Postdoctoral Scientist in Computational Biology: Join the computational biology laboratory of Dr. Michael Boemo at the University of Cambridge’s Department of Pathology. This role offers an exciting opportunity to develop AI models that predict DNA secondary structures, contributing to advancements in understanding genome stability and its implications for cancer.
Postdoctoral Research Scientist in Computational Biology
Designation: Postdoctoral Research Scientist
Research Area: Computational Biology, Genomics, Artificial Intelligence
Location: Department of Pathology, Central Cambridge
Eligibility/Qualification:
- Completed PhD in a quantitative field (e.g., physics, computer science, mathematics, engineering, bioinformatics, or computational biology)
- Proficiency in at least one programming language
- Experience with AI and/or mathematical modeling in genomics is highly desirable
- Ability to work independently and collaboratively in a multidisciplinary team
Job Description:
The successful candidate will develop artificial intelligence models aimed at predicting the presence of DNA secondary structures from Oxford Nanopore sequencing data and mapping them across the human genome. This role is part of a multi-institution, cross-disciplinary team that includes Dr. Gideon Coster (Institute of Cancer Research, London) and Oxford Nanopore Technologies. You will have access to high-performance computing facilities and the support of a vibrant computational biology community.
- Tenure: Fixed-term until 31 August 2028
- Funding: Supported by an Industrial Partnership Award from the Biotechnology and Biological Sciences Research Council
- Health Assessment: Required post-employment offer
How to Apply:
Interested applicants should click the ‘Apply’ button to register an account with the recruitment system and submit their application. For informal enquiries, please contact Dr. Michael Boemo at mb915@cam.ac.uk. For questions regarding the application process, reach out to Miss Ellie Watson at ew649@cam.ac.uk. Please quote reference PK46917 in all correspondence.
Last Date for Application:
27 August 2025
