Not logged in

Bioinformatics.org

Membership (44436+)

Basic Free!
Professional

Group hosting

Hosted groups (569)

Wiki
Franklin Award
Sponsorships

Careers

About bioinformatics
Bioinformatics jobs

Research

All information groups
Online databases

Online analysis tools

Online education tools

Atlas of Macromolecules

More tools

Development

All software groups
FTP repository
SVN & CVS repositories
Mailing lists

Forums

News & Commentary

Submit

BACKGROUND

The Wellcome Trust Sanger Institute are seeking to recruit a Senior Bioinformatician who can facilitate the scientific work of the Jones group by leading the computational data analysis support for the team and their collaborators. The group, led by Phil Jones, studies pre-cancer, how mutant cells evolve into cancers in humans and model systems (http://www.sanger.ac.uk/science/groups/jones-group). We are interested in how mutant clones compete with each other and interact with the cancer promoting environment during epithelial cancer evolution in order to guide new cancer prevention therapy. Our cross disciplinary approach exploits quantitative methods to link mutation with changes in cell dynamics (see references 1-3 below). Recent work includes developing a new deep sequencing technique to reveal a high density of clonal mutations in normal human skin, basis of skin stem cell cell fate and developing new models of oesophageal cancer. The group is a mixture of experimentalists and quantitative biologists.

1) Martincorena I, Roshan A, Gerstung M, Ellis P, Van Loo P et al. Science 2015;348; 880-6. Tumor evolution. High burden and pervasive positive selection of somatic mutations in normal human skin. PUBMED: 25999502; DOI: 10.1126/science.aaa6806 2) Roshan A, Murai K, Fowler J, Simons BD, Nikolaidou-Neokosmidou V and Jones PH. Human keratinocytes have two interconvertible modes of proliferation. Nature cell biology 2016;18;145-56. PUBMED: 26641719; DOI: 10.1038/ncb3282 3) Frede J, Greulich P, Nagy T, Simons BD and Jones PH. A single dividing cell population with imbalanced fate drives oesophageal tumour growth. Nature cell biology 2016;18, 967-78. PUBMED: 27548914; DOI: 10.1038/ncb3400

RESPONSIBILITIES

The post holder will be able to exploit extensive bioinformatics expertise within the Institute. Many of our experiments involve the generation of large quantities of genome and exome sequencing and RNAseq including single cell transcriptomics which require strong computational skills to create high quality mutation calls and carry out statistical analysis to interpret the effects of mutation. Collaborating within the team to integrate genomic analysis with other types of data to resolve the cellular and tissue effects of mutations within tissues is an important part of what we do. The post-holder must be an excellent communicator and be able to understand the scientific background and technical detail of the team's projects, and be to be proficient at devising and implementing software solutions and statistical analysis. This role would suit somebody with significant previous bioinformatics experience who wishes to gain knowledge of next-generation sequencing technologies and their application to clonal evolution, although experience with next-gen data is highly desirable. The successful candidate will work in conjunction with other computational biologists in the group and with other teams at the WTSI.

REQUIREMENTS

A degree or further degree related to biology/genetics/computer science/mathematics ideally at PhD level
Experience of bioinformatics and familiarity with genome data
Evidence of proficiency in Perl/Python programming or another modern computer language
Strong UNIX/LINUX skills
Experience of researching/using/supporting external software packages
Ability to rapidly attain new technical skills and understanding of new technical concepts
A high level of communication skills to be able to elicit complex requirements from, and convey complex information to, group members with different levels of technical knowledge
Ability to quickly adapt to new problems and ideas
Ability to work unsupervised
Excellent problem-solving skills

PREFERENCES

R and/or Matlab programming experience
Experience of working with biological analysis pipelines on multi-node compute clusters
Experience in pathway analysis software
Proficient in statistical analysis of genome-wide datasets

TERMS

Please include a covering letter and CV with your application. If you have any informal queries please contact Phil Jones pj3[at]sanger.ac.uk.

COMPENSATION

Salary Range: £31,498 to £39,729, plus excellent benefits.

HOW TO APPLY

Use the following link: https://jobs.sanger.ac.uk/wd/plsql/wd_portal.show_job?p_web_site_id=1764&p_web_page_id=306174

DEADLINE

Closing date for applications: 5th April 2017 , however applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline.

POLICY

Wellcome Trust Sanger Institute welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

Discussion forums: Opportunity: Senior Bioinformatician @ Wellcome Trust Sanger Institute -- Hinxton/Cambridge, UK

Expanded view | Monitor forum | Save place

Start a new thread:

You have to be logged in to post a reply.