Research Assistant

Overview of the Role

Do you have a background in statistical modelling of flow cytometry data?  Do you want to further your career in one of the UK’s leading research intensive Universities?

This is a short term, 6 month contract at 50% FTE to perform extensive analysis of flow cytometry data followed by data merging with clinical results towards modelling statistical trajectory regression, multivariate outcome prediction and response to drug towards a 6 month deadline for publication. 

The University of Leeds is one of the top 80 universities in the world.  We have a truly global community, with more than 39,000 students from 170 different countries and over 9,000 staff of 100 different nationalities.  Established in 1904, we have a strong tradition of academic excellence, reflected in first-class student education, along with world-leading research that has a real impact around the globe.  

Please note that due to Home Office visa requirements, this role may only be suitable for first-time Skilled Worker visa applicants if they are eligible for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent.

What we offer in return

26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!

Generous pension scheme options plus life assurance.

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.

Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more!  

Please note that due to Home Office visa requirements, this role may only be suitable for first-time Skilled Worker visa applicants if they are eligible for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent.

To explore the post further or for any queries you may have, please contact:

Associate Prof Frederique Ponchel, LIRMM

Tel: +44 (0)113 206 5642

Email: mmefp@leeds.ac.uk

Further details:

• Candidate Brief

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