Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.
GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.
GRAIL is seeking a Data Analyst to be based in London (UK) to make a pivotal contribution to the analysis of the NHS-Galleri trial. NHS-Galleri is the first randomised controlled trial investigating the efficacy of a multi-cancer early detection (MCED) test in the NHS, with primary endpoints reporting in 2026. You will join the UK team at a very exciting time as we prepare for delivery of clinical studies that have the potential to transform the cancer screening landscape. You will use your exceptional knowledge of NHS cancer and health data sources to demonstrate the clinical utility and value proposition of GRAIL’s Galleri MCED test and support successful UK implementation.
You will normally be working a hybrid of remote and office based, with no less than 3 days in the office; when you are working out of our London office, you will be based at 210 Euston Road, London, NW1 2DA, in line with company needs.
Responsibilities:
You will be responsible for analysing a number of Health Care Resource Use (HCRU) outcomes from the NHS-Galleri trial, including diagnostic, treatment and general healthcare use, and cancer-related healthcare costs.
The role will involve data management and data linkage through to descriptive analysis and advanced statistical modelling.
You will also contribute to other analyses as required to support the reporting of the NHS-Galleri trial and the potential UK implementation of MCED screening.
Required Qualifications:
Bachelor's Degree
8+ years of relevant experience
Extensive experience working with NHS routine health data sources, such as cancer registrations, diagnostic imaging (DIDs), and treatment datasets (HES, SACT and RTDS)
Advanced skills in the processing, cleaning and linkage of large, complex datasets
Data visualisation and communication expertise to effectively present to a variety of audiences, including cross functional teams within GRAIL and externally
A background in medical statistics, epidemiology or health economics
An interest in cancer screening and early detection
Preferred Qualifications:
Advanced degree or PhD preferred
Knowledge of statistical modeling including regression analysis
Experience with HRG codes and NHS Grouper software
Knowledge of health-related Quality of Life measurement
Experience using Google Workspace and MacOS preferred
Excellent verbal and written communication skills, with the ability to engage effectively with both internal and external stakeholders
Strong problem-solving and decision-making abilities, with the capacity to make sound judgments in high-pressure situations
Adaptability and flexibility to thrive in a fast-paced and dynamic work environment
Exceptional organisational skills, keen attention to detail, and the ability to handle multiple tasks and priorities simultaneously
The expected, full-time, annual base pay scale for this position is $89,000 - 111,000 GBP. Actual base pay will consider skills, experience, and location.
Based on the role, colleagues may be eligible to participate in an annual bonus plan tied to company and individual performance, or an incentive plan. We also offer a long-term incentive plan to align company and colleague success over time.
We are an equal employment opportunity employer and we are committed to building a workplace where every individual can thrive, contribute, and grow. We do not discriminate on the basis of race, sex, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!
We will consider all qualified job-seekers with criminal histories in a manner consistent with applicable law.
We are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] to request an accommodation associated with your application for an open position.
Estes cookies são necessários para o funcionamento do sítio Web e não podem ser desactivados nos nossos sistemas. Pode configurar o seu browser para bloquear estes cookies, mas nesse caso algumas partes do sítio Web poderão não funcionar.
Segurança
Experiência do utilizador
Cookies orientados para o grupo-alvo
Estes cookies são instalados no nosso sítio Web pelos nossos parceiros publicitários. Podem ser utilizados por estas empresas para definir o perfil dos seus interesses e mostrar-lhe publicidade relevante noutro local.
Google Analytics
Anúncios do Google
Utilizamos cookies
🍪
O nosso sítio Web utiliza cookies e tecnologias semelhantes para personalizar o conteúdo, otimizar a experiência do utilizador e para individualizar e avaliar a publicidade. Ao clicar em OK ou ao ativar uma opção nas definições de cookies, está a concordar com isto.
Os melhores empregos à distância por correio eletrónico
Junte-se a mais de 5'000 pessoas que recebem alertas semanais com empregos remotos!