lecturer in life sciences (health data analytics)

This is a full time and permanent post, working 35 hours per week.
About the post

This is a permanent post for a Bioscientist with expertise in the areas of health, physical activity, and nutrition data analytics. This post is aimed at growing capacity and delivery in high quality health data analytics to enthuse a new generation of specialists and expand the reach and impact of data analysis into existing and new areas of application. 

The role will involve engaging in both research and education in this fast moving field, developing a distinctive research profile and collaborating with partners from government, commerce, and society. 

The successful candidates will join a School of Life Sciences with a wide reputation for teaching and research in the heart of London. The School hosts a suite of well-established undergraduate (BSc) and postgraduate (Masters) courses for both full-time and part-time students. 

About you

The appointed Lecturer will complement and strengthen our existing research expertise and will teach in a range of undergraduate and postgraduate courses, including BSc Human Nutrition (including Foundation), BSc Pharmacology and Physiology (including Foundation), and MSc Sports and exercise Nutrition. They will lead the delivery of high quality teaching material and contribute to curriculum design and the development of new courses to support a programme of capacity building in the field of health data analytics within the School.

They will also develop new content on the application of data analytics to improve general healthcare using machine learning tools as well as more traditional statistical and/or epidemiological methods, etc. They will be instrumental in using and developing novel methodologies to extract information from ‘Big Data’ analytics using approaches such as: statistics, epidemiology machine learning, artificial intelligence, record linkage, mining free text, data visualisation, data-driven modelling, linking genomics and clinical data or bioinformatics.

Applicants for this posts should demonstrate evidence of distinction and potential in research and practice of health and or sports data analytics through high-quality publications / or software / tools development. They should also demonstrate the ability or potential to obtain external grant funding in their research area, and enthusiasm for teaching, thereby contributing to taught course delivery in the School of Life Sciences. The person specification accompanying the job description for this post sets out the full requirements that the successful appointee must be able to evidence. 

About the School of Life Sciences 

The School of Life Sciences undertakes teaching and research in the areas of physiology, biochemistry, biological sciences, biomedical science, exercise, molecular biology, pharmacology, public health and nutrition and provides services for some 1800 students and 110 academic and research colleagues. As a team member, you will work closely with colleagues across the School and wider University, to maintain the highest quality of teaching and student pastoral support and provide the best possible experience to School users (primarily students and academic and research staff) in the delivery of the School’s core activities. 
For further information and to apply for this post, please click apply and you will be redirected to our website.

At the University of Westminster, diversity, inclusion and equality of opportunity are at the core of how we engage with students, colleagues, applicants, visitors and all our stakeholders. 

We are fully committed to enabling a supportive and safe learning and working environment which is equitable, diverse and inclusive, is based on mutual respect and trust, and in which harassment and discrimination are neither tolerated nor acceptable.

Closing date: midnight on 08 February 2021 
Interviews are likely to be held on: 18 February 2021

Administrative contact (for queries only): Recruitment@westminster.ac.uk 
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