Applications are invited for Computational Biologists/Data Scientists to join the Norwich Bioscience Institutes on a joint venture with the Alan Turing Institute.
Norwich Bioscience Institutes (NBI)
NBI is home to a cluster of internationally-renowned research organisations: John Innes Centre, Earlham Institute, Quadram Institute Bioscience and The Sainsbury Laboratory. These institutes are working together to tackle the major challenges facing humankind in the 21st century: the sustainability of our environment, our food supplies and healthy aging.
In collaboration with the Alan Turing Institute, we are seeking to recruit researchers on the interface of machine learning and biology. Applications are welcome both from experts in statistical data analysis, machine learning, or artificial intelligence with an interest in biological data, as well as from experts in computational biology, systems biology, and bioinformatics who wish to gain experience in machine learning and artificial intelligence.
Suitable candidates will join an exciting UKRI-funded fellowship programme in computational biology, working with the Norwich Bioscience Institutes (John Innes Centre, Earlham Institute, Quadram Institute Bioscience and The Sainsbury Laboratory).
We plan to recruit a cohort of five to six short-term fellows for twelve months who will apply machine learning approaches to tackle key challenges in various areas of biology relevant to the Norwich Bioscience Institutes (such as food security, genomics, big data in biology, microbiome).
The post holders will also be provided with mentoring and training from the Turing Institute. Candidates can choose to be based in Norwich, but we also encourage applications from candidates interested in remote and/or flexible working. Candidates must however be based in the UK, and will be expected to attend the Norwich site in person for a kick off meeting, final workshop and an event at the Turing Institute in London.
The ideal candidates
Candidates should either have a background in computational biology, systems biology, bioinformatics ideally to PhD level or an MSc in either computer science, applied mathematics, computational physics, computational biology or a related discipline and experience in applying machine learning and statistical approaches to data-rich problems.
Salary on appointment will be within the range £32,255 to £39,345 per annum depending on qualifications and experience.
Further information and details of how to apply can be found here, or contact the Human Resources team on 01603 450462 or email@example.com quoting reference 1003927.
As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy.