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Genomics Data Scientist

Business Type: Pharmaceutical Company, Biotechnology Company
Job Type: Biotechnology, Pre-Clinical R and D
Job Level: Experienced (non manager)
Position: Full Time
Salary: Plus Benefits
Location: London
Reference: SER/GDS
Closing Date: 25/03/21
Job Details:
Genomics Data Scientist - London!

We are currently recruiting for an amazing client who is working with the NHS to further develop and embed genomic healthcare and research in Britain.

Their work involves working with patients, doctors, scientists, government and industry in order to help researchers access the health data and technology, they need to make new medical discoveries and create more effective, targeted medicines for everybody.

They are now looking for a Data Scientist to join their well established team based in London.


Everyday responsibilities include:

Benchmarking and fine-tuning tools for quality control, processing and analysis of whole genome sequence data, e.g., alignment, variant callers for types of variants
Develop algorithms for variant prioritisation / classification to improve their diagnostic potential or actionability
Performing custom computational analysis for a range of projects in rare disease/germline or cancer/somatic samples and carefully document results using reproducible computing principles
Developing, prototyping, and validating new features for genome analysis in collaboration with internal and external stakeholders
Continuously scan the scientific literature to identify new approaches to genome analysis that can be implemented to improve our capabilities
Contribute to the publication and dissemination of their learnings in the form of scientific papers, white papers, conferences, etc.
Establishing general bioinformatics resources for day-to-day use by colleagues and members Research Environments.

Skills and Experience for Success

We anticipate the ideal candidate will have:

[RD] Excellent knowledge and experience in one or more areas of human DNA analysis, such as rare disease genomics, family-based analysis, genetic association testing, risk score prediction, structural variation, pharmacogenomics, typing of complex genomic regions such as HLA/KIR
[Cancer] Excellent knowledge in cancer genomics, approaches to call somatic variation and interpret cancer genomes.
Strong knowledge of statistics and/or machine learning
Strong knowledge of high throughput sequencing algorithms and available resources. Experience with full cycle of analysing NGS data from sequencing QC to annotation and prioritization of variants.
Strong programming skills (Python, R)
Excellent technical writing skills
A decent publication record demonstrating your ability to conceive and carry to conclusion scientific investigations
Excellent ability to represent and visualise data to derive insights

PhD experience of working within Rare Diseases or Cancer Bioinformatics/Computational Biology/Systems Biology/ or equivalent work experience
Ideally undergraduate studies in a strongly quantitative discipline such as (e.g. physics, computer science, or maths). These skills could also have been developed, for example, through a PhD in computational biology, statistical genomics, or statistical genetics.

This is a great opportunity and in return they offer,

A competitive salary
30 days holiday
A generous pension scheme
Individual learning budgets for every colleague
Plus many more.....

If you wish to discuss this fantastic opportunity further give me a call on

t: +44 (0)121 616 3404 | m: +44 (0)7985 635091 or Email

Key words:Bioinformatics, Bioinformatician, Diagnostics, Oncology, Cancer, Data Science, Machine Learning, PHD, Post-Docs, Cambridge, Algorithm, Statistical Genetics, NGS, Genomics, Computational Biology, R&D, Data Scientist

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Posted: 25/02/2021 | NPJ Ref: 266350
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