Data Scientist - Antimicrobial Resistance at The Wellcome Trust Sanger Institute (Cambridge, UK)

Salary upto £43468pa plus excellent benefits. Fixed-term until 31st August 2019

We are seeking an expert Data Scientist to work on mining and modelling pathogen phenotypic, genomic and epidemiological data for the identification and surveillance of risk patterns. You will work with a team of software engineers, genomic epidemiologists and microbial genomic researchers based at The Centre for Genomic Pathogen Surveillance (CGPS) and lead the utility and application of ML and data analytic methods across our project workspaces.

The role is part of a NIH grant on 'Big Data for knowledge' and is a collaboration between the Centre for Genomic Pathogen Surveillance at the Wellcome Sanger Institute and the WHO Collaborating Centre for surveillance of antimicrobial resistance, Boston, USA.

Your role will be to help develop analytic frameworks for data collated from a large number of WHONET instances (and similar platforms) to develop intelligent alerting for flagging the emergence of risk and the subsequent intelligent use of Whole Genome Sequencing (WGS) (eg for risk flagging, diagnostics and inference of transmission).

You should have expertise in one or more of data mining, statistical analysis, machine learning and modelling and a thirst for utilising your expertise to provide methods for use in real world applications. The post will involve substantial liaison with local and international agencies and partners in Low and Middle Income Countries (LMICs)

Essential Skills

• Advanced degree in Computing, Mathematics, Statistics or similar numerical discipline
• Strong programming skills (including statistical modelling eg Python or R).
• Experience using machine learning algorithms.
• Demonstrable quantitative, qualitative research and analytics experience.
• The ability to come up with solutions to loosely defined analytic problems by using pattern detection over potentially large datasets.
• Desire and ability to work with other quantitative and information disciplines to explore where Data Science and ML can complement existing work and help drive surveillance of AMR in the future.
• A high level of interpersonal skills to be able to elicit complex requirements from, and convey complex requirements to, groups with differing technical backgrounds.
• Ability to prioritise tasks, organise work effectively and crucially, work as part of a team.

Other information



For the surveillance of AMR, hospitals and labs routinely test microbial samples against a range of antimicrobial agents and often store this information in data management systems. Increasingly, whole genome sequencing (WGS) is used to sequence the genome of corresponding isolates which enables correlation of presence/absence of genes (or mutations) with the laboratory tests.

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 extraordinary scientific community, committed to delivering life-changing science with the reach, scale and imagination to solve some of humanity's greatest challenges.

Genome Research Limited is an Equal Opportunity employer. As part of our commitment to gender equality and promoting women's careers in science, we hold an Athena SWAN Bronze Award. 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.

Please include a covering letter and CV with your application.

Closing date: 12th April 2018


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