Salary in the region of £47,812 - £57,853 dependent on experience) plus excellent benefits
3 Years Contract
The Translational Cancer Genomics Group investigates how abnormalities in the DNA of cells contribute to cancer and impact on patient responses to therapy. This provides fundamental insights into disease mechanisms with implications for the development of improved therapies (https://www.sanger.ac.uk/science/groups/garnett-group). The lab is a mixture of wet-lab experimental and data scientists.
We are seeking to recruit a Principal Software Developer to facilitate the work of the group by supporting the computational analysis of next-generation sequencing datasets.
The primary role will be to conduct the genetic analysis of hundreds of new cancer models being generated as part of the Human Cancer Model Initiative (https://www.sanger.ac.uk/science/collaboration/human-cancer-model-initiative-hcmi /https://ocg.cancer.gov/programs/HCMI). The candidate will ideally have experience in the analysis of next generations sequencing data (WGS, RNAseq), including calling of single nucleotide variants, detecting copy number alterations, analysis of mutational signatures and clonal dynamics, and analysis of gene expression data. The candidate should have experience in statistics as well as working with state-of-the-art algorithms. The candidate will also have the opportunity to integrate genomic datasets with results from systematic drug testing and genetic screens, and will support the work of students and postdocs in the laboratory.
The post-holder must be a team player and good communicator, and be able to understand the scientific background and technical detail of the team's projects. The candidate will be proficient at devising and implementing software solutions and statistical analyses. This role would suit somebody with significant previous bioinformatics experience and experience with next-generation sequencing data analysis. The successful candidate will work in conjunction with other computational biologists in the group and the wider Cancer Programme at the Sanger Institute.
Essential Skills
- Analysis of next-generation sequencing data
- Demonstrable record in biostatistics / bioinformatics
- Strong skills in the R programming language or equivalent
- Advanced degree (e.g. PhD) or equivalent research experience
- Demonstrable record of computational data analysis and/or software development
- Excellent communication skills (written and verbal)
- Proficiency in one or more scripting languages
- Ability to work independently and organise own workload
Ideal Skills
- Familiar with working on the unix command line
- Knowledge of cancer genomics
- Experience of working with biological analysis pipelines on multi-node compute clusters
Other information
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: 30th November 2018
Applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline.
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