Genomics England

Lead Genomic Data Scientist - Cancer

Job description

Company Description


Genomics England partners with the NHS to provide whole genome sequencing diagnostics. We also equip researchers to find the causes of disease and develop new treatments – with patients and participants at the heart of it all.

Our mission is to continue refining, scaling, and evolving our ability to enable others to deliver genomic healthcare and conduct genomic research.

We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody.


Job Description


Our Lead Genomic Data Scientist is an experienced leader, well embedded in the cancer research community in the UK and internationally.

With strong competences in cancer genomics, algorithms for whole genome analysis, interpretation and data science.

Through proactive collaborations and agile practices, the Lead position brings technical leadership and people management capacity to pioneer the use of long read whole genome sequencing in healthcare.

Based on a solid understanding of biomedical challenges and high-quality code, the Lead position directly contributes to the development of solutions and products that address the needs of our stakeholders.

Everyday responsibilities include:

  • Provide technical and scientific leadership in the areas of Cancer Genome Analysis at the chapter and squad levels
  • Manage, coach and mentor direct reports
  • Development, implementation, and constant improvement of best practices for genome analysis at Genomics England
  • Driving end-to-end projects including planning, stakeholder engagement, problem solving, arriving to conclusions, documentation
  • Benchmarking and improving tools for processing, analysis and interpretation of whole genome data (e.g. alignment, variant callers, annotation, interpretation, quality control).
  • Ensure high relevance and excellent standards of genomic analysis.

Skills and Experience for Success

We anticipate the ideal candidate will have:

Extensive experience in cancer genomics, approaches to call somatic variation and emerging pan-genomic markers & clinical interpretation of cancer genomes

Significant experience in leading a cross-functional analytical team in academic or industry environment.

Up-to-date knowledge of tools and advances used in the bioinformatics and more generally machine learning applied to molecular oncology challenges.

Highly proficient in programming i.e Python

You will also have a deep knowledge of key standards, data sources and tool chains used in NGS and clinical genomics and be familiar with long read sequencing technologies, analytical algorithms and applications which is highly advantageous.


Qualifications


PhD degree or equivalent practical experience in academic or commercial settings.


Additional Information


Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we’re continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including:

  • 30 days’ holiday (plus bank holidays), with additional days for long service awards
  • A generous pension scheme of up to 15% combined contribution
  • Individual learning budgets for every colleague, a Blinkist account and a wide variety of courses on our portal
  • A wide variety of wellness benefits including Gympass, a Headspace account, free weekly Yoga classes
  • Enhanced maternity & paternity benefits
  • Blended working arrangements

Talk to our Talent Team and find out how a career with Genomics England will benefit you.

#LI-Hybrid

As part of our recruitment process, all successful candidates are subject to a Standard Disclosure and Barring Service (DBS) check. We therefore require applicants to disclose any previous offences at point of application, as some unspent convictions may mean we are unable to proceed with your application due to the nature of our work in healthcare.

Genomics England operates a blended working model as we know our people appreciate the flexibility. We expect most people to come into the office 2 times each month as a minimum. However, this will vary according to role and will be agreed with your team leader. For some people this is 1 day a quarter, for others it is several days a week. There is no expectation that staff will return to the office full time unless they want to. The exception would be some of our roles that would require you to be on site full time e.g., lab teams, reception team.

Our teams and squads have, and will continue to, reflect on what works best for them to work together successfully and have the freedom to design working patterns to suit, beyond the minimum. Our office locations at the moment are Cambridge and Farringdon (London) and in Winter 2022 we are relocating our London office location to Canary Wharf. We will also be expanding our regional offices.

Looking ahead to our move to Canary Wharf, we will be designing our new space with blended working in mind, and with the flexibility to adapt to changing work patterns. During the pandemic we will be following government advice on working from home guidance.

#LI-Hybrid

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