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

Apply Now

Data Scientist

Great Ormond Street Hospital
London
1 day ago
Create job alert




Job overview

An excellent opportunity has presented itself at Great Ormond Street Hospital, Data Research, Innovation and Virtual Environments (DRIVE) for a Data Scientist position covering maternity leave. GOSH is at the forefront of using new and innovative technologies in the clinical treatment of patients and a Research and Innovation Platform is seen as essential to support the Trust’s role nationally and internationally as a Biomedical Research Centre. The Trust has implemented and deployed the Aridhia Research and Innovation Platform (research platform) to provide a rich source of data for audit, research and operations and allow us to keep pace with our peers regarding recruitment to clinical trials. The research platform forms the core of the Trust’s Digital Research Environment (DRE), which alongside other systems and technical infrastructure will enable GOSH to capitalise on developments such as artificial intelligence and advanced clinical decision support, underpinning research studies and improving Trust operational processes for many years to come.







Main duties of the job


The Data Scientist (maternity cover) will join the team to accelerate algorithm development and deployment of computer vision and machine learning solutions. The overall aim of this role is to be a critical link in getting innovative data-based tools and technologies, that have the opportunity to improve the lives and outcomes of GOSH patients, into the hands of our clinical teams. We are seeking a team player with a flexible approach to work who wishes to join us at this truly exciting time as we embark on the next phase of GOSH’s ambitious digital transformation programme. The successful candidate will work closely with data science,  machine learning and data engineering teams and develop solutions by adopting some of the best practices of software development lifecycle, Reproducible Analytics Pipelines (RAP). The projects will involve a range of technical and usability challenges in utilising imaging data. 




We are therefore seeking  a candidate who has previous experience in developing deep learning algorithms for paediatric images and text and has excellent technical skills to develop computer vision and machine learning tools but also interested in working with clinical teams to understand how the tools can be created to fit within their existing workflows and provide information to them in an engaging way. 




This is a fantastic opportunity to join our friendly and welcoming team with its great diversity of skills and experience, we look forward to receiving your application. 







Working for our organisation

GOSH is committed to recruiting the best person for the job, based solely on their ability and individual merit as measured against the criteria for the role; through a process that is fair, open, consistent and free from bias and discrimination.


We are committed to being a diverse and inclusive employer and foster a culture where all staff are valued, respected and acknowledged. All applicants will receive consideration for employment without regard to race, colour, national origin, religion, sexual orientation, gender, gender identity, age, disability status or length of time spent unemployed.


We particularly welcome applications from BAME communities, people with disabilities and/or long-term health conditions and LGBT+ community members.


We have policies and procedures in place to ensure that all applicants and employees are treated fairly and consistently. We are proud to be accredited as a Disability Confident Employer, a member of Business Disability Forum and a Stonewall Diversity Champion.


We have active and Executive supported BAME, LGBT+ and Allies, Disability and Long-Term Health Conditions and Women’s staff networks. Staff networks are employee-led groups formed around interests, issues and a common bond or background. Staff network members create a positive and inclusive work environment at Great Ormond Street Hospital by actively contributing to the Trust’s mission, values and efforts specific to inclusion. All of our staff networks are open to any employee.









Detailed job description and main responsibilities

The full job description provides an overview of the key tasks and responsibilities of the role, and the person specification outlines the qualifications, skills, experience and knowledge required. For both documents please view the attachment/s below.









Person specification





GOSH Culture and Values


Essential criteria
  • GOSH Always Values
  • Knowledge and understanding of diverse backgrounds and perspectives.
  • Understanding of Diversity and Inclusion challenges in the workplace.
  • Demonstrable contribution to advancing Equality, Diversity and Inclusion in the Workplace









Academic/Professional qualification/Training


Essential criteria
  • Educated to degree level ( in computer science, software engineering, or other STEM subject including software development/engineering experience





Desirable criteria
  • Research qualification or Higher degree








Experience/Knowledge


Essential criteria
  • Experience of developing and deploying software for innovative scientific/mathematical applications
  • Experience of developing machine learning, computer vision solutions, including the use of common data science packages/tools ( huggingface, pytorch, tensorflow, MLFlow)
  • Experience of modern software development cycle/practice, including issue tracking, testing, documentation, version control and continuous integration and continuous deployment.









Skills/Abilities


Essential criteria
  • Excellent skills in at least one commonly used, open, programming language (Python, R, Java etc.) and a demonstrable ability to quickly learn new languages and paradigms
  • Excellent written, verbal and presentation skills with the ability to communicate complex information to staff at all levels





Desirable criteria
  • Skills in cloud development for Microsoft Azure, AWS or other cloud computing service
















 

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.