Machine Learning Scientist, Ground Truth Labs
£50-80k
0.1 to 0.5% equity
AI biomarker company
Job no longer available
AI biomarker company
1-20 employees
Job no longer available
£50-80k
0.1 to 0.5% equity
1-20 employees
Company mission
To improve outcomes for every cancer patient with AI driven insights and digital pathology.
Role
Who you are
- PhD or equivalent practical experience in a technical field
- Experience and a track record of innovation in deep learning
- 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
Desirable
- Track record in computational pathology and/or 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
What the job involves
- 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, fast-paced 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
- 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
Our take
Current methods fail to capture the wealth of information within tissue morphology. Seizing this opportunity, Ground Truth Labs aims to unlock invaluable insights from tissue and multi-modal data.
The company originally emerged from the University of Oxford. Since then, Ground Truth Labs has developed a platform that enables collaboration with biotech and pharmaceutical partners, enabling them to delve deeper into therapy development.
Recently, the startup made a significant stride in its journey by announcing the successful closure of a funding round, led by Oxford Science Enterprises. This investment positions the company at the forefront of AI biomarkers and its well set to change the way the health ecosystem approaches data analysis and decision-making.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Jan 2023
$4.3m
SEED
Total funding: $4.3m
Company benefits
- Primarily remote working
- Regular team days from our base in Oxford or London
- Co-working stipend
- Home office equipment
- 25 days holiday + bank and national holidays
Company HQ
City Centre, Oxford, UK
Leadership
Alan Aberdeen
(Co-Founder & CEO)Beyond building GTL he has long track record in building software and tools, including widely used open-source pathology annotation software. Alan studied Engineering at Oxford and HCI in Paris/Berlin
Korsuk Sirinukunwattana
(Co-Founder)Korsuk is a leading AI and computational pathology technologist with a long list of publications from his industry-leading work at GTL as well as research completed at Oxford, Harvard, and Stanford.
Jens Rittscher
(Co-Founder)Jens leads the Quantitative Biological Imaging group at the University of Oxford. Jens has a wealth of industry experience having led research groups focused on computer vision at General Electric.
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