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3 часа назад

Lead Genomic Data Scientist - Cancer

73 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Genomic Data Scientist - Cancer (Cancer Genomics): Leading complex cancer genome analysis and interpretation projects for researchers and industrial partners with an accent on whole-genome data processing, statistical genetics, and high-quality reusable code. Focus on benchmarking alignment, variant calling, annotation, prioritization, and quality-control tools while leading a cross-functional analytical team and coordinating stakeholders.

Location: Hybrid, based in the United Kingdom, with required attendance at the Canary Wharf office in London 1 day per week. Office locations include London, Cambridge, and Leeds.

Salary from: £73,000 per year

Company

hirify.global enables genomic medicine and research through national-scale genomic healthcare programmes, research access, and complex healthcare software systems.

What you will do

  • Provide technical and scientific leadership for cancer genome analysis and interpretation projects.
  • Lead end-to-end genomic analysis projects, including design, stakeholder engagement, code development, problem-solving, conclusions, and documentation.
  • Benchmark and improve tools for whole-genome alignment, variant calling, annotation, prioritisation, interpretation, and quality control.
  • Serve as the main contact for consulting collaborations with researchers and industrial partners.
  • Develop and improve genome-analysis best practices across the organisation.
  • Manage and lead an inclusive, high-performing analytical team.

Requirements

  • In-depth expertise in cancer genomics, tumour drivers, and targeted-pathway interpretation.
  • Strong Python skills for data processing and analysis.
  • Experience developing high-quality reusable code with Git and CI/CD practices.
  • Ability to evaluate and apply statistical and machine-learning methods while considering their assumptions and limitations.
  • Experience leading a cross-functional analytical team in an academic or industry environment.
  • PhD degree or equivalent practical industry experience, plus the ability to tailor presentations for varied audiences.

Culture & Benefits

  • Blended working model with flexible working patterns agreed with the team leader.
  • Up to 30 days of remote working abroad annually, subject to approval.
  • 30 days of annual leave plus bank holidays and additional long-service leave.
  • Enhanced family leave, pension contributions, life assurance, and employee assistance support.
  • Learning budgets, training and certification support, and professional subscription reimbursement.
  • Inclusive workplace with reasonable adjustments available during recruitment and employment.

Hiring process

  • Submit a CV and a cover letter explaining how the skills and experience align with the role.
  • Successful applicants are subject to a Standard DBS background check.

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