The project in the group of Dr. Samra Turajlic at the Francis Crick Institute builds on their previous work, establishing the first evolutionary classification of cancer and identifying the origin of metastatic clones, to understand the role of clonal selection and the tumor microenvironment.
The candidate will utilise mathematical and statistical methods to deconvolute cancer evolution based in particular upon next-generation sequencing data, from tumour bulk, single-cell, and cell-free material, and including panel, exome, whole-genome and transcriptome sequencing. The successful applicant will be based in a multi-disciplinary team of cancer evolutionary biologists and translational research clinicians concerned with both basic evolutionary principles and application of evolutionary rules in the clinic.
Key experience and competencies
The post holder should embody and demonstrate our core Crick values: bold, imaginative, open, dynamic and collegial, in addition to the following:
- Post-doctoral qualification (PhD) in Bio-informatics
- Fluent in at least one of the following programming languages: C++, Python or R
- Excellent understanding of mathematics and statistics, including experience of Bayesian statistics
- Evidence of independent and original contribution to research
- Previous experience of multidisciplinary working
- Ability to manage projects to timelines, analyze, present and write up data in a timely manner
- Excellent presentation skills- including at international conferences
- Excellent general computational skills
- Ability to represent the PI at meetings and conferences
- Excellent interpersonal skills and commitment to team-work
- Experience in the field of evolutionary biology/cancer evolution is desired
- Experience with machine learning is desirable
Application deadline: March 15, 2020
More information available here.