Description
The Experimental Cancer Genetics group aims to identify cancer genes and to
understand their function. We are also interested in how genes interact to
promote cancer development, and how these interactions may be exploited for
therapy. The lab is a mixture of wet-lab experimental and data scientists.
About the Role:
We are seeking to recruit two Senior Bioinformaticians who can facilitate the
scientific work of the group by helping drive the computational data analysis
support for the DERMATLAS Project, which aims to profile the somatic
mutational landscape of rare skin tumour types and to understand the germline
drivers of these conditions and the Sanger Comparative Oncogenomics project
which is sequencing large numbers of animal tumours and comparing them to
tumours from humans. You will need to be able to use existing pipelines and
tools, as well as develop new analytical and statistical platforms, to
effectively mine the data that we will generate.
About you:
You must be a good communicator and able to understand the objectives of the
project and the clinical need. You must be proficient at devising and
implementing software solutions and statistical analyses and able to
effectively communicate with the wet-lab scientists. You will also be required
to work with other bioinformaticians and also PhD students and postdocs in the
team. This role would suit somebody with significant previous bioinformatics
experience and a deep understanding of next-generation sequencing data
analysis. You will work collaboratively with other computational biologists in
the Cancer Ageing and Somatic Mutation Programme, as well as collaborators
both within the Wellcome Sanger Institute and externally.
Essential Skills
Technical Skills:
• MSc related to biology/computer science ideally or equivalent experience.
• An interest in genomics, cancer biology and genetics.
• Good programming skills in R
• Experience with modern coding practices: Git, Agile, Cloud and Containers
• Experience of other languages and development tools such as Unix, Java,
Python, and SQL
• Experience with variant calling and transcriptomics
• Strong design and analysis skills including object orientated software
development
• The ability to think laterally in order to combine disparate technologies
• The ability to rapidly troubleshoot and resolve issues in high throughput
24/7 systems
• Experience of researching/using/supporting external software packages
• Ability to rapidly attain new technical skills and understanding of new
concepts
• Experience of basic systems administration in Linux
Competencies and Behaviours:
• Ability to work with a high degree of thoroughness, independently or part of
a team
• Strong interpersonal skills with the ability to communicate with people from
a wide variety of Disciplines
• Ability to develop and maintain collaborative working relationships with
internal and external groups
• Excellent, broad based and self-reliant problem-solving skills
• Good time management skills leading to high quality solutions within often
short timeframes
• Ability to manage prioritise your workload and meet tight deadlines
Other information
Please apply with your CV and a Cover Letter outlining how you meet the
criteria set out above and in the job description.
