ABOUT US

The EGA Institute for Women’s Health is an exciting and dynamic environment, and its mission is to bring together the expertise of clinicians and researchers from a diverse range of disciplines so that they can deliver excellence and innovation in research, clinical practice, education and training in order to make a real and sustainable difference to women’s and babies’ health locally, nationally and worldwide.

ABOUT YOU

We are looking for an individual who has a background in statistical genetics or bioinformatics. Applicants should hold a PhD in this field. You would have experience in analysing and interpreting large genetic datasets and advanced skills in at least one statistical software package e.g. R, are essential. Excellent interpersonal skills are essential as well as the ability to work independently. The post offers a diverse and stimulating research environment with great opportunities for training and career development. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6B spine point with payment at Grade 7 being backdated to the date of final submission of the PhD Thesis.

WHAT WE OFFER

As well as the exciting opportunities this role presents, we also offer great benefits. Please visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. Early application submission is recommended. The salary for this role is UCL Grade 7, spine point 30: £43,124 per annum inclusive of London Allowance. A job description and person specification can be accessed at the bottom of this page.

This is an exciting opportunity for a postdoctoral research fellow to lead on the genetics of preterm birth alongside collaborators in the Tommy’s National Centre for Preterm Birth Research. The role will seek novel genetic associations, assess the transferability of established loci, and characterise the genetic architecture of preterm birth in a British and Bangladeshi population. Findings will be validated in other multi-ancestry pre-term birth cohorts. Additional work will harness genomic tools to predict progression to type 2 diabetes after gestational diabetes. The candidate will be expected to undertake supervision of postgraduate levels and carry out other forms of public presentation. Appointment details: The post is available from May 2025 and is funded 1 FTE for a year in the first instance. We will consider applications to work on a part-time, flexible and job share basis wherever possible. This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information.