Job Description
We are pioneering innovative AI solutions to enhance diagnostic accuracy and improve healthcare outcomes. Our team applies cutting-edge methodologies in artificial intelligence to develop groundbreaking tools for pathologists.
The mission is to elevate the standard of healthcare for millions of patients worldwide. Pathology faces a significant skills shortage, with the number of US pathologists decreasing by 18% between 2007 and 2017 despite an increase in workload. Building comprehensive AI solutions will help scale diagnostic care across the globe.
We unlock digital pathology to provide pathologists with a second set of eyes, using state-of-the-art AI technology to deliver efficient and accurate diagnosis support.
Your Role
You will play a key role in developing and validating software as medical device (SAMD) artificial intelligence (AI) products in pathology. This role combines data science and biostatistics, offering an opportunity to apply clinical and therapy area knowledge to design, analysis, and validation of AI models.
* Model Validation: Develop, validate, and deploy standardised tools to assess the quality, accuracy, robustness, and efficacy of AI models, ensuring alignment with regulatory guidelines and industry best practices.
* Clinical Knowledge Application: Collaborate with clinicians, researchers, and product teams to apply therapeutic area expertise to AI and data analysis, contributing to product and model development.
* BioStatistics for Validation: Conduct statistical analyses to evaluate the performance of AI models in clinical settings.
* Cross-Functional Collaboration: Work with cross-functional teams including engineers, clinicians, researchers, and product managers to ensure AI models are evaluated transparently throughout their development lifecycle.
* Advanced Analytical Approaches: Design and execute complex analyses for clinical validation, analytical validation, and external research studies.
* Clinical Documentation & Reporting: Contribute to clinical study proposals, ethics submissions, protocols, study reports, and manuscripts.
Requirements
A Master's degree or PhD in data science, statistics, biostatistics, bioinformatics, computational biology, or a related field.
Proven experience working as a data scientist or biostatistician, with a focus on clinical data, healthcare, or AI.
Expertise in Python or R, with strong programming skills for data analysis, model evaluation, and automation of analysis workflows.
Experience in clinical research, including statistical planning, study design, and data analysis for clinical validation.
Strong knowledge of ICH GCP, ISO 14155 and/or ISO 20916.
Excellent communication and interpersonal skills, with a demonstrated ability to collaborate across teams and manage complex discussions and decisions.
Benefits
This role offers an opportunity to work at the forefront of AI development in pathology, applying clinical and therapy area knowledge to drive innovation and improve healthcare outcomes.