Senior Data Scientist (Participant Health Feedback)
Our Future Health, United Kingdom
Job Description
We are looking for a Senior Data Scientist to join our growing data team who will make a significant contribution to the software development process, bringing a focus on the informational needs of end users throughout, and acting as a subject matter expert who influences your team and adjacent teams and promotes best practices.
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.
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.
What you’ll be doing
You’ll be working collaboratively as part of a cross-functional team alongside product managers, designers, software engineers, clinicians and scientists, bringing your data science expertise to ensure that the team is successful. In this role your key responsibilities will include but not be limited to:
- Providing the data and information required to support conversations with participants and stakeholders, for example regarding prototypes or beta releases.
- Defining the end-to-end data requirements for feedback.
- Characterising data quality and defining features in the data, understanding the intricacies of our questionnaire data and additional datasets, and creating variables that capture the salient aspects and address clinical, research or participant needs.
- Fitting and validating models, which could be simple at first but become progressively more complex.
- Supporting the deployment of models, writing logic in python and collaborating with software engineers to develop production-level systems.
- Specifying the rules and logic required to monitor feedback in production, so that we can ensure it is high quality.
Requirements
To succeed, you will have some of the following skills and experience:
- Experience fitting predictive and descriptive models to data using a variety of techniques and assessing model performance.
- A deep understanding of the different types of bias when that can arise and approaches that can be taken to address these.
- Experience of the steps that can be taken to make the results of models explainable and transparent.
- Experience working with a range of large-scale datasets from across health, care or and biomedicine, such as administrative data, questionnaires, electronic medical records or genomics data.
- Proficient in Python and Spark, with experience working with version control.
- Experience collaborating with software engineers on front-end and back-end systems.
- Ability to concisely summarise and explain complex concepts in easy-to-understand terms to colleagues and experts.
- The ability to challenge effectively within cross-functional teams, and a receptiveness to learning from feedback from others.
- Experience of developing data-intensive consumer-facing products in a commercial and/or healthcare environment is advantageous.
- Experience of working within medical device regulations is advantageous.
Benefits
- Up to 86,000 per annum basic salary.
- Generous company pension package with employer contributions of up to 12%.
- 30 days annual leave (plus bank holidays).
- Continuous career development with regular appraisals and learning and development opportunities.
- A lovely new office in Holborn, Central London we offer flexible and remote working arrangements.
Join us - let’s prevent disease together.