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: Competitive salary, 41 days off, generous pension, and professional development opportunities.
- Other info: Diverse and inclusive work culture with tailored training programmes.
- 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: Imperial College London
Imperial College London is an exceptional employer, offering a vibrant and inclusive work culture that prioritises employee wellbeing and professional growth. As a Research Assistant in Data Sciences, you will benefit from a sector-leading salary, generous leave entitlements, and tailored training programmes, all while contributing to groundbreaking research in a world-renowned institution located in the heart of London.
StudySmarter Expert Advice🤫
We think this is how you could land Research Assistant in Data Sciences - London
✨Tip Number 1
Network like a pro! Reach out to people in the field of data sciences, especially those working on similar projects. Attend meetups or webinars, and don’t be shy to ask for informational interviews – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Python, MATLAB, or R. Include projects that demonstrate your ability to handle complex datasets and build predictive models. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with high-dimensional biomedical datasets and how you've tackled real-world data issues. Practice explaining your thought process clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, hit that apply button and let’s get you one step closer to landing that Research Assistant role!
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 role of Research Assistant in Data Sciences. Highlight your experience with statistical programming and any relevant projects you've worked on, especially those involving high-dimensional datasets.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of your experience with machine learning and data analysis, and how they relate to the work we do at StudySmarter.
Showcase Your Communication Skills:Since excellent communication is key, make sure to demonstrate your ability to prepare clear reports and articulate complex ideas. Use your application to show us how you can convey technical information effectively.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Imperial College London
✨Know Your Data Inside Out
Make sure you’re well-versed in the specific datasets and methodologies mentioned in the job description. Brush up on your experience with high-dimensional biomedical datasets and be ready to discuss how you've tackled issues like missing data or measurement variability.
✨Show Off Your Programming Skills
Since proficiency in Python, MATLAB, or R is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to data analysis and machine learning beforehand.
✨Communicate Clearly
As the role requires excellent communication skills, practice explaining complex concepts in simple terms. Be prepared to present your past research findings clearly and concisely, as this will showcase your ability to convey information effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the research programme and the team’s approach to developing diagnostic algorithms. This shows your genuine interest in the role and helps you assess if the position aligns with your career goals.
