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RESPONSIBILITIES

We are seeking a senior/principal bioinformatician to join the Human Genetics Informatics (HGI) team at the Wellcome Sanger Institute. HGI is the development team responsible for providing efficient access to cutting-edge analysis methods for human genetics faculty groups at the Sanger Institute:

This role will involve working as part of the HGI team to support the delivery and optimisation of biological pipelines that produce data for further analysis by human genetics faculty research groups. Key post holder responsibilities will be

Working with on-premise and cloud-based spark clusters to run Hail, a distributed Python library developed at the Broad institute (https://www.hail.is). You will be expected to use Hail to analyse variant data from very large cohorts, and produce summaries and visualisations to aid the Sanger institute scientists in their research. Examples of existing hail code are here: https://github.com/wtsi-hgi/exomeQC-hail-gnomad

Developing, running and maintaining bioinformatic pipelines (especially variant calling, RNASeq and scRNASeq pipelines). Examples of existing pipelines are here: https://github.com/wtsi-hgi/nextflow_ci/tree/rna_seq

As part of the HGI team, you will have access to Sanger's world-class computational resources, including an OpenStack private cloud environment, a 15000+ core computational cluster and many petabytes of high-speed distributed file systems and object stores. You will be expected to work both independently and closely with colleagues to develop, debug, and optimize their code; and to be comfortable communicating directly with scientific researchers regarding analysis requirements. Recent graduates or current students in their final year are also encouraged to apply, although it is strongly desirable that any candidate has substantial development experience outside of coursework (e.g. work experience, participation in open source projects or the pursuit of personal coding projects).

For full role responsibilities, please download the job description: https://jobs.sanger.ac.uk/wd/plsql/wd_portal.view_blob?p_web_site_id=1764&p_web_page_id=454503&p_type=JOBDOC&p_id=331162&p_show=N (PDF).

REQUIREMENTS

Senior Bioinformatician:

Experience in the management and analysis of large genetic data sets
Experience in bioinformatics analysis with data processing pipelines
Demonstrable experience coding python
Experience of high-performance computing and environments (e.g. LSF or Slurm)
Understanding of core computer science concepts and practices
Capable of quickly learning and using the most suitable programming language for the job, including both interpreted and compiled languages
Experience with Git and GitHub
Understanding of Linux based operating systems, libraries, and tools
Excellent communication and presentation skills
Motivation and attention to detail

Principal Bioinformatician:

Expertise analysing next-generation sequencing data
Expertise in python analysis libraries (e.g pandas, numpy)
PhD in relevant quantitative discipline (e.g. Computational Biology, Genetics, Bioinformatics, Physics, Engineering or Mathematics)
Ability to interact across multi-disciplinary team to develop and maintain good working relationships
Ability to anticipate needs and problems while creating solutions
Demonstrable good time management and project management skills
Attention to detail
Experience of supporting junior colleagues

HOW TO APPLY

Apply online: https://jobs.sanger.ac.uk/vacancy/senior-bioinformatician-principal-bioinformatician-454503.html

Please apply with your CV (ideally 2-3 pages) and a cover letter outlining:

Why you would like to work at Sanger
Your specific qualities and skills relevant to this role

For informal queries, please contact Vivek Iyer: vvi[at]sanger.ac.uk.

DEADLINE

Applications will be considered and interviews will take place on an ongoing basis and the role may close early when successful appointments have been made.

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