Research Fellow: Data Science for Biomedical Research

Research Fellow: Data Science for Biomedical Research

Full-Time 57692 - 70512 Β£ / year (est.) No working from home possible
R

At a Glance

  • Tasks: Apply data science to tackle biomedical challenges and analyse large datasets.
  • Company: Join University College London, a leading institution in research and innovation.
  • Benefits: Competitive salary, access to cutting-edge resources, and opportunities for professional growth.
  • Other info: Collaborate with a multidisciplinary team and mentor junior researchers.
  • Why this job: Make a real impact in healthcare by using data science to drive biomedical research.
  • Qualifications: Experience in data science, computational methods, and a passion for biomedical research.

The predicted salary is between 57692 - 70512 Β£ per year.

University College London (UCL) invites applications for a Research Fellow in Data Science / Biomedical Research in London.

The role focuses on applying data science, computational and quantitative methods to address biomedical challenges.

You will work within a multidisciplinary team to analyse large datasets, design research strategies, develop pipelines, and apply ML/statistics to derive insights; contribute to publications and grant activities, and mentor junior researchers.

#J-18808-Ljbffr

Research Fellow: Data Science for Biomedical Research employer: RFCSR

Imperial College London is an exceptional employer, offering a vibrant and collaborative work culture that fosters innovation and interdisciplinary research. As a Research Associate, you will have access to cutting-edge facilities and the opportunity for professional growth through mentorship and publishing your findings, all while contributing to impactful advancements in biomedical engineering within a prestigious academic environment.

R

Contact Details:

RFCSR Recruitment Team

We think you need these skills to ace Research Fellow: Data Science for Biomedical Research

Communication Skills
Problem-Solving Skills
SQL
Python
Attention to Detail
Automation
Data Engineering