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BACKGROUND

The Wellcome Sanger Institute is seeking for an experienced Bioinformatician to provide computational analysis for the new international Cancer Dependency Map consortium, and to other projects engaged in the analysis of data from genome-editing and functional-genomics screens, in collaboration with Open Targets.

RESPONSIBILITIES

You will join the Cancer Dependency Map Analytics team, actively interacting with the Cancer Dependency Map consortium, whose broad goal is to identify vulnerabilities and dependencies that could be exploited therapeutically in every cancer cell.

You will be able to implement and use new computational pipelines for pre-processing and quality control assessment of data from genome-editing screens and for individual project requirements. This will include extending existing software, writing, documenting and maintaining code packages on public/internal repositories. We encourage applications with the background in genomic data curation and familiarity with the management of data from large-scale in-vitro drug/functional-genomic screens.

Finally, you will interact with Open Targets partners and collaborators, and with web development teams to coordinate data/results flows on the public domain.

This is an exciting opportunity to work at one of the world's leading genomic centres at the forefront of genomic research. You will have access to Sanger's computational resources, including a 15000+ core computational cluster, the largest in life science research in Europe, and multiple petabytes of high-speed cluster file systems.

We are part of a dynamic and collaborative environment at the Genome Campus and, although we seek someone who can work independently, you will have the opportunity to interact with researchers across many programmes at the Institute.

REQUIREMENTS

PhD in a relevant subject area (Physics, Computer Science, Engineering, Statistics, Mathematics, Computational Biology, Bioinformatics)
Full working proficiency in a scripting language (e.g. R, Python, Perl)
Full working proficiency with software versioning systems (eg. Git, gitub, svn)
Previous experience in creating, documenting, and maintaining finished software
Previous experience with implementing omics-data analysis pipelines
Basic knowledge of statistics and combinatorics
Full working proficiency in UNIX/Linux
Ability to communicate ideas and results effectively
Ability to work independently and organise own workload

PREFERENCES

Ability to devise novel quantitative models, use relevant mathematics-heavy literature
Experience in formulating the world in statistical models and applying them to real data
Basic knowledge of genomics and molecular biology
Previous experience with data from high throughput assays
Previous experience with data from genetic screens
Full working proficiency in a compiled language (e.g. C, C++, Java, Fortran)

TERMS

Fixed term for 3 years

LOCALE

Hinxton, Cambridge

COMPENSATION

Salary £36,737 to £44,451 (dependant on experience) plus excellent benefits

HOW TO APPLY

Please click on the following link: https://jobs.sanger.ac.uk/wd/plsql/wd_portal.show_job?p_web_site_id=1764&p_web_page_id=380819

DEADLINE

Closing date: 21st April 2019

POLICY

Please include a covering letter and CV with your application.

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