Principal Bioinformatician – Experimental Cancer Genetics
Salary in the region of £43,722- £52,903 dependent on experience) plus excellent benefits
Fixed term for 5 years
The Experimental Cancer Genetics group aims to identify cancer genes and to understand their function (https://www.sanger.ac.uk/research/faculty/dadams/). We are also interested in how genes interact to promote cancer development, and how these interactions may be exploited for therapy. Examples of recent studies include the identification of genes associated with familial melanoma (1), pan-drivers of cancer development (2), and genes that regulate genomic stability (3). The group is a mixture of pure wetlab, mixed wet/dry lab students and postdocs; with computational support provided by two Senior Bioinformaticians.
We are now seeking to recruit a Principal Bioinformatician who can facilitate the scientific work of the group by leading the computational data analysis support for the team and their collaborators. Many of our experiments involve the generation of large quantities of either whole-genome or exome sequencing data which require strong computational skills to 1) create high quality mutation calls 2) carry out statistical analysis to interpret the functional consequences 3) evaluate newly published tools to identify new types of mutations or signatures of mutation. Integrating genomic data with other data forms is also another important part of what we do. The group also performs CRISPR screens and uses the last analysis tools to explore these data.
The post-holder must be a good 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. The role would also involve line management and day to day supervision for bioinformaticians in the team. This role would suit somebody with significant previous bioinformatics experience who wishes to gain knowledge of next-generation sequencing technologies and analyses, 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 WSI.
(1) Wong et al. (2018) Cross-species genomic comparison of human mucosal, canine oral and equine melanoma. Nature Communications – in press.
(3) van der Weyden et al., (2017) Genome-wide in vivo screen identifies novel host regulators of metastatic colonization. Nature, 12:233-236
(3). Robles et al., (2014) POT1 loss-of-function variants predispose to familial melanoma. Nature Genetics, 46:478-481
• A degree or further degree related to biology/genetics/computer science ideally at PhD level
• Strong programming skills
• Experience of working with Git
• Experience of other languages and development tools such as Java, Perl and SQL
• Experience of developing scalable we applications
• 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
• A working knowledge of relational database systems including Mysql
• Experience of researching/using/supporting external software packages
• Ability to rapidly attain new technical skills and understanding of new technical concepts
• 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 understand new scientific processes via communication with laboratory scientists
• Ability to elicit and prioritise requirements
• Ability to develop collaborations 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 work to and meet tight deadlines
• Strong influencing skills
• Existing knowledge of scientific processes
• Exposure to working with, or developing, LIMS
• A history of working in a research orientated environment
• Experience of basic systems administration in Linux
• Experience of integrating applications with third party APIs
• History of contributing to open source projects
The Wellcome Sanger Institute is a charitably funded research centre and committed to training the next generation of genome scientists. Focused on understanding the role of genetics in health and disease and a world leader in the genomic revolution, our mission is to use genome sequences to advance understanding of human and pathogen biology in order to improve human health. We aim to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. Our science is large-scale and organised into Programmes, led by our Faculty who conceive and deliver our science, and supported by our Scientific Operations teams responsible for all data production pipelines at the Institute.
Our Campus: Set over 125 acres, the stunning and dynamic Wellcome Genome Campus is the biggest aggregate concentration of people in the world working on the common theme of Genomes and BioData. It brings together a diverse and exceptional scientific community, committed to delivering life-changing science with the reach, scale and imagination to pursue some of humanity’s greatest challenges.
Our Benefits: Our employees have access to a comprehensive range of benefits and facilities including:
• Group Defined Contribution Pension Scheme and Life Assurance
• Group Income Protection
• Private Health Insurance
• 25 days annual leave, increasing by one day a year to a maximum of 30
• Family friendly environment including options for flexible and part-time working, a childcare voucher scheme, Campus Nursery and Summer holiday club
• Two days paid Employee Volunteering Leave a year
• Employee Discount Scheme
• Campus Gym, tennis courts, cricket pitch and sports hall plus a range of dining facilities
• Active Campus Sports and Social Club
• Free Campus Bus Service
Genome Research Limited is an Equal Opportunity employer. As part of our commitment to equality, diversity and inclusion and promoting equality in careers in science, we hold an Athena SWAN Bronze Award and have an active Equality, Diversity and Inclusion programme of activity. We will consider all applicants without discrimination on grounds of disability, sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law. We are open to a range of UK-based flexible working options including part-time or full-time employment as well as flexible hours due to caring or other commitments.
Please include a covering letter and CV with your application.
Closing date: 19th December 2018. Applications will be considered and reviewed on an on-going basis. We aim to hold face to face interviews in January 2019.