At a Glance
- Tasks: Join a global initiative to analyse data from wearable sensors for maternal and foetal health.
- Company: The University of Edinburgh, a world-class institution with a vibrant research culture.
- Benefits: Competitive salary, professional development, flexible working, and excellent support.
- Other info: Collaborate with international partners in a dynamic, inclusive environment.
- Why this job: Make a real impact on global health outcomes using cutting-edge technology and research.
- Qualifications: Degree in a scientific field, experience in data analysis, and machine learning skills.
The predicted salary is between 48822 - 48822 £ per year.
The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a Research Fellow (Data Analysis). This post offers the opportunity to work on an exciting new global collaborative initiative using wearable sensors and data driven research approaches to improve maternal and foetal outcomes during childbirth.
You will join a collaborative research project entitled, ‘Intelligent Pregnancy Products Platform; I3P’ to provide near-real time analysis of continuous physiological data and clinical event data in a large scale, international, cluster-randomised trial. You will work in a vibrant research environment collaborating with international stakeholders and industry partners to analyse the results of a trial of 13,400 women across 30 hospitals in 4 countries (India, Rwanda, Nigeria & Pakistan). The IMPALA 2 trial will use novel techniques and wearable technologies to collect continuous vital signs from both the mother and baby during childbirth. You will develop, evaluate, and deploy generative AI methods to predict the onset of maternal and neonatal complications. This body of work has the potential to reduce maternal and foetal complications on a global scale.
Your skills and attributes for success:
- A good degree and higher degree in a scientific or numerate subject, or able to demonstrate relevant and equivalent recent experience.
- Experience in using statistical programming for data analysis and machine learning/deep learning, using python or R.
- Experience in monitoring, analysing and dissemination of complex information.
- Experience developing, evaluating, or deploying generative AI methods, particularly in applied or clinical contexts.
- Ability to work well within a multi-disciplinary team, including international and industry partners.
A career with us has a range of other benefits that can be tailored to your lifestyle:
- Professional development and subject matter expertise
- Opportunities to develop new skills and broaden your experience
- Leading-edge research
- Excellent benefits and support
- Contributing to the work and purpose of the University.
- Flexible/hybrid where the roles allow
- Championing equality, diversity, and inclusion
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.
Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages. On this occasion the University will not consider applicants requiring sponsorship for this role. International workers will therefore only be able to take up this role if they can demonstrate an alternative right to work in the UK.
Key dates to note:
- The closing date for applications is 25 August 2026.
- Unless stated otherwise, the closing time for applications is 11:59 pm (UK time).
- If you are applying from outside the UK, the closing time shown on our adverts will automatically adjust to your browser’s local time zone.
Research Fellow (Data Analysis) employer: The University of Edinburgh
The University of Edinburgh is an exceptional employer, offering a dynamic work environment where innovation meets inclusivity. With a competitive salary and comprehensive benefits, employees are encouraged to grow professionally while contributing to cutting-edge research in cyber-security. Located in Glasgow, the university fosters a vibrant community that values diversity and promotes equal opportunities for all staff members.
Contact Details:
The University of Edinburgh Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Fellow (Data Analysis)
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at The University of Edinburgh, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like The University of Edinburgh. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Research Fellow (Data Analysis)
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at The University of Edinburgh. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at The University of Edinburgh. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at The University of Edinburgh
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at The University of Edinburgh. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at The University of Edinburgh to drive research projects forward.
