Postdoctoral Fellow - Machine Learning for antimicrobial resistance

Salary in the region of £31,897 - £39,240 (dependent on experience) plus excellent benefits

Fixed term for 2 years 

We are looking for a post-doctoral fellow for two years to work on the application of machine learning approaches to the detection and prediction of antimicrobial resistance determinants in clinical bacterial pathogens. Antimicrobial resistance is an increasing threat, and proper stewardship of our remaining antimicrobials, along with successful treatment of patients, will require rapid prediction of resistance as close to the patient bedside as possible.

The successful candidate will use machine learning tools on large datasets of sequenced and phenotyped clinical isolates to uncover molecular signatures of resistance that can be used to predict resistance from genome sequences, and inform the development of point-of-care tests. They will initially work on Staphylococcus aureus, Escherichia coli and Klebsiella, before broadening out to other pathogens. They will join the group of Julian Parkhill, working closely with the group of Sharon Peacock at the University of Cambridge, and with the startup company Next Gen Diagnostics, on the Wellcome Genome Campus.

Experience of the management and analysis of large genetic datasets using advanced bioinformatic and statistical techniques is essential, and familiarity with machine-leaning approaches will be a strong advantage.

For informal discussion, please contact Julian Parkhill (parkhill@sanger.ac.uk

Job Reference
83368

Essential Skills

  • PhD in statistical genetics, microbial genomics, computational biology, or a related discipline
  • Demonstrated expertise in applying high-throughput bioinformatic approaches to the analysis of large genomic datasets
  • Proven track record of publishing high impact papers in peer-reviewed journals
  • Excellent communication skills, ability to interact with a cross section of people and develop and maintain good working relationships

 

Ideal Skills

  • Experience with the application of one or more machine-learning approaches
  • Experience of writing software for application of novel analysis methods to large-scale data sets
  • Experience of undertaking research work within large multidisciplinary teams

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:

  • 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 hold an Athena SWAN Bronze Award and will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive.

Please include a covering letter and CV with your application. Closing date for applications: 28th March 2019