At a Glance
- Tasks: Analyse complex clinical data using machine learning to support healthy ageing.
- Company: Nuffield Department of Primary Care Health Sciences, part of Oxford University.
- Benefits: Flexible remote work options, competitive salary, and opportunities for research publication.
- Other info: Collaborative environment with diverse projects and excellent career development opportunities.
- Why this job: Make a real difference in healthcare while working with cutting-edge technology and research.
- Qualifications: PhD/DPhil in relevant field and experience in data science and machine learning.
The predicted salary is between 37000 - 44000 £ 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.
Data Scientist employer: University of Oxford
The Nuffield Department of Primary Care Health Sciences offers an exceptional work environment for Data Scientists, fostering a culture of collaboration and innovation. Located in the vibrant city of Oxford, employees benefit from access to cutting-edge research projects, opportunities for professional development, and a supportive atmosphere that values diverse perspectives. With flexible working arrangements and a commitment to advancing healthcare through data science, this role promises meaningful contributions to community health and personal growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the field, especially those connected to the Nuffield Department. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that showcases your machine learning prowess. When you get the chance to chat with potential employers, having something tangible to discuss can really set you apart.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. Focus on explaining your thought process when tackling data problems, as this is key for a Data Scientist role.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. It shows initiative and enthusiasm, which are always a plus in our books.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your relevant experience in data science, machine learning, and programming skills. We want to see how your background aligns with the ADDRESS-AP project!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your skills can contribute to our research group. Don’t forget to mention any collaborative projects you've worked on!
Showcase Your Technical Skills:Since this role involves machine learning and data analysis, be sure to showcase your technical skills clearly. Mention specific algorithms or programming languages you’re proficient in, like Python, to catch our eye!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
How to prepare for a job interview at University of Oxford
✨Know Your Data Science 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 complex time-series data.
✨Show Your Collaborative Spirit
This role involves working closely with various teams, so highlight your experience in interdisciplinary collaboration. Share examples of how you've successfully worked with others to solve problems or achieve project goals.
✨Prepare for Technical Questions
Expect some technical questions related to programming in Python or similar languages. Practise explaining your coding decisions and methodologies clearly, as this will demonstrate your problem-solving skills and technical competence.
✨Think About Dissemination
Since the role involves preparing research publications and presentations, be prepared to discuss your experience in these areas. Think of specific examples where you've communicated complex data findings effectively to different audiences.
