Job description
Dementia is the greatest health challenge of our century.
To date there is no way to prevent it or even slow its progression, and there is an urgent need to fill the knowledge gap in our basic understanding of the diseases that cause it.
The UK Dementia Research Institute (UK DRI) is the biggest UK initiative driving forward research to fill this gap.
The UK DRI Care Research & Technology centre (CR&T) based at Imperial with close collaboration with Surrey, brings together a diverse team of doctors, engineers and scientists who together can harness recent advances in artificial intelligence, engineering, robotics and sleep science to create new technologies that will deliver the highest quality dementia care in the home. Researchers are investigating new ways to keep people independent in their homes, improve their general health and sleep, and reduce confusion and agitation. Their work is guided by people with dementia and their caregivers, focusing on issues that cause the most problems.
The UK DRI Care Research and Technology centre at Imperial is seeking to appoint an experienced Scientific Project Manager to assist the Director, Prof David Sharp, and the Centre and Research Commercialisation Manager, Danielle Wilson with the strategic coordination of the projects and initiatives within the Centre as a whole.a
Duties and responsibilities
We are looking to appoint a Lead Data Scientist and are looking for individuals who are passionate about data science and data engineering, with a strong background in statistical analysis, programming, and data visualisation, as well as experience leading teams of data scientists and data engineers. You should be proficient in using tools like Python, R, SQL, and machine learning frameworks. This is an exciting opportunity to lead a dynamic team and contribute to a Centre dedicated to making a positive impact.
As the Lead Data Scientist, you will work closely with cross-functional teams to ensure data is properly integrated, pipelines are efficient, reliable, and scalable. You will leverage your advanced analytical skills and domain expertise to define novel data pipelines, extract valuable insights, identify patterns, and build predictive models that can change the diagnostic process. You will lead a team of data scientists and data engineers, providing guidance and mentorship to help them develop their skills and advance their projects. Additionally, you will support early-career scientists by providing guidance during the early stages of various research projects.
Essential requirements
- Degree level qualification in Data Science or related discipline and/or PhD in related area
- Significant development experience in data engineering
- Significant experience in developing algorithms in parallel processing environments
- Experience and/or interest in the field of dementia research
Further information
This role is offered on a full time and fixed term basis until 31st March 2028.
Please contact Danielle Wilson ([email protected]) with any questions or queries.
Documents
- JD_Lead_Data_scientist_July_2023.pdf