Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Genomics Data Scientist

Genomics England Limited
London
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Full-stack Data Scientist

Lead/ VP AWS Data Engineer

Lead Data Engineer

Lead R Data Scientist - Sustainability

Lead Data Engineer

Lead Data Engineer

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

We are looking to hire a Lead Genomic Data Scientist to join our Bioinformatics Consulting team at Genomics England and lead on a range of cancer genome analysis and interpretation projects in collaboration with and on behalf of our external researchers and industrial partners.

The role of the Lead involves a harmonious blend of technical leadership and people management, with a primary focus on enhancing customized cancer genome analysis within our research environment.

Drawing upon a robust understanding of biomedical challenges and a commitment to producing high-quality code, the Lead Genomic Data Scientist plays a direct and influential role in crafting solutions and products. These outcomes are specifically designed to cater to the distinct requirements of our researchers and industrial collaborators, thereby contributing significantly to the advancement of our objectives.

Everyday responsibilities include:

  1. Providing technical and scientific leadership in the realms of cancer genome analysis.
  2. Actively contributing to the development, implementation, and continual enhancement of best practices for genome analysis at Genomics England.
  3. Spearheading end-to-end complex genomic analysis projects, involving aspects such as design, stakeholder engagement, code development, problem-solving, reaching conclusions, and documentation.
  4. Conducting benchmarking exercises and enhancements for tools used in processing, analysis, and interpretation of whole genome data, encompassing alignment, variant calling, annotation, variant prioritization, interpretation, and quality control.
  5. Ensuring adherence to high standards of relevance, excellence, and clinical safety in genomic analysis, aligning with Genomics England accreditation requirements.
  6. Collaborating seamlessly with internal and external stakeholders to guarantee the successful delivery of projects.
  7. Employing and critically evaluating statistical genetics analysis methods to derive insights from large-scale genomic data.
  8. Managing and leading an inclusive, high-performing team, ensuring the presence of the right skills to fulfill our mission.

Skills and Experience for Success:

  1. In-depth expertise in cancer genomics, understanding tumor drivers, and interpreting genomic data through targeted pathways.
  2. Proficient in utilizing Python for efficient data processing and analysis.
  3. Hands-on experience in developing high-quality and reusable code, with a strong command of Git and CI/CD practices.
  4. The capacity to thoughtfully evaluate statistical and/or machine learning techniques, and proficiently apply them in practical scenarios while interpreting results, considering the assumptions and limitations inherent in the methods.
  5. Experience in leading a cross-functional analytical team in an academic or industry environment.

Qualifications

PhD degree or equivalent practical experience in an industry setting.

Additional Information

Salary from £71,000

Please note for this role there is a requirement to be in our Canary Wharf office a minimum of 2 times per week.

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:

  1. Generous Leave:30 days’ holiday plus bank holidays, additional leave for long service, and the option to apply for up to 30 days of remote working abroad annually (approval required).
  2. Family-Friendly:Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits.
  3. Pension & Financial:Defined contribution pension (Genomics England double-matches up to 10%, however you can contribute more if you wish), Life Assurance (3x salary), and a Give As You Earn scheme.
  4. Learning & Development:Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required).
  5. Recognition & Rewards:Employee recognition programme and referral scheme.
  6. Health & Wellbeing:Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.

Genomics England is actively committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion best practice both within our community and in any other area where we have influence. We are proud of our diverse community where everyone can come to work and feel welcomed and treated with respect regardless of any disability, ethnicity, gender, gender identity, religion, sexual orientation, or social background.

Genomics England’s policies of non-discrimination and equity will be applied fairly to all people, regardless of age, disability, gender identity or reassignment, marital or civil partnership status, being pregnant or recently becoming a parent, race, religion or beliefs, sex or sexual orientation, length of service, whether full or part-time or employed under a permanent or a fixed-term contract or any other relevant factor.

Genomics England does not tolerate any form of discrimination, harassment, victimisation or bullying at work. Such behaviour is contrary to our virtues, undermines our mission and core values, and diminishes the dignity, respect and integrity of all parties.

Genomics England operates a blended working model as we know our people appreciate the flexibility that hybrid working can bring. We expect most people to come into the office a minimum of 2 times each month. However, this will vary according to role and will be agreed with your team leader. There is no expectation that people will return to the office full time unless they want to, however, some of our roles require full-time on-site attendance 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 are: Canary Wharf, Cambridge and Leeds.

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.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.