About the role
In this role, you will work with Professor Ziheng Yang FRS and Dr Asif Tamuri to conduct research in the area of computational phylogenetics and evolution. You will become a member of a multidisciplinary research team at the interface of evolutionary genomics, bioinformatics, computer science, and computational statistics. In addition to developing and conducting the research, you will communicate results as scientific papers and in scientific presentations at local, national, and international conferences.
The post is funded by the BBSRC with a funding end date of 14 June. Starting date will be on 1 April or as soon as possible afterwards.
A job description and person specification can be accessed at the bottom of this page.
If you have any queries about the role, please contact Professor Ziheng Yang FRS () or Dr Asif Tamuri ().
If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact the HR Administrator () stating the advert reference number in the subject line.
About you
You must have a PhD (or expect to receive one shortly) in computer science, maths/stats, molecular phylogenetics, computational biology, or a similar area. You will have either excellent computational and programming skills with experience in scientific computation, or extensive experience in using modern likelihood and Bayesian phylogenetic software to conduct large-scale data analyses. A proven track record of effective research will be required.
We are particularly interested in two types of candidates: method developers and/or data analysts. Method developers will implement high-performance computing algorithms to accelerate phylogenetic likelihood calculations in the PAML package and develop new models and methods for genome-scale phylogenetic analysis. Candidates should be proficient in C/C++ and scientific computing, with an interest in applying computational and statistical approaches to evolutionary genetics and genomics; experience in statistical inference or phylogenetics is an advantage.
Data analysts candidates will be bioinformaticians or evolutionary biologists with strong computational skills, experience with modern phylogenetic software, and an interest in analyzing genomic-scale phylogenetic data.
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
• Additional 5 days’ annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Immigration loan
• Relocation scheme for certain posts
• On-Site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance