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

Apply Now

Senior Genomic Data Scientist (we have office locations in Cambridge, Leeds & London)

Canary Wharf
19 hours ago
Create job alert

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

We are seeking a Senior Genomic Data Scientist to lead the integration of critical genomic data annotation sources into our clinically accredited bioinformatics pipelines.  

This position aims to bridge the gap between cutting-edge genomic research and its application in genomic medicine. You will work within a large, cross-disciplinary team supporting the NHS Genomic Medicine Service, the Generation Study sequencing 100,000 newborns, and other groundbreaking initiatives. 

The role offers support in developing a deep understanding of Genomics England’s healthcare services while empowering you to optimise data integration for diagnostic impact, scientific validity, automation, and regulatory compliance.  

You will also explore new technologies to ensure genomic data sources are integrated effectively, updated reliably, and maintained to the highest clinical and scientific standards. 

Everyday responsibilities include: 

Assess and benchmark public genome annotation resources and tools, conducting custom computational analyses on whole genome sequencing datasets. 
Work collaboratively with specialists across disciplines to define future annotation needs and evaluate emerging technology solutions. 
Support the development and implementation of annotation tools into product planning, including validation, testing, and impact assessment. 
Collaborate with Bioinformatic Engineers on data validation pipelines and quality assurance processes. 
Partner with teams across Genomics England to understand genomic science applications and variant annotation requirements. 
Research scientific literature and explore innovative approaches to genome annotation within the context of medical genomics. Skills and experience for success: 

Experience in one or more areas of human germline DNA analysis, such as rare disease genomics, population genetics, family-based analysis, genetic association testing, risk score prediction, structural variation, pharmacogenomics, or complex genomic regions such as HLA/KIR. 
A deep understanding of resources used in human genome variation interpretation, including both databases and tools.  
A problem-solving mindset, being curious about the details and in thinking and suggestion new ways of tackling complex problems with a broad range of experts in informatics, engineering, quality assurance and risk management.  
Hands-on experience with a wide range of bioinformatic techniques, especially in whole genome sequencing, and a proven track record of leading genomic research projects from conception to successful delivery, demonstrated by publications or other tangible outcomes. 
Excellent programming skills, particularly Python, with experience in cloud-scale data processing or/and high-performance computing. Desirable skills: 

Prior experience of working in highly collaborative, cross disciplinary environments. 
Experience of variant annotation engine software (VEP, Cellbase etc) and the challenges of data updates and validation as relates to scientific or healthcare use cases. 
Demonstratable interest in automation technologies or AI to solve problems and improve the speed of highly validated data.  

Qualifications

PhD with postdoctoral experience, or equivalent experience, in at least one of the following: Genetics/Genomic with a strong computational component, Statistical genetics, Genetic epidemiology or Bioinformatics with the focus on human genomics.  

Additional Information

Salary from: £62,000

Closing date for applications: Monday 8th December

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: 

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).
Family-Friendly: Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits.
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.
Learning & Development: Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required).
Recognition & Rewards: Employee recognition programme and referral scheme.
Health & Wellbeing: Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.Equal opportunities and our commitment to a diverse and inclusive workplace 

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 and 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 undermines our mission and core values and diminishes the dignity, respect and integrity of all parties. Our People policies outline our commitment to inclusivity. 

We aim to remove barriers in our recruitment processes and to be flexible with our interview processes. Should you require any adjustments that may help you to fully participate in the recruitment process, we encourage you to discuss this with us. 

Culture

We have four key behaviours that represent what we would like Genomics England to feel like and the culture we want to encourage, in order for us to achieve our mission. These behaviours help us all work well together, deliver on our outcomes, celebrate our successes and share feedback with each other. You can read about these and other aspects of our culture here

Related Jobs

View all jobs

Senior Machine Learning Engineer

Lead Data Scientist - Drug Discovery

Lead Data Scientist - Drug Discovery

Lead Data Scientist - Drug Discovery

Lead Data Scientist - Drug Discovery

Lead Data Scientist - Drug Discovery

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.