At a Glance
- Tasks: Apply machine learning and health statistics to improve cardiovascular health.
- Company: Join the prestigious University of Oxford's Division of Cardiovascular Medicine.
- Benefits: Enjoy 38 days of annual leave, competitive salary, and extensive training opportunities.
- Other info: Collaborate with top researchers in a dynamic, multidisciplinary environment.
- Why this job: Make a real impact on global health through innovative research.
- Qualifications: Post-graduate degree in relevant fields and experience with large datasets required.
The predicted salary is between 39424 - 39424 £ per year.
An exciting opportunity has arisen for a highly motivated and enthusiastic Postdoctoral Researcher to join the internationally recognised research teams within the Division of Cardiovascular Medicine (CVM), University of Oxford. CVM is renowned for excellence in translational and clinical cardiovascular research, delivering innovative studies that improve patient care and outcomes worldwide.
As Postdoctoral Researcher in Big Data for Cardiovascular Population Health, you will play a key role in applying machine learning, health statistics, and large-scale medical and population datasets to improve the understanding and prevention of cardiovascular and cardiometabolic diseases. You will have the opportunity to conduct data-driven phenotyping, association and causality analyses, and model disease trajectories to identify risk factors and improve disease prediction and prevention. Responsibilities will include conducting detailed analysis of multi-modal data from the UK Biobank, in addition to developing or tailoring analytical tools and resources. The Postdoctoral Researcher will also prepare manuscripts and presentations, and attend scientific seminars. The postholder will work closely with clinicians, statisticians, UK Biobank scientists, and AI researchers in a multidisciplinary environment.
The successful Postdoctoral Researcher candidate must hold a post-graduate degree in Population Health, Mathematics, Statistics, Computing, or a related subject, alongside demonstrable experience working with large scale datasets. Proficiency in the use of statistical programming languages and excellent communication and interpersonal skills are also essential. This is a full-time appointment on a fixed-term contract for one year. The Postdoctoral Researcher will be based at the John Radcliffe Hospital site, Oxford, OX3 9DU. We are seeking candidates who are ideally able to start as soon as possible.
Benefits include:
- Generous family leave schemes, including maternity, paternity, adoption, and carers' leave
- 38 days of annual leave, plus additional leave for continuous service
- Membership of a highly competitive pension scheme
- Oxford Living Wage assurance
- Annual cost-of-living reviews and automatic salary increments up to the top of the grade
- Extensive training and professional development opportunities
- Travel support schemes and a wide range of transport discounts, including bus, train, and bicycle travel
We welcome applications from individuals from all backgrounds, including those under-represented within higher education. No applicant or member of staff shall be unlawfully discriminated against on the basis of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
£39,424 per annum. Grade 7.
Postdoctoral Researcher in Big Data for Cardiovascular Population Health in Oxford employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Researcher in Big Data for Cardiovascular Population Health in Oxford
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like PVH (Tommy Hilfiger/Calvin Klein)!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Postdoctoral Researcher in Big Data for Cardiovascular Population Health at PVH (Tommy Hilfiger/Calvin Klein).
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like PVH (Tommy Hilfiger/Calvin Klein).
✨Apply Directly through Our Website
When you find a suitable opening like Postdoctoral Researcher in Big Data for Cardiovascular Population Health at PVH (Tommy Hilfiger/Calvin Klein), make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Postdoctoral Researcher in Big Data for Cardiovascular Population Health in Oxford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at PVH (Tommy Hilfiger/Calvin Klein), your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PVH (Tommy Hilfiger/Calvin Klein). Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at PVH (Tommy Hilfiger/Calvin Klein)
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PVH (Tommy Hilfiger/Calvin Klein)!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
