PhD Position in Data Science for Cancer Research


PhD Project Area: Data Science for Cancer Research

Supervisor: Dr. Colm J. Ryan

Applications are invited for a PhD fellowship in the School of Computer Science, University College Dublin. The project involves the application of large-scale data-analysis approaches to understanding patterns of mutations in cancer genomes. The applicant will work on a computational project, but as part of a larger interdisciplinary group consisting of a mix of experimental (wet-lab) and computational (dry-lab) researchers. The student will learn to computationally analyse large scale ‘omics’ data – primarily tumour genome sequencing, but also CRISPR screens in cancer cell lines. The PhD project is funded as part of an IRC Laureate award to understand how tumours tolerate large numbers of mutations.

Requirements: This position will primarily involve large-scale data analysis and will require excellent quantitative and computational skills. The applicant should have a strong background in Data Science,  Statistics, Computer Science or Bioinformatics. Familiarity with data analytics in Python, R or similar is a must. Familiarity with genetics, bioinformatics or cancer biology is not a requirement but applicants with no background in these areas should be keen to learn.

Stipend and Fees: Funding is available for four years. The successful candidate will receive a tax-free stipend of €16,000 per annum. In addition €5,750 will be made available towards registration fees per annum. Additional funds are available for computer equipment and conference travel.

Deadlines: Applications will be reviewed as they are received and interviews carried out once suitable candidates are identified. The intention is for the candidate to start in September 2018.

Application procedure: Please send a single PDF containing a CV, brief cover letter, and contact details of two referees to Dr. Colm J Ryan ( Informal inquiries to the same address are more than welcome.

Ryan group:

UCD School of Computer Science:

Systems Biology Ireland: