world-leading industry and academic partnership in advanced analytics focused on enabling the transformative benefits of personalized healthcare to become a reality for patients around the world. 

This strategic partnership will cover multiple activities, with the “North Star” of developing new data science methods to investigate large, complex, clinical and healthcare datasets to better understand how and why patients respond differently to treatment, and how treatment can be improved. 

CANDIDATE PROFILE

This is an exciting opportunity for two researchers with a strong background in statistical methodology and applied data analysis.

The successful candidates will have a PhD (or equivalent experience) in a relevant area such as Mathematics, Statistics, Computer Science or related discipline.

We are seeking applicants who have knowledge of a wide range of statistical and/or deep learning methods used to model complex data, as well as knowledge of the area of missing data and methodology to address missing data problems.  Knowledge and expertise in computation statistics or experience of applying deep learning with knowledge of the underlying theory is also beneficial. The ideal candidate will have excellent computational skills with the statitstical software R or Python. 

DUTIES AND AREAS OF RESPONSIBILITY

  • Undertake work including statistical analyses and relevant methodological research.
  • Collaborate on projects with researchers at Roche/Genentech.
  • Develop new methods and/or adapt existing methods to address complex missing data and computational statistics problems, including (but not exclusively) motivated from the Flatiron Health-Foundation Medicine clinico-genomic database.
  • Publish the results of the methodological and applied research in high-quality journals and participate in conferences.
  • Disseminate research outputs to the Turing-Roche partnership team as well as research in the Roche Advanced Analytics group.
  • Create new, or adapt existing, R / Python packages that implement the research methods developed.

Please see our portal for details of how to apply and full details of the role. 

Terms and Conditions 

These full time posts are offered on a fixed term basis for 24 months or until 30 June 2026 (whichever is earlier) at an annual salary of £42,893 to £48,510 plus excellent benefits, including flexible working and family friendly policies,  https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits

The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. 

Equality Diversity and Inclusion

We are committed to making sure our recruitment process is accessible and inclusive.

This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at adjustments@turing.ac.uk  to find out how we can assist you.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
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