Bioinformatics Data Scientist
Location: Cambridge or London (initially remote due to Covid-19)
Following the successful completion of one of the largest genomic projects the world has ever seen – the 100,000 Genomes Project – Genomics England are expanding on an ambitious new venture that seeks to sequence the whole genomes of 5 million patients within the next five years. This revolutionary government-funded initiative has produced a wealth of data that could provide crucial insights into rare diseases and cancers, revolutionising healthcare and unlocking a new generation of treatments and diagnostic options that were never before possible.
We are now seeking a talented Data Scientist to join our team of expert Bioinformaticians, and support in developing innovative advanced statistical and machine learning approaches to analyse complex omics data-sets.
The ideal candidate will have:
-A PhD in a quantitative discipline such as Statistical Genetics, Mathematics, Physics or similar or equivalent work experience
-Familiar with a wide range machine learning methods, such as: neural networks, random forests, SVMs, regression, clustering, dimensionality reduction or ensemble methods
-Strong programming ability, proficient with Python, R or similar
-Previous experience of analysing large human genomic datasets is essential
-Experience of working with clinical data-sets would be a plus
-An understanding of rare diseases or cancer biology would be beneficial
On offer is a competitive salary package, stimulating projects and a fast-paced work environment. If you would like to find out more about this fantastic opportunity, send your CV to email@example.com, or call Emilie for an informal chat on 0121 616 3477.
Key words: Data Science, Machine Learning, Genomics, Personalised Medicine, Human Genetics, Statistical Genetics, Quantitative Biology, London, Cambridge, Cancer, Rare Disease
Job Reference: GELDataSci_1603270848
Broadcast As: 2731
Salary To: Negotiable
Job Type: Full Time
Job Term: Permanent
Recruitment Consultant: Emilie Francis