Head of Data Science
Norwich, UKApply Now
Role Managed by:
t: +44 (0)20 3928 7358
Primary Practice Group: Higher Education and Research
Salary & Benefits: Competitive
Closing Date: 06/03/2023
Based within Norwich Research Park, the Earlham Institute (EI) was established as a national facility to promote the use of genomics to advance bioscience research and innovation in the UK, supporting academic and industrial investigators. EI is focused on understanding the natural world through the lens of genomics, bringing a strong focus on genomics, computational-, systems- and synthetic-biology. In a unique interdisciplinary environment, the Institute explores the scale and complexity of living systems to protect life on Earth. Through our research, collaborations, training, and scientific services, we are leading a revolution in data-intensive bioscience.
EI is now seeking to appoint a new Head of Data Science. Reporting to the Director of the EI, we are looking for a research leader who is passionate about Data Science and Machine Learning as a research field alongside the strategic management of complex datasets, software, and hardware infrastructure. They will be responsible for the strategic development of EI’s data management and analyses infrastructure, as well as running their own externally funded research programme. They will foster close working relationships with external stakeholders and policy makers to promote EI’s central role in data science expertise.
The successful applicant will be able to demonstrate a record of success in securing competitive research funding in the field of Data Science, in developing their own research programme and in publishing high quality research. They will also have significant experience managing and configuring large computing facilities and of leading, managing, and mentoring teams. They will share EI's commitment to fostering an inclusive and nurturing culture, promoting equality and diversity.
Further information, including a detailed role description and person specification, and information on how to apply can be downloaded at https://candidates.perrettlaver.com/vacancies quoting reference 6304. For an informal discussion about the role, please contact Lucy Roper at firstname.lastname@example.org or +(44) 20 3928 7358.
Deadline for submission of applications is Monday 6th March 2023 at 09:00 GMT.
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