At a Glance
- Tasks: Join a pioneering team to explore DNA damage and mutagenesis through innovative research.
- Company: Institute of Genetics and Cancer, part of a vibrant international community.
- Benefits: Competitive salary, generous leave, pension scheme, and flexible work options.
- Other info: Dynamic environment with excellent opportunities for professional growth and collaboration.
- Why this job: Make a real impact in cancer research while collaborating with top global institutions.
- Qualifications: PhD in molecular biology or related field; experience in machine learning is a plus.
The predicted salary is between 48822 - 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: 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, collegial and enthusiastic research group.
This 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 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.
Please see the job description and person specification document associated with this advert for the full list of criteria.
How to apply
Please include the following documents in your application:
- CV - either narrative or structured.
- Cover letter explaining your fit for the role, the science that excites you, and how you think this role could help realise your aspirations.
Benefits
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.
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. 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 employer: Job Search Place Limited
The Institute of Genetics and Cancer offers an exceptional environment for a Post-Doctoral Research Associate, fostering a collaborative and innovative culture that encourages professional growth and interdisciplinary research. With access to cutting-edge technologies and a diverse international community, employees benefit from comprehensive staff perks, including generous leave, a defined benefits pension scheme, and flexible working options, all while contributing to pioneering research in cancer genetics.
StudySmarter Expert Advice🤫
We think this is how you could land Post-Doctoral Research Associate
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We think you need these skills to ace Post-Doctoral Research Associate
Some tips for your application 🫡
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How to prepare for a job interview at Job Search Place Limited
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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 Job Search Place Limited. You might even be asked to demonstrate your understanding of these processes.
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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.
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