Senior Data Scientist
Veracyte, Inc.
AWSCloudPython
Data Scientist III
Veracyte, Inc.
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteSalary
💰 $130,000 - $171,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSCloudPython
About the role
- Develop 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.
- Evaluate and analyze DPAI models with respect to clinical, pathological and genomic outcomes or features, with a view to linking explainability of model features to biology.
- 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.
- Explain AI/ML concepts to both experts and non-experts, including formal presentation, academic writing, and generation of publication-quality figures.
- Assist in developing innovative solutions to complex problems under company’s objective.
Requirements
- PhD in Data Science, Machine Learning, Applied Math or equivalent field
- 5+ years of experience of data/applied scientist role or equivalent
- Expert in Python or equivalent language for AI/ML development in the context of computer vision / DPAI (this includes data manipulation and preparation.)
- Experience in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects).
- Experience working in cloud computing environments (AWS preferred).
- Demonstrated proficiency in summarizing and communicating findings from data, including an attention to detail when sharing findings.
- Ability to work effectively in a fast-paced and collaborative environment.
- Eagerness to learn new technologies and adapt to evolving requirements.
- Knowledge of cancer biology (preferred)
- Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD) (preferred)
- Experience working with real world clinical data (preferred)
