Research Associate in molecular, digital and computational pathology
Research Associate in molecular, digital and computational pathology

Research Associate in molecular, digital and computational pathology

Sheffield Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to conduct cutting-edge research in molecular and computational pathology.
  • Company: The University of Sheffield is a world-class institution known for its diverse and inclusive community.
  • Benefits: Enjoy flexible working, generous leave, discounts, and a commitment to your personal development.
  • Why this job: Make a real impact in cancer diagnostics while collaborating with experts in a supportive environment.
  • Qualifications: PhD or relevant experience in molecular biology, bioinformatics, or computational pathology required.
  • Other info: This is an entry-level contract position with opportunities for growth and innovation.

The predicted salary is between 28800 - 48000 £ per year.

Research Associate in molecular, digital and computational pathology

Join to apply for the Research Associate in molecular, digital and computational pathology role at The University of Sheffield

Research Associate in molecular, digital and computational pathology

Join to apply for the Research Associate in molecular, digital and computational pathology role at The University of Sheffield

Get AI-powered advice on this job and more exclusive features.

The University of Sheffield provided pay range

This range is provided by The University of Sheffield. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from The University of Sheffield

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 a talented and motivated Research Associate to join the NEOPATH research group within the Faculty of Health, University of Sheffield. This is an exciting opportunity to work at the intersection of molecular biology, computational science, and translational oncology, contributing to cutting edge research in the pathology of head and neck cancers.

Led by Professor Ali Khurram, this multidisciplinary project focuses on understanding the tumour microenvironment and disease progression by integrating digital histology, radiology, immunohistochemistry, multiplex imaging, and spatial transcriptomics with advanced bioinformatics and AIdriven analysis.

You will work alongside molecular biologists, pathologists, and data scientists to generate and analyse multimodal datasets that uncover new prognostic biomarkers and inform precision therapies. The role involves both wet-lab experimentation and computational modelling, offering a unique opportunity for someone with a background in molecular or cell biology who is also skilled in bioinformatics, image analysis, and machine learning.

You’ll be part of a dynamic, supportive, and forward-thinking research environment committed to making real clinical impact through innovation in cancer diagnostics and personalised medicine.

Main Duties And Responsibilities

  • Conduct research aligned with the project’s objectives, contributing to both molecular and cell biology experiments and computational/bioinformatics analyses.
  • Generate, process, and analyse multimodal datasets including immunohistochemistry, multiplex imaging, and spatial transcriptomics, integrating findings from laboratory work with computational outputs.
  • Manage and maintain laboratory equipment, digital pathology tools, software environments, and data systems essential for experimental and computational workflows.
  • Work both independently and collaboratively as part of the NEOPATH research group, engaging with co-investigators to meet project milestones and contribute to overall planning and delivery.
  • Maintain accurate and detailed records of all research activity, including wet-lab protocols, data acquisition processes, and bioinformatics pipelines.
  • Adhere to Health & Safety policies, including CoSHH regulations and SOPs.
  • Liaise regularly with the principal investigator and project supervisors, contributing to team meetings and strategic discussions.
  • Prepare and deliver presentations for internal meetings, collaborators, and external audiences such as conferences.
  • Undertake literature reviews to ensure the project is informed by the latest developments.
  • Contribute to manuscript preparation, technical reports, and funding applications.
  • Support responsible research conduct and sustainability practices.
  • Carry out other duties as required, commensurate with the scope and grade 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

PhD (or equivalent experience) in a relevant subject area such as molecular biology, cell biology, cancer biology, bioinformatics, or computational pathology

Application

Undergraduate degree in a relevant biological, biomedical, or computational discipline

Application

Proven ability to conduct independent research and evidence of outputs (e.g., publications, presentations)

Application

Demonstrated experience in molecular and/or cellular biology techniques (e.g., RNA/protein extraction, tissue processing, multiplex imaging analysis)

Application/Interview

Experience in bioinformatics or computational analysis of biological data (e.g., transcriptomics, spatial omics, image analysis, machine learning)

Application/Interview

Ability to integrate experimental and computational data

Application/Interview

Excellent written and verbal communication skills

Application

Strong teamworking and time-management skills

Application/Interview

Experience with spatial transcriptomics or multiplex imaging (e.g., Visium, CODEX, MIBI)

Application/Interview

Familiarity with digital pathology or AI-based analysis platforms (e.g., QuPath, HALO, CellProfiler, R/Python)

Application/Interview

Further Information

Grade

7

Work arrangement

Full-time

Duration

1 October 2025 – 30 September 2029

Line manager

Our website

For informal enquiries about this job contact Professor Ali Khurram, Dean & Principal Investigator: on s.a.khurram@sheffield.ac.uk

Next steps in the recruitment process

It is anticipated that the selection process will take place within 4 weeks of the application submission date. This will consist of an interview and presentation, the title of which will be provided to all shortlisted candidates. We plan to let candidates know if they have progressed to the selection stage within 2 weeks of the close of the application process. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact Jennie Young on j.l.young@sheffield.ac.uk who will be able to assist..

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.
  • 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.
  • 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.

Seniority level

  • Seniority level

    Entry level

Employment type

  • Employment type

    Contract

Job function

  • Job function

    Research

  • Industries

    Higher Education

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Research Associate in molecular, digital and computational pathology employer: The University of Sheffield

The University of Sheffield is an exceptional employer, offering a vibrant and inclusive work culture that prioritises the wellbeing and development of its staff. With a commitment to innovation in research, particularly in the field of molecular, digital, and computational pathology, employees benefit from flexible working arrangements, generous annual leave, and numerous opportunities for professional growth within a supportive community. Join us to contribute to groundbreaking research while enjoying a fulfilling career in a world-class academic environment.
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Contact Detail:

The University of Sheffield Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Associate in molecular, digital and computational pathology

✨Tip Number 1

Familiarise yourself with the latest advancements in molecular and computational pathology. This will not only help you understand the research focus of the NEOPATH group but also allow you to engage in meaningful discussions during interviews.

✨Tip Number 2

Network with professionals in the field by attending relevant conferences or seminars. Making connections can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.

✨Tip Number 3

Prepare to discuss your experience with both wet-lab techniques and computational analysis. Be ready to share specific examples of how you've integrated these skills in past projects, as this is crucial for the role.

✨Tip Number 4

Research the principal investigator, Professor Ali Khurram, and his work. Understanding his research interests and recent publications can help you tailor your conversation and demonstrate your genuine interest in the position.

We think you need these skills to ace Research Associate in molecular, digital and computational pathology

Molecular Biology Techniques
Cell Biology Techniques
Bioinformatics
Computational Analysis
Data Integration
Image Analysis
Machine Learning
Spatial Transcriptomics
Multiplex Imaging
Immunohistochemistry
Laboratory Management
Health & Safety Compliance
Excellent Communication Skills
Teamwork and Collaboration
Time Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in molecular biology, computational analysis, and any specific techniques mentioned in the job description, such as RNA extraction or multiplex imaging.

Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the research group. Mention how your background aligns with the project’s objectives and your interest in contributing to cancer diagnostics.

Highlight Research Experience: Clearly outline your previous research experience, especially any independent projects or publications. This will demonstrate your ability to conduct research and contribute to the team effectively.

Prepare for Interviews: If selected for an interview, be ready to discuss your technical skills and how you can integrate experimental and computational data. Prepare to present your past research and its relevance to the role.

How to prepare for a job interview at The University of Sheffield

✨Showcase Your Research Experience

Be prepared to discuss your previous research projects in detail. Highlight any relevant experience in molecular biology, bioinformatics, or computational analysis, and be ready to explain how these experiences have equipped you for the role.

✨Demonstrate Technical Skills

Familiarise yourself with the specific techniques mentioned in the job description, such as multiplex imaging and spatial transcriptomics. Be ready to discuss your proficiency in software tools like R or Python, and how you've applied them in past projects.

✨Prepare for Collaborative Scenarios

Since the role involves working with a multidisciplinary team, think of examples where you've successfully collaborated with others. Be ready to discuss how you handle teamwork, share responsibilities, and contribute to group goals.

✨Engage with Current Research

Stay updated on the latest developments in molecular and computational pathology. Be prepared to discuss recent papers or advancements in the field, and how they relate to the work being done at the University of Sheffield.

Research Associate in molecular, digital and computational pathology
The University of Sheffield
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