Ground Truth Labs
GTL is a startup (Oxford University spinout) developing deep learning algorithms for image analysis to revolutionise precision medicine. GTL received a sizable seed stage investment from leading early stage investors in 2023. We grew from scratch to a team of 15 people, delivering commercial projects to some of the largest pharma and biotech companies in the world in less than a year. We are looking to continue our trajectory and develop novel algorithms and technologies to help positively impact patient lives.
We deliver on the basis of our exceptional, interdisciplinary team. As an early team member, you'll have the unique opportunity to help shape our journey and build on our principles of collaboration, focus, and invention.
This is the new era of AI - we are on a mission to improve our understanding of biology and drive better patient outcomes through enhanced tissue analysis.
Your impact
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 of the 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, fast-paced environment. Our teams are interdisciplinary, you will work alongside 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 you’ll do
Design, develop and implement advanced deep-learning models to extract valuable insights from histology imaging data
Collaborate with cross-functional teams, including engineers, clinical experts, and product managers, to identify opportunities for data-driven 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 clinical-grade algorithms into tools suitable for software-as-a-medical-device
Communicate results and insights to stakeholders and key decision-makers. As well as publicly in research publications and blog posts
Stay up-to-date 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 fast-paced startup environment
Strong communication and collaboration skills. Both remote (excellent written communication is key) and in-person
Strong programming skills in Python and experience with PyTorch
Nice to have
Track record in computational pathology and/or single-cell transcriptomics analysis, sequencing
Clinical background or knowledge of cancer biology
Expertise in multimodality integration which includes histology data, clinical data, sequencing or other multi-omics
Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases
Knowledge of industry standards including ISO13485 (quality management for medical devices), ISO14971 (risk management for medical devices), GDPR, FAIR Principles
Opportunity
Working environment
We primarily work remotely with a strong emphasis on efficient processes to ensure high-quality work across asynchronous teams. However, we recognise the importance of sharing knowledge and building relationships with one another and find this easier to do when we spend time together in-person in Oxford or London. Therefore, we host regular team days from these locations.
Exceptional candidates who are willing to regularly (~1/mo) travel to the UK for in-person meetings will be considered. This generally restricts us to candidates based within ~3 hour travel time to London.
As a team, we value:
Concise and engaging communication - we communicate clearly to work effectively in a remote setting
Pride in high-quality work - we pay attention to detail and deliver to the highest standard
A strategic approach - we think critically and creatively about complex issues. We identify the underlying patterns and leverage them to develop effective strategies
Collaborative co-creation - we are open to diverse perspectives, bounce ideas off of each other, and build upon each other's strengths
Equality
We welcome all applications. We are committed to providing equal employment opportunities regardless of age; disability; gender; civil status; pregnancy or parental status; race; religion or belief; sex; sexual orientation or any other basis as protected by applicable laws.
Impact
This is an excellent opportunity to join a rapidly growing start-up and make a real impact in the field of medical imaging and AI. If you are passionate about machine learning and have a proven track record of developing and deploying data-driven solutions, we would love to hear from you.
No agencies please.
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