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- Tasks: Lead computational analysis in muscle biology research and develop innovative data processing methods.
- Company: Join a leading research centre focused on health and disease at King's College London.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact in muscle biology while working with cutting-edge technology and diverse teams.
- Qualifications: PhD in relevant field with strong programming and data analysis skills.
- Other info: Dynamic environment with a commitment to open science and collaboration.
The predicted salary is between 45031 - 45031 £ per year.
The Centre for Human & Applied Physiological Sciences (CHAPS) is situated within the School of Basic & Medical Biosciences, which is led by Professor Mathias Gautel and comprises five departments with a wide range of expertise and interests. Using a bench to bedside approach, the School aims to answer fundamental questions about biology in health and disease and apply this knowledge to the development of new and innovative clinical practice, alongside providing a rigorous academic programme for students.
About the role: Dr Seaborne’s group investigates the molecular and cellular mechanisms underpinning muscle biology, in the context of health and disease. His lab’s interests have begun to explore the analysis of multi‑molecule data sets to understand how striated muscle is regulated during health, disease and stress‑response contexts. The successful candidate will lead computational lab analysis work across multiple projects, largely focussing on the perturbation of skeletal muscle cells (myofibres) during periods of environmental and/or genetic influence (ageing, amyotrophic lateral sclerosis, sex differences…) and in the analysis of single myofiber data sets. Importantly, the candidate will be required to use current and bespoke computational and bioinformatic pipelines to analyse these data sets, as well as possibly modify or develop their own approaches to reliably and accurately analyse these data.
This is a 12‑month full‑time on‑campus position (Guys Campus, London Bridge) starting no earlier than the 2 February 2026.
About You: To be successful in this role, we are looking for candidates to have the following skills and experience:
- PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field
- Demonstrated expertise in programming and scripting (e.g. R, Python, Bash) for data processing, integration and visualisation
- Proven experience developing and using necessary pipelines for analysis of large‑scale bulk and single‑cell data sets
- Strong understanding of statistical modelling, data normalisation and machine learning methods applied to biological datasets
- Experience with data management and version control (Git/GitHub, workflow automation, documentation)
- Capacity to work independently and as a multi‑disciplined team
- Excellent verbal and written communication skills (e.g. presentations, seminars, lab meetings…) as proven by track‑record of scientific publications in leading journals and scientific dissemination
- Demonstrate excellent organisational skills, record keeping, academic integrity, and rigor
* Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate, and the salary will increase to Grade 6.
- Experience analysing single‑myofiber or muscle‑based datasets using modern frameworks and pipelines
- Familiarity with single‑cell multi‑omic data integration and network or pathway inference tools
- Experience working in high‑performance computing or cloud environments
- Interest in developing novel computational or statistical methods for muscle biology
- Enthusiasm for open science— sharing code, data and reproducible research practices
We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King’s.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Interviews are due to be held week commencing 15 December 2025.
Grade and Salary: £45,031 per annum, including London Weighting Allowance
Job ID: 130485
Close Date: 07-Dec-2025
Contact Person: Robert Seaborne
Contact Details: robert.seaborne@kcl.ac.uk
Postdoctoral Research Associate in Computational Muscle Biology in City of London employer: Scholarshipdb
Contact Detail:
Scholarshipdb Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate in Computational Muscle Biology in City of London
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend relevant seminars, and engage with researchers on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to computational biology and muscle research. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your programming projects, data analyses, and any publications. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, make sure to tailor your CV and supporting statement to highlight how your experience aligns with the role's requirements.
We think you need these skills to ace Postdoctoral Research Associate in Computational Muscle Biology in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight the skills and experiences that match the job description. We want to see how your background in computational biology or bioinformatics aligns with our needs, so don’t hold back on showcasing relevant projects!
Craft a Compelling Supporting Statement: Your supporting statement is your chance to shine! Use it to detail how you meet the essential criteria listed in the advert. Be specific about your experience with programming, data analysis, and any relevant research you've conducted. We love seeing enthusiasm and clarity!
Show Off Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects your ability to convey complex ideas clearly. Whether it's through your CV, supporting statement, or any publications, we want to see how you can articulate your findings effectively.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and the recruitment process there. We can’t wait to hear from you!
How to prepare for a job interview at Scholarshipdb
✨Know Your Stuff
Make sure you brush up on your knowledge of computational biology and muscle biology. Be ready to discuss your PhD research and how it relates to the role. Familiarise yourself with the latest techniques in data analysis, especially those relevant to muscle datasets.
✨Show Off Your Skills
Prepare to demonstrate your programming skills in R, Python, or Bash during the interview. You might be asked to solve a problem or explain how you've used these languages in past projects. Bring examples of your work or code snippets that showcase your expertise.
✨Communicate Clearly
Since excellent communication is key, practice explaining complex concepts in simple terms. Be ready to discuss your publications and how you've shared your findings with the scientific community. This will show your ability to engage with both technical and non-technical audiences.
✨Be Ready for Teamwork
Highlight your experience working in multi-disciplinary teams. Prepare examples of how you've collaborated with others, managed projects, and contributed to a positive team environment. This will demonstrate your capacity to work independently while also being a team player.
