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- Tasks: Conduct bioinformatics research and develop analysis pipelines for sympathetic neuroscience.
- Company: Join a leading department at Oxford focused on innovative research and teaching.
- Benefits: Enjoy hybrid working, 38 days leave, and a great pension scheme.
- Why this job: Make a real impact in bioinformatics while working in an inclusive environment.
- Qualifications: PhD/DPhil in bioinformatics and experience with Python and R required.
- Other info: Opportunities for career growth and a commitment to sustainability.
The predicted salary is between 33900 - 39900 £ per year.
Sherrington Building, Parks Road, Oxford, OX1 3PT
Contract & job type: Fixed-term, Full-time for 24 months
About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We are committed not only to innovative research and the highest standard of teaching, but also to creating an inclusive and supportive working environment.
Overview of the role: We are seeking a postdoctoral research scientist in bioinformatics to join our research group. In this role, you will be responsible for carrying out bioinformatic research for sympathetic neuroscience, and further develop analysis pipelines pioneered in the lab based on Topometry, to help integrate and expand our single cell atlases. This post is available for 24 months.
Key responsibilities:
- Act as a source of information and advice to other members of the group on technical aspects pertaining to core expertise in bioinformatics and Python, scientific protocols and experimental techniques.
- Be proactive on streaming bioinformatic workflows that sustain productivity and output.
- Learn and be fully independent on the existing laboratory workflows, such as transcriptomics analytical pipelines running on Python such as Topometry.
Selection criteria:
- Hold or to be near completion of a PhD/DPhil in bioinformatics.
- Experience programming with Python and R.
- Experience with single cell sequencing workflows.
What we offer: Your wellbeing at work matters, so we offer a range of family friendly and financial benefits including:
- Hybrid working.
- An excellent contributory pension scheme.
- 38 days annual leave.
- A comprehensive range of childcare services.
- Family leave schemes.
- Cycle and electric car loan schemes.
- Employee Assistance Programme.
- Membership to a variety of social and sports clubs.
- Discounted bus travel and Season Ticket travel loans.
How to apply: Please provide a supporting statement outlining how you meet the selection criteria along with your CV, and the details of two referees as part of your online application. The closing date for applications is 12 noon on 17/04/2026. Interviews are likely to take place during the week commencing 04/05/2026 and will be held on Microsoft Teams. Applications are particularly welcome from women, black and minority ethnic candidates who are under-represented in academic posts in Oxford.
Informal enquiries about the role may be directed to the DPAG HR Team: hr@dpag.ox.ac.uk
DPAG’s Statement of Inclusion: We, as a Department and Community, will be considerate and welcoming of all people, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, gender identity, and socio-economic background. We acknowledge societal inequalities and how these impact us, and those around us, personally and professionally. Our policies, practices and Respectful Behaviours Framework underpin this commitment.
DPAG and Sustainability: We have signed up to The Laboratory Efficiency Assessment Framework (LEAF) and Green Impact, actively implementing and encouraging eco-friendly practices that reduce waste, promote energy efficiency, and promote bio-diversity.
£39,424 to £47,779 per annum.
Postdoctoral Research Scientist in Bioinformatics in Oxford employer: University of Oxford
Contact Detail:
University of Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Scientist in Bioinformatics in Oxford
✨Tip Number 1
Network like a pro! Reach out to current or former employees at DPAG on LinkedIn. A friendly chat can give us insider info about the team and the role, plus it shows our genuine interest.
✨Tip Number 2
Prepare for the interview by diving deep into their research. Familiarise ourselves with their recent publications and projects in sympathetic neuroscience. This will help us ask insightful questions and demonstrate our passion.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or colleagues. This will help us articulate our experience with Python and bioinformatics clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our supporting statement to highlight how we meet the selection criteria.
We think you need these skills to ace Postdoctoral Research Scientist in Bioinformatics in Oxford
Some tips for your application 🫡
Craft a Compelling Supporting Statement: Your supporting statement is your chance to shine! Make sure you clearly outline how your experience and skills meet the selection criteria. Use specific examples from your past work to demonstrate your expertise in bioinformatics and Python.
Tailor Your CV: Don’t just send a generic CV! Tailor it to highlight your relevant experience, especially in single cell sequencing workflows and programming. We want to see how your background aligns with the role, so make it easy for us to connect the dots.
Be Professional but Authentic: While we appreciate professionalism, we also value authenticity. Let your personality shine through in your application. Show us why you’re passionate about bioinformatics and how you can contribute to our inclusive and supportive environment.
Apply Through Our Website: Make sure to apply through our website for a smooth application process. It’s the best way for us to receive your application and ensures you don’t miss any important updates. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at University of Oxford
✨Know Your Bioinformatics Inside Out
Make sure you brush up on your bioinformatics knowledge, especially around single cell sequencing workflows. Be ready to discuss your experience with Python and R, and how you've applied these skills in previous projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex bioinformatic challenges in the past. Highlight your ability to develop analysis pipelines and streamline workflows, as this will demonstrate your proactive approach to research.
✨Familiarise Yourself with Topometry
Since the role involves working with Topometry, it’s a good idea to understand its principles and applications. If possible, try to run through some basic analyses or case studies to discuss during the interview.
✨Emphasise Team Collaboration
The job requires acting as a source of information for other team members, so be prepared to talk about your experience in collaborative environments. Share instances where you’ve supported colleagues or contributed to group projects in a meaningful way.