Computational Biologist (Fixed Term)
We are seeking a Computational Biologist to join the Wellcome Trust-MRC Institute of Metabolic Science Metabolic Research Laboratories (IMS-MRL). The activities of the role holder will be shared between the Merkle Laboratory and the IMS Bioinformatics and Biostatistics (Bio2) Core Facility.
The goal of the Merkle Laboratory is to elucidate the molecular and cellular basis of disease in order to improve human health, with a particular focus on obesity and neurodegenerative diseases.
The Bio2 Core Facility is a scientifically complex facility, both pursuing scientific research projects and providing support to a wide range of scientists, either within the IMS-MRL or across the wider scientific community in Cambridge and nationally. This position provides abundant opportunities for a talented and driven data scientist to play a pivotal role in developing and enhancing the scientific programmes of the Merkle Laboratory and of the IMS-MRL in general.
As a member of an experienced team, you will contribute to and participate in large-scale projects and discovery efforts. You will be involved in the analysis and integration of clinical data, -omics data also produced by cutting edge technologies such as scRNAseq, ribosome profiling, peptidomics and lipidomics.
You will have great opportunities for personal development and training, being embedded in a world-class scientific community (including, among others, the European Bioinformatics Institute and the Sanger Institute) and benefitting from interaction with the local scientists. Moreover, the direct collaboration with the experimental scientists of the Merkle Laboratory, offers the unique possibility of being involved in the whole data generation and analysis workflow, from the experimental design phase to the analysis processes.
Essential criteria for the role include a PhD, or BSc and comparable experience, in Computational Biology, Statistics, Data Science or related fields, experience in (large scale) biological data analysis and integration and experience in computational (bio) statistics. You must be able to demonstrate advanced knowledge of (bio)statistics involving a critical understanding of relevant theory and/or principles and have knowledge and use of one or more scripting languages e.g. R, Perl or Python, Unix/Linux and Windows batch scripting.
Informal enquiries can be made to Dr. Davide Chiarugi, email: email@example.com
Fixed-term: The funds for this post are available for 2 years in the first instance.
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Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
Closing Date: 30th July 2020
Please quote reference RG23347 on your application and in any correspondence about this vacancy.
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