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Research Associate - Modelling the Effects of Bioactive Compound Mixtures Using Cheminformatics and Bioinformatics Approaches x 2 (Fixed Term)


Fixed-term: The funds for this post are available for 1 year in the first instance.

Applications are invited for two post-doctoral research associates to join the research group led by Dr Andreas Bender at the Centre for Molecular Science Informatics at the University of Cambridge as soon as possible. The ERC-funded project will utilize cheminformatics and bioinformatics approaches for modelling the effect of mixtures of bioactive compounds, an area of importance both in the medical field (e.g. for combination treatments), as well as consumer safety (e.g. for toxicity modeling).

The research associates will be based at the Centre for Molecular Informatics (http://www-ucc.ch.cam.ac.uk/) in the Department of Chemistry, which is home to about 40 scientists in the cheminformatics and bioinformatics field. The research group which the successful candidate will be based in currently comprises about 22 scientists, and mixture modelling of compounds will be a future focus area of research for the group in the near future.

Applicants should have (or be about to obtain) a relevant PhD in the fields of cheminformatics, bioinformatics, scientific data analysis, machine learning, or related fields. Expertise in the areas of scientific programming (e.g. in Python, Perl, C, Java, etc.), handling chemical and biological information in databases, and data mining and analysis packages (such as R) are essential for the post, as is a general understanding of chemical and biological information. Previous experience in the analysis of bioactivity data (such as conventional high-throughput screening data) or biological readouts (e.g. from high-content screens, or transcriptomics) would be highly advantageous, as is previous demonstrated successful experience in leading projects and working in interdisciplinary teams.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure that you upload your Curriculum Vitae (CV), a covering letter and publications list in the upload section of the online application. If you upload any additional documents that have not been requested, we will not be able to consider these as part of your application.

For informal enquiries, please contact Dr Andreas Bender (email: ab454@cam.ac.uk).

Please quote reference MA11834 on your application and in any correspondence about this vacancy.

The Department holds an Athena SWAN silver award for women in Science, Technology, Engineering, Mathematics, and Medicine.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

Apply online