Job:Computational Biology & Bioinformatics Postdoctoral Research Associate / Research Assistant (Fixed Term) in (Epi)Genomic Regulation of Cancer @ University of Cambridge
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@shamithsamarajiwa-7047
Last seen 4.2 years ago
United Kingdom

We seek a talented and highly motivated computational biologist or bioinformatician to join an exciting project applying computational biology to understand gene and epigenome regulation in cancer. The project will be based at the Systems Biomedicine lab https://www.samarajiwa-lab.org, MRC Cancer Unit, University of Cambridge. The position involves applying computational methods to multi-omic datasets (including single-cell technologies) in order to understand gene and epigenome regulation in processes influencing cancer formation. The project will utilize datasets generated by our experimental collaborators as well as publicly available biomedical big data. The lab has access to high-performance computing clusters and its own GPU server as well as a number of high-throughput omic data processing pipelines. The successful candidate will work within an interdisciplinary team that includes clinicians, cancer researchers, computational biologists, and data scientists.

Qualifications:

  • The ideal candidate would have completed a Ph.D. (or M.Sc. if applying for the research assistant position) in computational biology, bioinformatics, genomics or in other quantitative fields such as mathematics, engineering or computer science.
  • Previous experience in cancer-related fields would be advantageous.
  • Enthusiasm for solving biomedical problems and acquiring the necessary genomics data analysis skill sets is expected.

Requirements:

  • Knowledge of Bioinformatics and Computational Biology data analysis required.
  • A high level of proficiency in R/Bioconductor programming is required.
  • A willingness to practice reproducible research is required.
  • Good data science skills (data cleaning, processing, modeling, and visualization) required.
  • Python programming skills and Machine learning are advantageous.
  • Genomics, Epigenomics or Next-generation sequencing related data analysis skills will be advantageous.
  • Training will be provided to candidates that lack these skills.

Salary: Appointment at Research Associate (Postdoctoral) is dependent on having a Ph.D. Where a Ph.D. has yet to be awarded or submitted an appointment will initially be made as a Research Assistant - Grade 5 (£26,715 - £30,942 pa) and amended to Research Associate - Grade 7 (£32,816 - £40,322 pa) when the Ph.D. is awarded. If an individual has not submitted a Ph.D. or is not working towards one but has a Masters in a relevant area they could be appointed as a Research Assistant - Grade 5 (£26,715 - £30,942 pa) dependent on relevant experience.

Fixed-term: The funds for this post are available for 12 months in the first instance. Once an offer of employment has been accepted, the successful candidate will be required to undergo a security check.

Application: Click the 'Apply' button on the application page: https://www.jobs.cam.ac.uk/job/25310/ to register an account with our recruitment system (if you have not already) and apply online.

The closing date for applications is 21 March 2020 with interviews taking place week commencing 30th March 2020.

Please ensure that you upload your Curriculum Vitae (CV) and a cover letter 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 the e-mail address and phone number, one of which must be your most recent line manager.

For queries regarding this post please contact admin@mrc-cu.cam.ac.uk Please quote reference SK22582 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.

cancer computational biology bioinformatics epigenetics Job • 971 views
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