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Applications are invited for PhD Studentship: Evaluating and Mining the FDA Adverse Event Reporting System at University of Cambridge

 

Clinical courses

 

Clinical courses

The University of Cambridge is one of the world's oldest universities and leading academic centres. It is made up of over 150 departments, faculties, schools and other institutions.  Cambridge also has 31 colleges which are independent institutions, each with its own property and income. The Colleges appoint their own staff on their own terms and conditions and are responsible for selecting students, in accordance with University regulations. The teaching of students is shared between the Colleges and University departments. Degrees are awarded by the University.

PhD studentship
Applications are invited for a PhD studentship to join the research group led by Dr Andreas Bender from October 2016 to work on a project that will utilise information from the FDA Adverse Event Reporting System (FAERS) in combination with bioinformatics techniques to improve our understanding, and hence predict, drug-drug interactions leading to adverse events. Given growing amounts of accessible information and an increasing number of patients receiving multiple drugs, this is a project of both great academic interest as well as significant practical relevance.

The project will be based at the Centre for Molecular Informatics (see http://www-ucc.ch.cam.ac.uk/), and will be funded by and performed in collaboration with Lhasa Ltd (http://www.lhasalimited.org/). The CMI is home to about 40 scientists working in the cheminformatics and bioinformatics fields. The successful candidate will work closely with researchers modelling compound mixtures in the CMI and industry.

ELIGIBILITY:
Applicants should have (or be about to obtain) a relevant Master's degree in either a relevant natural science (e.g. chemistry, pharmacology, biochemistry), or computer science (e.g. data mining, programming), with working knowledge of the respective other field. Expertise in the areas of scientific programming, statistics, pathway databases, and data mining packages (such as R) would be very beneficial for the post, as would be a general scientific understanding of chemical and biological information. 

The studentship will cover tuition fees and an annual maintenance grant for EU nationals. Non-EU nationals can be considered only if they can cover the differential for overseas tuition fees. 

Applications should include a cover letter, CV, detailed academic transcripts and the contact details for at least two academic referees, and should be sent by email to Dr Andreas Bender (ab454@cam.ac.uk.), to whom any informal enquiries can be addressed. 

Please quote reference MA08231 on your application and in any correspondence about this vacancy.

Additional Information:
Department:
Department of Chemistry
Reference: MA08231
Category: Studentships
Last Date: 29th February, 2016

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