Paramount Recruitment

+44 (0)121 616 3460

+44 (0)121 616 3460

+1 833 455 3043

+1 833 455 3043

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Bioinformatics Data Scientist

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 efrancis@pararecruit.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

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Job Reference: GELDataSci_1603270848

Broadcast As: 2731

Salary To: Negotiable

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Recruitment Consultant: Emilie Francis

Recruitment Consultant

Emilie Francis

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