At a Glance
- Tasks: Analyse immunological data and develop frameworks for vaccine trial design.
- Company: Join the Pandemic Science Institute at the University of Oxford.
- Benefits: Competitive salary, pension, and funded training in machine learning.
- Other info: Collaborative environment with opportunities for career development.
- Why this job: Make a real impact on global health through innovative vaccine research.
- Qualifications: PhD/DPhil in a quantitative field and expertise in machine learning.
The predicted salary is between 39424 - 47779 £ per year.
We are seeking a Postdoctoral Research Scientist in Computational Vaccinology to join the Pandemic Science Institute’s (PSI) growing efforts in computational vaccinology and vaccine trial design. You will analyse immunological data from the ChAdOx1 NipahB vaccine trial, aiming to help identify a set of immune markers which might serve as early correlates of protection (CoP) against Nipah virus disease.
You will work with immunologists, mathematical modellers and statisticians to develop new frameworks to interpret and evaluate state-of-the-art immune markers as CoPs in vaccine trials and real-world effectiveness studies. There will be the opportunity to collaborate in other immunological modelling and bioinformatics projects in the PSI. This is a highly multidisciplinary, fixed-term position based at the University of Oxford’s PSI, funded by CEPI and the Wellcome Trust.
The role will require close collaboration between data analysts, modellers, immunologists, and trial specialists at the PSI, the International Centre for Diarrheal Disease Research Bangladesh (icddr,b) and the Bangladesh Institute of Epidemiology, Disease Control and Research (IECDR). In addition to carrying out research to inform ongoing vaccine trial efforts, you will have the opportunity to undertake funded training in machine learning and vaccinology.
You will be part of the wider Pathogen Dynamics group with substantial opportunity for collaboration and career development. The position is suitable for a highly motivated bioinformatician, statistician, or computational biologist with expertise in machine learning and an interest in immunology, epidemiology and vaccinology.
You will hold, or be near completion of, a PhD/DPhil in a relevant quantitative field and have expertise in analysing complex datasets using machine learning methods and/or statistics. Proficiency in R, Python, Julia, or other relevant programming languages is essential. Experience working with systems immunology data will be an advantage, as will evidence of successful collaboration with lab‑based researchers.
We welcome informal enquiries, which can be redirected to James Hay at James.hay@ndm.ox.ac.uk.
Salary (£): Research Grade 7: £39,424 - £47,779 with a discretionary range to £53,483 p.a. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year.
Position term: Fixed‑term contract until 31 March 2028, funded by Wellcome and CEPI.
Reference: 187018
Postdoctoral Research Scientist in Computational Vaccinology in Oxford employer: Corehr
The Pandemic Sciences Institute at the University of Oxford offers an exceptional work environment for a Postdoctoral Research Scientist in Computational Vaccinology, fostering a collaborative culture that encourages innovation and interdisciplinary research. With access to cutting-edge resources and training opportunities in machine learning and vaccinology, employees can expect significant professional growth while contributing to impactful vaccine trial efforts. Located in the vibrant city of Oxford, this role provides a unique chance to engage with leading experts in the field and make meaningful contributions to global health.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Scientist in Computational Vaccinology in Oxford
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
✨Leverage University Alumni Networks
If you're a recent grad, don’t underestimate the power of your university’s alumni network! Reach out to alumni working in biotechnology to gather tips about job openings at companies like Corehr. You'd be surprised how willing people are to help out a fellow grad!
✨Show Off Your Projects
Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Corehr!
We think you need these skills to ace Postdoctoral Research Scientist in Computational Vaccinology in Oxford
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Corehr that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Corehr.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Corehr does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Corehr
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Corehr. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Corehr's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Corehr. This shows your passion for the industry!
