About the Role
The School of Informatics, University of Edinburgh, is inviting applications for two Biomedical Data Scientists to join its newly established Biomedical Data Intelligence Hub. This Hub will significantly bolster research in Artificial Intelligence (AI) for quantitative biology and biomedicine, serving as a vital research and training support unit. It partners closely with the UKRI Centre for Doctoral Training in Biomedical AI, which currently supports over 40 doctoral students in medical informatics, biotechnology, drug discovery, medical imaging, and signal processing. The Hub's core mission is to enhance and accelerate the Centre’s ongoing projects by providing advanced data science expertise and cutting-edge compute capabilities.
Responsibilities
- Develop data solutions within a team of Data Scientists and a Software Engineer.
- Utilize a combination of AI, Machine Learning, and other data science techniques, with dedicated access to a new GPU server for state-of-the-art compute.
- Implement statistical models, data analysis pipelines, or deep learning architectures for diverse tasks, including computer vision, time-series analysis, high-dimensional clustering, or large language models.
- Transform high-level scientific goals into precise, AI-driven research questions and methodologies.
- Offer technical mentorship to Centre students, fostering a collaborative, inclusive, and supportive environment.
- Work on goal-orientated projects with diverse data sources and requirements specified by project owners.
- Engage in close interactions with various departments, including the School of Informatics, the School of Biological Sciences, the Institute for Genetics and Cancer, the Usher Institute for public health, and the NHS.
- Handle various data modalities, such as cellular and genomic data, medical imaging data, neural data, healthcare and patient record data, and molecular/structural data.
Requirements
- Degree in a relevant field (e.g., mathematics, data science, artificial intelligence, statistics, biomedical/biological sciences).
- Experience in a role involving data science, including managing, structuring, visualizing, analysing data, and building statistical or machine learning tools.
- Fluency in one or more data science programming languages (R, Python with NumPy/pandas, Julia) with experience in writing documentation.
- Excellent written and verbal communication skills, including the ability to present technical information and write structured technical reports.
- Ability to assimilate new ideas and translate them into practical, applied techniques, and a willingness to continuously learn new techniques.
- Proven time management skills across competing tasks requiring rapid context switching.
- Hands-on experience using a range of computational techniques to achieve meaningful outcomes.
- Desire to apply and grow technical skills in a new team focused on AI solutions with cutting-edge biological data modalities.
- Cares deeply about well-designed models, algorithms, and data pipelines.