Veracyte is looking to develop new diagnostic products by leveraging their extensive clinical cancer database, which includes multi-platform digital pathology, genomic, and clinical outcome data. The goal is to apply and adapt state-of-the-art vision/vision-language foundation models to whole-slide images (WSIs) to create digital pathology AI models that can predict a wide range of clinical and pathology outcomes, ultimately transforming cancer care.
Requirements
- Proficient in Python or equivalent in carrying out AI development.
- Strong skills with data clean-up, manipulation and visualization using tidyverse, ggplot in R or equivalent.
- Experience in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects).
- Ability to explain AI/ML concepts to both experts and non-experts, including formal presentation, academic writing, and generation of publication-quality figures will be key necessary talents.
- Knowledge of cancer biology
- Experience working with real world clinical data.
Responsibilities
- Assist in the development of digital pathology AI (DPAI) models with WSI data to predict clinical outcome and pathological/morphologic features, including adapting open-source state-of-the-art AI foundation models to Veracyte’s data.
- Assist in the evaluation and analyzing of DPAI models with respect to clinical, pathological and genomic outcomes or features, with a view to linking explainability of model features to biology.
- Participate in the design and carry experiments to compare and evaluate DPAI methods.
- Document and explain the results.
- Collaborate with both internal and external partners to understand the clinical and business requirements for given products and tailor algorithms accordingly.
- Work with bioinformatician, statistician, and medical experts to document projects, including generating analyses and visualizations for publication in peer-reviewed journals.
Other
- PhD in Statistics, Biostatistics, Data Science or equivalent field.
- 3+ years of experience of data/applied scientist role or equivalent
- Excellent in summarizing and communicating findings from data and attention to detail.
- Ability to work effectively in a fast-paced and collaborative environment.
- Eagerness to learn new technologies and adapt to evolving requirements.
