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For Companies At a Glance
- Tasks: Analyse immunological data and develop machine learning pipelines for vaccine trials.
- Company: Join the Pandemic Science Institute, a leader in innovative vaccine research.
- Benefits: Enjoy a full-time role with a fixed-term contract and opportunities for professional growth.
- Why this job: Make a real impact in global health while collaborating with top scientists in a dynamic environment.
- Qualifications: PhD/DPhil in a quantitative field and experience with statistical methods and programming languages required.
- Other info: Applications close on 4 August 2025; interviews in late August or early September.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Translational Immunology Development Unit (TIDU), Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Oxford. You are invited to apply to join Professor Lars Fugger and a multidisciplinary research team at the MRC Translational Discovery Immunology Unit, based at the Weatherall Institute of Molecular Medicine. You will join research scientists, computational biologists, and clinicians, have access to state-of-the-art technologies and collaborate with leading researchers both locally and internationally. This research project aims to explore the role of immune cells in autoimmune, demyelinating diseases of the central nervous system, with an emphasis on patients with multiple sclerosis (MS). The work uses innovative laboratory and analytical techniques to expose new disease-associated immune cell populations that explain why environmental context is critical to disease cause and to explore how the immune system contributes to disease progression. The aim is for the research to be clinically translatable and to support drug development.
If you would like to discuss your application informally before applying, please email Professor Fugger ( ). Further information regarding the research group of Professors Lars Fugger can be found at:
About the Radcliffe Department of Medicine (RDM)
The Radcliffe Department of Medicine (RDM) within the Medical Sciences Division is one of the largest departments in the University of Oxford. RDM is a multi-disciplinary department which aims to tackle some of the world\\\’s biggest health challenges by integrating innovative basic biology with cutting edge clinical research.
Responsibilities
- Join a multidisciplinary research team and contribute to immune cell-based research projects.
- Apply and develop innovative laboratory and analytical techniques to study immune cells in MS and related diseases.
- Collaborate with researchers locally and internationally and contribute to project planning and interpretation of results.
- Develop new ideas and research objectives and communicate findings to the team.
Qualifications
- You must hold, or be close to completion of, a PhD in Immunology.
- Experience with immune cell-based assays is essential.
- Previous experience in MS research is not required.
- You should be highly motivated and able to develop new ideas and research objectives.
Benefits
- An excellent contributory pension scheme
- 38 days annual leave
- A comprehensive range of childcare services
- Family leave schemes
- Cycle loan scheme
- Discounted bus travel and Season Ticket travel loans
- Membership to a variety of social and sports clubs
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Postdoctoral Research Scientist 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
✨Tip Number 1
Familiarise yourself with the specific immunological assays mentioned in the job description, such as ELISA and flow cytometry. Being able to discuss these techniques confidently during your interview will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 2
Showcase your experience with machine learning and statistical methods by preparing examples of past projects where you've successfully applied these skills. This will help you stand out as a candidate who can contribute immediately to the team.
✨Tip Number 3
Engage with current research in computational vaccinology and related fields. Being knowledgeable about recent advancements and challenges in this area will allow you to contribute valuable insights during discussions with the interview panel.
✨Tip Number 4
Network with professionals in the field, especially those who have worked on similar vaccine trials or data analysis projects. This could provide you with insider knowledge and potentially useful contacts that may help you during the application process.
We think you need these skills to ace Postdoctoral Research Scientist
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required qualifications. Make sure you understand the specific skills needed, such as experience with statistical methods, machine learning tools, and programming languages like R or Python.
Craft a Tailored Supporting Statement: Your supporting statement should directly address each of the selection criteria mentioned in the job description. Use specific examples from your past experiences that demonstrate how you meet these criteria, particularly in relation to analysing immunological data and developing informatics pipelines.
Highlight Relevant Experience: In your CV, emphasise your relevant academic background, particularly your PhD/DPhil and any experience with large datasets, machine learning, and statistical analysis. Include any publications or presentations that showcase your expertise in the field.
Follow Application Instructions: Ensure you upload only the required documents: your CV and supporting statement. Double-check that your application is submitted before the deadline of 12 midday on 4 August 2025, and remember to quote the reference number 180446 in all correspondence.
How to prepare for a job interview at University of Oxford
✨Know Your Data
Familiarise yourself with the specific immunological datasets you'll be working with, such as ELISA and flow cytometry data. Be prepared to discuss your previous experience analysing similar data and how it relates to the role.
✨Showcase Your Programming Skills
Highlight your proficiency in R, Python, or Julia during the interview. Be ready to provide examples of projects where you've developed reproducible informatics pipelines or used machine learning tools effectively.
✨Discuss Statistical Frameworks
Prepare to talk about your experience with statistical methods and frameworks for evaluating vaccine trials. Think of specific instances where you contributed to project directions or new methodologies.
✨Prepare Your Supporting Statement
Your supporting statement is crucial. Make sure it clearly outlines how you meet each selection criterion with concrete examples from your past work. This will not only help you in the interview but also demonstrate your attention to detail.
