Fixed term research assistant position in Machine Learning & Computational Cancer Genomics
This position is for 12 months in the first instance. £26,243-£30,395 The closing date for applications is Sunday 9th June 2019 with interviews estimated to take place week commencing 17th June 2019.
We seek a talented and highly motivated data analyst to join our exciting project applying artificial intelligence methods to understand cancer progression. The project will be based at the Systems Biomedicine lab ([https://www.samarajiwa-lab.org]), MRC Cancer Unit, University of Cambridge. It involves applying deep learning and machine learning to genomics datasets in order to understand cancer progression and to develop early detection approaches. The project will utilise 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 genomic data processing pipelines.
The ideal candidate would have completed a Masters degree (or a PhD) in machine learning, deep learning or in other quantitative fields such as computational biology, bioinformatics, mathematics or engineering. While knowledge of biology is not required, an enthusiasm for solving biomedical problems and acquiring the necessary genomics skill sets is expected. The successful candidate will work within an interdisciplinary team that includes clinicians, cancer researchers, computational biologists, and data scientists.
- Knowledge of machine learning is required.
- High level of proficiency in Python programming is required.
- Good data science skills (data cleaning, processing, modelling and visualisation) required.
- Genomics or Next-generation sequencing related data analysis skills will be advantageous. Training will be provided to candidates that lack these skills.
- R programming skills advantageous. If the candidate does not have intermediate R programming skills, a willingness to learn and use R for biomedical data analysis is required.
Applications should include a full CV and a cover letter. Apply at http://www.jobs.cam.ac.uk/job/21463/ 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.