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Senior Research Fellow in Data Science

University of Leeds - Faculty of Medicine & Health

Location: Leeds
Salary: £42,149 to £50,296
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 22nd June 2022
Closes: 24th July 2022
Job Ref: MHCTR1248

Are you an ambitious researcher looking for your next challenge? Do you have a background in data science or health data analytics? Do you want to work for an Institute leading in clinical trials research and impacting international clinical practice? Do you want to be part of a successful, highly talented, and multi-disciplinary team? 

The Clinical Trials Research Unit (CTRU) at the Leeds Institute of Clinical Trials Research (LICTR) is an international leader in the field of clinical trials. The Unit is one of the largest in the UK and conducts national and international early phase and late phase clinical trials in a variety of clinical fields. Our main aim is to develop and support novel and efficient trials to change clinical practice for the better. Our past results and current research have already helped to do this. Our results inform the academic development of this specialised field of clinical research on a national and international level. Particularly, we specialise in complex phase III trials, early phase I/II trials, biomarker-driven designs, seamless phase II/III designs, adaptive designs and the development, optimisation and evaluation of complex interventions, including cluster randomised and complex factorial designs. You will be responsible for leading a specialised portfolio of trials research.

We are seeking to appoint a Senior Research Fellow in Data Science to join the Leeds Cancer Research UK Clinical Trials Unit (CTU) led by Prof. Julia Brown. This post is available immediately and offers an exciting opportunity to lead the development and implementation of several projects using routine data sources and electronic health records in conjunction with clinical trials. This will initially focus in our haematology portfolio, implementing and then assessing the effectiveness of using routine national datasets and/or electronic health care records to perform trial follow-up, collaborating with HDR UK – the national institute for health data science, including their cancer hub (DATA-CAN), and MRC MRC-NIHR Trials Methodology Research Partnership (TMRP).

We recommend potential applicants contact us to explore the post further, and are happy to answer any queries you may have:

 David Cairns, Director of Late Phase Cancer Division

Tel: +44 (0)113 343 1712

Email: d.a.cairns@leeds.ac.uk

Sarah Brown, Director of Early Phase Cancer Division

Tel: +44 (0)113 343 1472

Email: S.Brown@leeds.ac.uk

Anna Hockaday, Operations Director, Cancer Division

Tel: +44 (0)113 343 7682

Email: a.m.chalmers@leeds.ac.uk

What we offer in return

  • 25 days holiday plus 15.5 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s over 40 days a year!
  • Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
  • Personal Development: Access to courses run by our Organisational Development & Professional Learning team, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more.
  • The opportunity, if applicable, to apply for a PhD.
  • Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more!  

If you are looking for a role that aims to improve patient outcomes and provide you with an excellent opportunity to develop your career, your national and international profile and broaden your expertise through methodological research, apply today.

Category: Research

Grade: Grade 8

Salary: £42,149 to £50,296 p.a.

Working Time: 1.0 Full time Equivalent

Post Type: Full Time

Contract Type: Fixed Term (Available until 31 March 2024 due to external grant income)

Release Date: Wednesday 22 June 2022

Closing Date: Sunday 24 July 2022

Reference: MHCTR1248

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