At a Glance
- Tasks: Analyse complex clinical data using machine learning to improve health outcomes for ageing populations.
- Company: Join the Nuffield Department of Primary Care Health Sciences at Oxford University.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional development.
- Other info: Collaborative environment with diverse projects and excellent career growth potential.
- Why this job: Make a real difference in healthcare by tackling adverse drug events in older adults.
- Qualifications: PhD/DPhil in relevant fields and strong programming skills in Python or similar languages.
The predicted salary is between 40000 - 50000 £ per year.
Applications are invited for the post of Data Scientist to join the Cardio‑Metabolic‑Renal Research Group in the Nuffield Department of Primary Care Health Sciences, working closely with Professor James Sheppard and Dr Ariel Wang. The post holder will work on the Adverse Drug Events in Ageing Populations (ADDRESS‑AP) project exploring the association between commonly prescribed medications and adverse events such as delirium and falls. The project is being undertaken in collaboration with the AI for Digital Health Research Group, led by Dr Tingting Zhu in the Institute for Biomedical Engineering. The post holder will collaborate closely across these groups and deliver a project using machine learning methods to analyse complex time‑series clinical data relating to treatment prescription and clinical outcomes. The role will also contribute to a diverse portfolio of projects and teaching using routinely collected healthcare datasets with the aim of generating evidence to support healthy ageing in the community.
Responsibilities
- Provide data analysis plans for studies and conduct detailed machine learning analyses
- Advise staff working on related projects
- Develop methodologies for analysis, identify and troubleshoot technical or scientific problems
- Contribute ideas for generating research income
- Lead dissemination activities through the preparation of research publications, book chapters and presentations at conferences or public meetings
Qualifications
- Close to completion of a relevant PhD/DPhil in Mathematics, Statistics, Computing or a related subject
- Relevant experience in data science
- Good knowledge of machine learning algorithms and statistical methods
- Proven competence in programming in Python or similar languages
- Ability to work collaboratively as part of an interdisciplinary team
- Ability to draft manuscripts for publication and present results at conferences
The postholder will be based in the Radcliffe Primary Care, Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Woodstock Road, Oxford, OX2 6GG as their normal place of work, but will be able to agree a pattern of regular remote working with their line manager.
Health ML Data Scientist for Aging Adverse Events (Remote) employer: University of Oxford
The Nuffield Department of Primary Care Health Sciences offers a dynamic and collaborative work environment, where innovative research meets meaningful impact on community health. As a remote-friendly employer based in the historic city of Oxford, we provide our employees with opportunities for professional growth, access to cutting-edge resources, and the chance to contribute to vital projects that enhance healthy ageing. Join us to be part of a diverse team dedicated to advancing healthcare through data science and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Health ML Data Scientist for Aging Adverse Events (Remote)
✨Tip Number 1
Network like a pro! Reach out to professionals in the health data science field on LinkedIn or at conferences. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to healthcare. This will help us see your practical experience and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of machine learning algorithms and statistical methods. We want to see how you think and solve problems, so practice explaining your thought process clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team and contributing to exciting projects like ADDRESS-AP.
We think you need these skills to ace Health ML Data Scientist for Aging Adverse Events (Remote)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Health ML Data Scientist. Highlight your relevant experience in data science, machine learning, and any specific projects that relate to ageing populations or adverse drug events.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about this role and how your skills align with the project goals. Mention your experience with interdisciplinary teams and your ability to communicate complex ideas clearly.
Showcase Your Technical Skills:Don’t forget to emphasise your programming skills, especially in Python or similar languages. We want to see your competence in machine learning algorithms and statistical methods, so include examples of your work!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands and stands out to our hiring team!
How to prepare for a job interview at University of Oxford
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning algorithms and statistical methods. Be ready to discuss how you've applied these in past projects, especially in relation to healthcare data. This will show that you're not just familiar with the theory but can also put it into practice.
✨Show Your Collaborative Spirit
Since this role involves working closely with various teams, be prepared to talk about your experience in interdisciplinary collaboration. Share specific examples of how you've worked with others to solve problems or achieve project goals. This will highlight your ability to fit into their team dynamic.
✨Prepare for Technical Questions
Expect some technical questions related to data analysis and programming in Python. Brush up on your coding skills and be ready to demonstrate your problem-solving abilities. You might even be asked to walk through a coding challenge or explain your thought process on a complex analysis.
✨Communicate Clearly
Being able to draft manuscripts and present results is key for this role. Practice explaining your research and findings in a clear and concise manner. Think about how you would present your work at a conference or in a publication, as this will be crucial in demonstrating your communication skills during the interview.
