Machine Learning Scientist

We are looking for a Machine Learning Scientist to play a critical role in the development of new spatial biology biomarkers for oncology.

You will develop algorithms that make use the of latest machine learning and computer vision techniques to analyse the cell and tissue morphology at different scales. We expect that you have an enthusiasm for AI products and a track record of interesting projects in image analysis to match.

This is a highly creative fastpaced environment. Our teams are interdisciplinary you will work alongside the engineering and clinical science to build robust algorithms and to develop methodologies that drive clinical adoption.

We are an early stage company you will have the opportunity to drive the research direction lead on new projects and make an impact across the organisation. The successful candidate will be able to identify build and champion algorithm products in key strategic areas for GTL.

What youll do

• Design develop and implement advanced deeplearning models to extract valuable insights from histology imaging data
• Collaborate with crossfunctional teams including engineers clinical experts and product managers to identify opportunities for datadriven solutions and interpretable algorithms that address clinical questions
• Develop and maintain scalable data pipelines and infrastructure to support data science projects.
• Work closely with the Product Software and Clinical and Regulatory teams to translate clinicalgrade algorithms into tools suitable for softwareasamedicaldevice
• Communicate results and insights to stakeholders and key decisionmakers. As well as publicly in research publications and blog posts
• Stay uptodate with the latest developments in the field of machine learning medical imaging and data science

What you bring

Essential

• PhD or equivalent practical experience in a technical field
• Experience and a track record of innovation in deep learning and statistical analyses
• Expertise in processing and analysing large image datasets using statistical methods
• Ability to work independently and as part of multidisciplinary team within in a fastpaced startup environment
• Strong communication and collaboration skills. Both remote (excellent written communication is key) and inperson
• Strong programming skills in Python and experience with PyTorch

Please use the below link for job application and quicker response.

Remote Work :

No