Job Description
Job Title:  Research Associate - SITraN
Posting Start Date:  26/06/2025
Job Id:  1248
School/Department:  School of Medicine & Population Health
Work Arrangement:  Full Time (Hybrid)
Contract Type:  Fixed-term
Salary per annum (£):  38,249.00 to 46,735.00
Closing Date:  23/07/2025

The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more. Find out more about our benefits (opens in a new window) and join us to become part of something special.

 

Overview

 

We are seeking an enthusiastic postdoctoral researcher to join the group of Dr Jenny Lord at the Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, UK.

 

You will play a key role in a new project using big datasets and innovative computational approaches to identify genetic regions regulating splicing and gene expression, and investigating how disruption in these elements leads to common and rare disease. You will work with large scale genome sequencing datasets (e.g. UK BioBank, 100,000 Genomes Project, gnomAD) and RNA-Seq data, adapting and applying computational genomics methods such as the Mutability Adjusted Proportion of Singletons (MAPS).

 

You will be expected, with guidance from the PI, to identify and adapt relevant methodologies, manage large data sets, plan and execute large scale computational analyses, compile and present results, contribute to writing publications, present at lab meetings and conferences and contribute to other activities in the group as needed (e.g. supervision of student projects).

 

The post is available for 20 months, with potential for extension subject to funding. It is funded by an Academy of Medical Sciences Springboard award.

 

Please direct any enquiries to Dr Jenny Lord (jenny.lord@sheffield.ac.uk).

 

The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

 

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities,a commitment to your development and wellbeing, a wide range of retail discounts, and much more.

 

Find out more at https://www.sheffield.ac.uk/jobs/benefits and join us to become part of something special.

 

Main duties and responsibilities

 

  • Undertake research in line with project requirements.
  • Design and run analyses on large scale datasets, managing data access, analysis and storage.
  • Take a lead role in interpretation and write-up of data, supporting project reports and publications. 
  • Present findings at local meetings and external conferences.
  • Keep up to date with relevant literature.
  • Work independently and as part of a team to deliver the research aims.
  • Contribute to supervision of PhD and MSc students working in the group.
  • Carry out other duties, commensurate with the grade and remit of the post.

 

Person Specification

Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.

 

Criteria

Essential or desirable

Stage(s) assessed at

A PhD in bioinformatics, computational biology, genomics or a related discipline (applicants near completion of their PhD are welcome to apply

Essential

Application

Track record of producing high-quality research in a relevant area

Essential

Application/Interview

Knowledge of the role and function of splicing and the non-coding genome

Essential

Application/Interview

Experience with analysis of large ‘omics data sets in a research

Essential

Application/Interview

Understanding of statistical approaches in genomics (e.g. genetic constraint, burden testing)

Essential

Application/Interview

Experience with bioinformatics tools and using the command line/bash scripting for biological research

Essential

Application/Interview

Working knowledge of a programming language relevant to biological analyses, e.g. R/Python

Essential

Application/Interview

Experience presenting research at meetings/conferences

Essential

Application/Interview

Excellent written and verbal communication skills to support dissemination of research findings

Essential

Application/Interview

Experience generating and sharing reproducible code/software e.g. via GitHub

Desirable

Application/Interview

Experience working with in the UK BioBank Research Analysis Platform (RAP) or National Genomic Research Library (NGRL)

Desirable

Application/Interview

 

Further Information

 

Grade

7

Salary

£38,249 to £46,735

Work arrangement

Full-time

Duration

Available immediately, for 20 months

Line manager

Lecturer in Systems Biology

Direct reports

None

Our website

https://www.sheffield.ac.uk/sitran

For informal enquiries about this job contact Dr Jenny Lord: jenny.lord@sheffield.ac.uk

 

 

 

Next steps in the recruitment process

It is anticipated that the selection process will take place within one month of the post closing. This will consist of an interview, including short presentation from each candidate. We plan to let candidates know if they have progressed to the selection stage within two weeks of the closing date. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact rebecca.brown@sheffield.ac.uk

 

 

Our vision and strategic plan

We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new window).

What we offer

  • A minimum of 41 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
  • Flexible working opportunities, including hybrid working for some roles.
  • Generous pension scheme.
  • A wide range of discounts and rewards on shopping, eating out and travel.
  • A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
  • Recognition Awards to reward staff who go above and beyond in their role.
  • A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways
  • A range of generous family-friendly policies
    • paid time off for parenting and caring emergencies
    • support for those going through the menopause
    • paid time off and support for fertility treatment
    • and more


More details can be found on our benefits page: sheffield.ac.uk/jobs/benefits (opens in a new window).

 

We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.

 

We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision (www.sheffield.ac.uk/vision) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.

 

Disability Confident