The Milner Therapeutics Institute (MTI) is a brand-new purpose-built research Institute at the University of Cambridge. The overarching vision of the MTI is to convert pioneering science into therapies. The MTI is breaking new ground in academic/industry interactions and demonstrates a world-leading model of start-ups, academics and pharma companies working side by side at the bench. The computational biology research group at the Institute is developing cutting-edge computational methods and applying them to identify new or better drug targets from the analysis of biomedical datasets across therapeutic areas. The environment of the MTI offers a unique opportunity to work at the interface of academia and industry, applying cutting-edge technologies to drug discovery and patient treatment.
The Milner Therapeutics Institute has recently initiated a collaboration with JW pharmaceuticals, starting in July 2020. The project aims to enable rapid identification, validation, integration and application of advances in computational methods to drug development. The combined expertise of drug discovery from JW Pharmaceutical and machine learning and computational analysis expertise of the MTI presents an exciting opportunity to accelerate the identification and selection of novel targets for drug discovery.
We are looking for a Post-Doctoral scientist to provide support for our JW-Milner collaborative projects. JW pharmaceuticals is keen to publish the results of the projects and being at the University of Cambridge within the MTI will provide substantial scope for academic originality, interpretation and presentation of results. The post-holder will integrate, refine and analyse biological (multi-omics) data in order to identify, validate and prioritise novel drug targets, with a special focus on establishing disease associations. The post-holder will be required to develop a framework for large scale data analysis which will involve collation and analysis of data from a variety of sources including third-party data, in-house data and publicly available datasets.
Applicants will have a PhD in bioinformatics, statistics or a related scientific discipline and a statistical background in machine-learning, survival or Bayesian techniques. It is essential that they have expertise in computational analysis on biological and clinical data and experience with machine learning and statistical computing software such as R and MatLab. Experience in the use of relational databases such as MySQL or PostgreSQL is required, as is experience in Next Generation Sequencing data analysis such as WES, ChIP-seq and RNA-seq, and experience in integration and curation of large-scale databases such as TCGA and ICGC. Candidates will also have a good theoretical knowledge of DNA & RNA bioinformatics, working knowledge of LINUX operating systems. Ability to secure research grant income to underpin a research programme. Excellent communication skills and proven skills in collaborative projects between industry and academia are pre-requisites for the post.
Limited funding: the funding for this post is currently available for 24 months.
Please note that interviews for this post will be held on 15 and 16 July 2020, most likely online but depending on the situation at the time.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Further information about the Milner Therapeutics Institute is available on the website: https://www.milner.cam.ac.uk
Please quote reference PR23245 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.