Area: Clostridium Difficile (host-pathogen interactions – cause of antibiotic-associated diarrhoea)
Location: Cambridgeshire
Purpose:
1.Advanced Genomic Techniques and Analysis
2.Anaerobic culturing of Fastidious Organisms from Faecal samples
3.To identify signatures of C. Difficile susceptibility in humans.
MANAGE: large scale genome sequence datasets and perform analysis on datasets generated by NGS
My Client: My client is a leading Scientific research based company who for over 20 years have been involved in some of the most advanced biological discoveries. The role is based out of their offices in Cambridgeshire.
Knowledge & Experience:
PhD: Microbiology, Edpidemiology, Population Genetics, Molecular Evolution, Bioinformatics
Strong background: Bioinformatics and Microbiology
Interest: Learning about Host-pathogen interactions and host-associated microbial communities during health and disease.
Ability in: C, C++, Perl, Python, Java programming
Develop software and new methods to analyse sequence dataIntegrate sequence data with biological experiments and phenotypic data.
Yearn to learn, and to move out of comfort zone.
Solid / Strong publication record peer reviewed
Pressure and deadlines
Initiative and Innovation
Degree in biochemistry or genetics
Leading Projects and Team Management & Training others
Next Generation Sequencing / Large Datasets is a BONUS
Communication and ability to talk to range of collaborators
Salary Range dependent on Experience: £28848 - £38980
Closing Date: Wedsnesday 6th March
To discuss this role in more detail please contact Tom Kenwright on 0161 923 8185
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