At a Glance
- Tasks: Join a pioneering team to explore DNA damage and mutagenesis mechanisms.
- Company: University of Edinburgh, a world-class institution with a vibrant research community.
- Benefits: Competitive salary, flexible working options, generous leave, and comprehensive staff benefits.
- Other info: Opportunities for professional development and a dynamic, supportive work environment.
- Why this job: Make a real impact in cancer research while collaborating with global experts.
- Qualifications: PhD in molecular biology or related field; experience in machine learning and nucleic acid manipulation.
The predicted salary is between 41064 - 48822 £ per year.
Grade UE07: £41,064 - £48,822 per annum pro-rata if part-time
Institute of Genetics and Cancer
Full-time: 35 hours per week
Fixed term: for 24 months in the first instance
The Opportunity: Cancer Grand Challenges – from DNA damage to the mechanisms of mutagenesis
We are looking to employ a post-doctoral researcher to join the group of Professor Martin Taylor at the Institute of Genetics and Cancer (IGC), working to understand the mechanisms that drive mutagenesis. In this post you will be a key member of the international Cancer Grand Challenges CAUSE team mechanistically relating DNA damage to the mutations it generates. This is pioneering research in a highly collaborative international team embedded within a well-supported, collegiate and enthusiastic research group.
This specific role will drive the development and application of technologies to detect and map DNA damage and modifications within the human genome. You will produce DNA sequencing libraries containing known non-canonical nucleotides for training machine learning models in the decoding of primary DNA sequencing data. You will develop, refine and validate the machine learning approaches for the probabilistic detection and quantification of non-canonical nucleotides. ONT Nanopore and PacBio HiFi sequencing will be the primary initial platforms for data generation and model training. Knowledge and experience of these platforms would be an advantage.
The successful candidate will have experience in molecular biology and nucleic acid manipulation, and experience in the training of machine learning models on time-series-like data. You will have ownership of your own projects and work closely with experts in biochemistry, high-accuracy mutation detection and the analysis of mass-spectrometry data. The post holder will have many opportunities for multidisciplinary collaborative working both within the IGC and with CAUSE partners based at the Sanger Institute, Hubrecht Institute, Harvard University, University of San Diego and University of Minnesota. The wider Cancer Grand Challenge community will also provide excellent opportunities for training, professional and network development.
Applicants must have a PhD in molecular biology or a related discipline for appointment at Research Associate level. Applicants close to completion of their PhDs will also be considered where experience is directly relevant.
The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working environment where academics can develop their careers and passion for their chosen subject area.
The University isn’t just any employer. We are part of a local community and a contributor to global thinking, progress and research. In Edinburgh, you are in one of the world’s most attractive cities with active arts and social sectors, while working in a University that has made significant contributions to society, medicine, physics and teaching for over four centuries. Our people have helped create the modern world and are working on more ground-breaking technologies and practices.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. Initially a 24-month contract is offered, with the possibility of extension.
As a valued member of our team, you can expect:
- A competitive salary.
- An exciting, positive, creative, challenging and rewarding place to work.
- To be part of a diverse and vibrant international community.
- Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family-friendly initiatives, and flexible work options.
Championing equality, diversity, and inclusion. The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. We welcome applications from all qualified candidates and aim to make appointments only on the criteria of merit and evidence.
Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages. The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant.
Key dates to note: The closing date for applications is 29th May 2026. Unless stated otherwise, the closing time for applications is 11:59 pm (UK time). If you are applying from outside the UK, the closing time shown on our adverts will automatically adjust to your browser’s local time zone.
Post-Doctoral Research Associate in Edinburgh employer: University of Edinburgh
Contact Detail:
University of Edinburgh Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Post-Doctoral Research Associate in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of molecular biology and machine learning. Attend conferences or seminars, and don’t be shy about introducing yourself to potential collaborators or mentors. You never know who might have a lead on your dream job!
✨Tip Number 2
Prepare for interviews by diving deep into the research being done at the Institute of Genetics and Cancer. Familiarise yourself with their projects and think about how your skills can contribute. This shows genuine interest and helps you stand out as a candidate.
✨Tip Number 3
Practice your pitch! Be ready to explain your research experience and how it relates to the role. Keep it concise but impactful – highlight your unique skills in DNA sequencing and machine learning that make you the perfect fit for the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll find all the details you need about the role and the amazing benefits we offer. Let’s get you on board!
We think you need these skills to ace Post-Doctoral Research Associate in Edinburgh
Some tips for your application 🫡
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to explain why you're the perfect fit for this role and what excites you about the research. We want to see your passion and how this position aligns with your career aspirations.
Tailor Your CV: Don’t just send a generic CV! Highlight your relevant experience in molecular biology, nucleic acid manipulation, and machine learning. We’re looking for specifics that show how your background makes you a great candidate for this post-doctoral role.
Showcase Your Collaborative Spirit: Since this role involves working with an international team, it’s important to demonstrate your ability to collaborate. Share examples of past teamwork or projects where you’ve worked closely with others to achieve common goals.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets the attention it deserves. Don’t miss out on this exciting opportunity!
How to prepare for a job interview at University of Edinburgh
✨Know Your Science
Make sure you brush up on the latest research in molecular biology and mutagenesis. Be prepared to discuss how your previous work aligns with the goals of the Cancer Grand Challenges project, especially regarding DNA damage and machine learning applications.
✨Showcase Your Technical Skills
Highlight your experience with ONT Nanopore and PacBio HiFi sequencing. If you've worked on training machine learning models, be ready to share specific examples of your methodologies and results. This will demonstrate your hands-on expertise and problem-solving abilities.
✨Emphasise Collaboration
This role is all about teamwork, so be sure to talk about your experiences working in multidisciplinary teams. Share examples of how you've successfully collaborated with others, particularly in high-pressure environments or complex projects.
✨Craft a Compelling Cover Letter
Your cover letter should not just reiterate your CV but also convey your passion for the research area. Explain why this role excites you and how it fits into your career aspirations. A personal touch can make a big difference!