At a Glance
- Tasks: Support research on diagnostic algorithms for asthma using AI and machine learning.
- Company: Join a world-leading institution focused on impactful scientific research.
- Benefits: Enjoy 41 days off, generous pension schemes, and professional development opportunities.
- Other info: Be part of a diverse and inclusive culture with excellent growth potential.
- Why this job: Make a real difference in healthcare while advancing your career in data sciences.
- Qualifications: MSc in relevant field and experience with large biomedical datasets required.
The predicted salary is between 43863 - 47223 € per year.
The candidate will support a research program focusing on developing diagnostic algorithms for asthma using allergic sensitisation data. The project uses Machine Learning and AI to analyse high-dimensional clinical, immunological and omics data-sets in respiratory and allergic diseases.
What you would be doing:
- You must be organised, highly self-motivated, and possess excellent communication, interpersonal, and computing skills.
- You will be expected to manage your time and performance effectively and demonstrate a proactive, knowledgeable approach, with the ability to solve complex analytical problems supported by robust data management practices.
- You should demonstrate a high degree of proficiency in one or more statistical or programming environments (e.g., Python, MATLAB, or R).
- You should also have experience preparing clear oral and written reports of research findings.
What we are looking for:
- You must hold an MSc in Statistics, Machine Learning, Artificial Intelligence, Data Science, or another relevant quantitative discipline with a strong statistical or machine learning component.
- Demonstrated experience in the analysis of large, high-dimensional biomedical datasets.
- Proficiency with Python, MATLAB or R.
- 2-3 years' experience of complex clinical, immunological, or omics datasets.
- Experience implementing computational pipelines for integrated analysis of clinical and laboratory data, including data harmonisation.
- Experience dealing with real-world clinical data issues, including missing data, measurement variability, and data heterogeneity.
- Experience building and validating predictive models.
- Strong knowledge of multivariate statistics and machine learning, and network analytics.
- Knowledge of principles of reproducible research, data quality control, and good analytical practice.
What we can offer you:
- Relevant training and professional development will be encouraged through both internal opportunities and external courses and seminars.
- The opportunity to attend and present at conferences.
- Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).
- Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing.
- The opportunity to continue your career at a world-leading institution and be part of our mission to use science for humanity.
- Grow in your career with tailored training programmes for academic staff including dedicated support with navigating your career and managing research as well as a transparent promotion process.
This role is for a full-time (35h) and a fixed term contract for 18 months, in the first instance, with the possibility of renewal. This is a full-time post must start no later than September 2026.
For any questions or details about the role, please contact Sabrina Kapur.
Research Assistant in Data Sciences - London employer: What Jobs
Imperial College London is an exceptional employer, offering a vibrant and inclusive work culture that fosters collaboration and innovation in the field of data sciences. With a commitment to professional development, employees benefit from tailored training programmes, generous leave policies, and the opportunity to contribute to groundbreaking research that impacts global health. Located in the heart of London, staff enjoy access to a wealth of resources and networking opportunities, making it an ideal environment for personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Research Assistant in Data Sciences - London
✨Network Like a Pro
Get out there and connect with people in the data science field! Attend meetups, conferences, or even online webinars. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Python, MATLAB, or R. We want to see your analytical prowess in action! Share your GitHub or any relevant links when you apply through our website.
✨Ace the Interview
Prepare for common interview questions related to data analysis and machine learning. We suggest practising your responses with a friend or in front of a mirror. Confidence is key, so show them you’re the right fit for the role!
✨Follow Up
After your interview, don’t forget to send a thank-you email! It shows your appreciation and keeps you on their radar. We believe this small gesture can make a big difference in how they remember you.
We think you need these skills to ace Research Assistant in Data Sciences - London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Research Assistant role. Highlight your experience with statistical programming and any relevant projects you've worked on, especially those involving high-dimensional datasets. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data sciences and how your background makes you a perfect fit for this role. Don’t forget to mention your experience with machine learning and any specific tools like Python or R.
Showcase Your Communication Skills:Since you'll be preparing reports and presenting findings, it's crucial to demonstrate your communication skills in your application. Use clear and concise language, and maybe even include examples of past reports or presentations you've done. We love clarity!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates directly from us. Plus, it’s super easy to do!
How to prepare for a job interview at What Jobs
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of datasets you'll be working with, especially high-dimensional biomedical data. Brush up on your experience with Python, MATLAB, or R, and be ready to discuss specific projects where you've tackled complex data issues.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to solve analytical problems. Think about times when you dealt with missing data or measurement variability, and be ready to explain how you approached these challenges.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining your research findings in a clear and concise manner. You might even want to prepare a short presentation or summary of a past project to demonstrate your ability to convey complex information effectively.
✨Emphasise Your Proactivity
Demonstrate your self-motivation by discussing instances where you took the initiative in your previous roles. Whether it was implementing a new computational pipeline or leading a project, showing that you can take charge will set you apart from other candidates.
