At a Glance
- Tasks: Develop and apply machine learning techniques for protein modelling and computational biology.
- Company: Join the prestigious University of Oxford's cutting-edge research team.
- Benefits: Competitive salary, collaborative environment, and opportunities for academic publication.
- Other info: Dynamic interdisciplinary team with excellent career growth and research opportunities.
- Why this job: Make a real impact in advancing biological discovery through innovative research.
- Qualifications: PhD (or near completion) in relevant fields and strong machine learning background.
The predicted salary is between 39424 - 43984 € per year.
The University of Oxford is recruiting a Research Associate to contribute to cutting-edge research in computational biology, protein modelling, and machine learning methods for protein analysis and design. The position is offered on a full-time fixed-term contract for 21 months, with a latest end date of 31 March 2028. The successful candidate will join a highly interdisciplinary research environment focused on advancing computational approaches to biological systems.
The role involves developing and applying machine learning techniques to protein-related datasets, with a strong emphasis on high-performance computing and algorithmic innovation. The postholder will contribute to research on protein structure and function prediction, protein design methodologies, and computational frameworks that support biological discovery. Responsibilities include conducting independent and collaborative research, producing scientific publications, and contributing to the development of new research ideas and funding proposals.
The position requires close collaboration with interdisciplinary teams, supporting the integration of computational methods with biological insights. The role also includes communicating research outcomes through academic papers, conferences, and internal collaborations.
Eligibility Criteria:- A PhD (or near completion) in Computer Science, Computational Biology, Bioinformatics, or a closely related discipline
- Strong background in machine learning, computational modelling, or protein biology
- Demonstrated experience in independent research within an academic or industrial environment
- Evidence of scientific writing and publication potential
- Strong proficiency in Python programming
- Experience in high-performance computing environments
- Knowledge of computational biology or protein modelling
- Experience developing machine learning methods for biological or protein-related applications
- Ability to conduct independent research and contribute to collaborative projects
- Strong analytical, problem-solving, and conceptual thinking skills
- Effective communication skills for interdisciplinary collaboration and scientific dissemination
Salary Details: Pay scale: Research Grade 7. Salary range: £39,424 – £43,984 per annum (with potential adjustment depending on experience and internal grading).
Research Associate – Machine Learning for Protein Modelling and Computational Biology in Oxford employer: RFCSR
The University of Oxford offers an exceptional work environment for the Research Associate role, fostering a culture of innovation and collaboration in the fields of computational biology and machine learning. Employees benefit from access to cutting-edge resources, opportunities for professional development, and the chance to contribute to impactful research that advances scientific knowledge. Located in one of the world's leading academic institutions, this position provides a unique opportunity to engage with interdisciplinary teams and make significant contributions to the field.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate – Machine Learning for Protein Modelling and Computational Biology in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at the University of Oxford or similar institutions. Attend conferences and workshops to meet potential collaborators and mentors who can help you land that Research Associate role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to protein modelling and computational biology. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of high-performance computing and algorithmic innovation. Be ready to discuss how you've applied these techniques in your research and how they can benefit the team at Oxford.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who are eager to contribute to cutting-edge research.
We think you need these skills to ace Research Associate – Machine Learning for Protein Modelling and Computational Biology in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and computational biology. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about protein modelling and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Research Experience:We love seeing evidence of independent research! Include any publications or projects that demonstrate your ability to conduct research in computational biology or related fields. This will help us understand your potential contributions.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at RFCSR
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning techniques and computational biology. Be ready to discuss specific projects you've worked on, especially those involving protein modelling. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Skills
Prepare to demonstrate your proficiency in Python and any high-performance computing tools you've used. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning and computational biology beforehand.
✨Collaborative Spirit
Since the role involves working with interdisciplinary teams, be prepared to talk about your experiences in collaborative research. Highlight how you've integrated different perspectives and skills in past projects, as this will show you can thrive in a team environment.
✨Communicate Effectively
Practice explaining complex concepts in simple terms. You'll need to communicate your research outcomes clearly, whether in papers or presentations. Think of examples where you've successfully communicated your findings to non-experts, as this will demonstrate your ability to bridge the gap between disciplines.
