We are seeking a highly motivated full time Research Associate in Bioinformatics/Data analysis (grade 7) to join the Cambridge Centre for AI Medicine (CCAIM) directed by Prof Mihaela van der Schaar and co-directed by Prof Andres Floto
You will be based in the Department of Medicine Molecular Immunity Unit based at the MRC-Laboratory of Molecular Biology, Cambridge Biomedical Campus. The post is available for 3 years in the first instance. Flexible/part time working can be accommodated.
You will be part of a group of researchers whose goal is to develop and apply new machine learning methods to solve challenges in medicine.
The postholder will be responsible for implementing machine learning methods to tackle important problems in genomics, multi-omic integration, and clinical forecasting in collaboration with a multi-disciplinary group of researchers within CCAIM.
Essential skills:
- PhD in bioinformatics, computational biology or a related discipline.
- Previous demonstrable experience in the analysis of next generation sequencing generated data.
- Programming particularly in Python
- Adaptable, enthusiastic, and approachable, team oriented, highly organised, quality orientated and able to work under pressure.
Additional skills, regarded as advantageous:
- Development of algorithms and Artificial Intelligence techniques.
- Good experience with graphic packages and scientific writing.
- Ability to work autonomously and to prioritise tasks.
CCAIM provides an exciting multidisciplinary research environment with strong collaborations with the WT Sanger Institute, EMBL-EBI, and University Departments of Biochemistry, Chemistry, and Engineering.
Informal enquiries are welcome and can be addressed to Professor Andres Floto (arf27@cam.ac.uk)
Fixed-term: The funds for this post are available for 3 years in the first instance.
Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.
Closing Date: 28 November 2021
Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
Please quote reference RC28557 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Further information
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