At a Glance
- Tasks: Shape the future of health research by developing innovative data products and insights.
- Company: Join a pioneering charity supported by the UK Government, focused on improving public health.
- Benefits: Enjoy a competitive salary, generous holiday, and flexible working arrangements.
- Why this job: Make a real impact in healthcare by analysing data that can change lives.
- Qualifications: Experience in data science, strong analytical skills, and proficiency in Python or R.
- Other info: Collaborative environment with opportunities for professional growth and development.
The predicted salary is between 60000 - 84000 £ per year.
About Us
Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent, and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK.
Despite big improvements in healthcare in our lifetimes, today millions of people in the UK still live in poor health as they get older. Diseases like cancer, dementia, diabetes, and heart disease affect the lives of many people in our communities. Our goal is to create a world-leading resource for health research, to improve our understanding and spot the patterns of how and why common diseases start, so treatments can begin sooner and be more effective.
Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer.
We're building technology to unlock the potential of Our Future Health data for a broad set of users – providing health planners, commissioners, and policymakers with insights about population health to enable better, faster decisions that improve lives. As Senior Scientist, you'll be joining this work at an early stage and will play a pivotal role in shaping it from the ground up. You'll be hands on, working closely with our science, product and technology teams to define requirements, design innovative solutions and rigorously test them as we scale.
In this role, you will:
- Support stakeholders and research customers in framing analytical questions, structuring complex problems and defining their data requirements.
- Bring a data-as-a-product mindset, with a focus on impact and outcomes for end users, ensuring that our research customers get maximum value out of our data products.
- Enable us to deliver prototypes of new data products and features at pace, making sure that they are high quality, trustworthy and understandable, and meet data privacy requirements.
- Channel customer feedback into the product roadmap and ensure that the right opportunities are flagged to the business development team.
Responsibilities will include:
- Contributing to the design and development of high-quality data products that meet stakeholder and research customers' needs (for example, dashboards and visualisations).
- Providing the data and information required to support conversations with stakeholders, for example regarding prototypes or beta releases.
- Defining the data requirements for relevant data products and insights.
- Using agile methods to iterate on data products and visualisations by writing tested and auditable code.
- Contributing to the development of data pipelines, bringing a focus to the needs of end users and acting as a subject matter expert who influences your team.
- Working with relevant internal experts to ensure that data products meet ethical, data privacy and regulatory requirements.
This role will be fully hybrid with the expectation we get together in our Holborn, London office at least once per month.
We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you:
- Track record of applying data science methods across diverse problem domains within health and life sciences, such as clinical analytics, population health, or pharmaceutical research.
- Experience in working a range of large-scale health datasets, for example electronic health records.
- Strong foundation in data analysis and statistical methods relevant for population health management, ideally including risk stratification and population segmentation methods.
- Familiar with common medical and health data coding systems and formats such as ICD-10, SNOMED-CT, Read.
- Proficient in Python or R, SQL and version control.
- Skilled in data visualisation and communicating insights clearly to non-technical audiences. Experience using BI tools (PowerBI, Looker, Omni) is desirable.
- Ability to work in cross-functional teams, and a receptiveness to learning from feedback from others.
- Strong consultancy skills, with the ability to engage stakeholders to understand their needs, clarify objectives, and shape analytical approaches.
- Resilient and adaptable, bringing motivation to problem solve within an ambiguous or changing environment.
- Awareness of how public health systems operate at a national and local level.
Benefits
- Competitive base salary from £70,000.
- Generous Pension Scheme – We invest in your future with employer contributions of up to 12%.
- 30 Days Holiday pro rata + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you.
- Enhanced Parental Leave – Supporting you during life's biggest moments.
- Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice.
- Home & Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice.
- £1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board!
- Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family.
- A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements.
Join us - let's prevent disease together.
We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early.
At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process.
If you do require any reasonable adjustments, please email us at talent@ourfuturehealth.org.uk.
Senior Data Scientist in London employer: Our Future Health
Contact Detail:
Our Future Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Our Future Health. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for those interviews! Research common data science questions and practice your answers. Make sure you can explain your past projects clearly, especially how they relate to health and life sciences.
✨Tip Number 3
Show off your skills! If you have any relevant projects or case studies, create a portfolio to showcase your work. This is a great way to demonstrate your expertise in data analysis and visualisation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of Our Future Health’s mission to improve lives.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data science, especially in health and life sciences. We want to see how your skills align with our mission at Our Future Health!
Showcase Your Impact: When detailing your past projects, focus on the outcomes and impact of your work. We love to see how you've made a difference, so don't hold back on sharing those success stories!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to communicate your skills and experiences, as we appreciate clarity just as much as you do when working with data.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Our Future Health
✨Know Your Data Science Stuff
Make sure you brush up on your data science methods, especially those relevant to health and life sciences. Be ready to discuss your experience with large-scale health datasets and how you've applied statistical methods in real-world scenarios.
✨Understand the Stakeholders
Familiarise yourself with the types of stakeholders you'll be working with. Think about how you can frame analytical questions and structure complex problems to meet their needs. Show that you can engage with them effectively and clarify their objectives.
✨Show Off Your Coding Skills
Be prepared to demonstrate your proficiency in Python or R, SQL, and version control. You might even want to bring examples of your work or discuss projects where you’ve written tested and auditable code, especially in an agile environment.
✨Communicate Clearly
Since you'll be dealing with non-technical audiences, practice explaining your insights in a clear and understandable way. Use examples of data visualisations or dashboards you've created to illustrate your points and show how you can make complex data accessible.