Senior Data Scientist
Veracyte, Inc.
AWSCloudPython
Data Scientist II
Veracyte, Inc.
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteSalary
💰 $101,000 - $140,000 per year
Job Level
Mid-LevelSenior
Tech Stack
Python
About the role
- Assist in the development of digital pathology AI (DPAI) models with whole-slide image (WSI) data to predict clinical outcome and pathological/morphologic features
- Adapt 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, linking explainability of model features to biology
- Design and carry out experiments to compare and evaluate DPAI methods; document and explain results
- Collaborate with internal and external partners to understand clinical and business requirements and tailor algorithms accordingly
- Work with bioinformaticians, statisticians, and medical experts to document projects and generate analyses and visualizations for peer-reviewed journals
- Explain AI/ML concepts to experts and non-experts and produce formal presentations and academic writing
- Adapt and develop solutions to complex problems under company objectives, in close collaboration with cross-functional teams
Requirements
- PhD in Statistics, Biostatistics, Data Science or equivalent field
- 3+ years of experience of data/applied scientist role or equivalent
- 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)
- Excellent in summarizing and communicating findings from data and attention to detail
- Ability to explain AI/ML concepts to both experts and non-experts, including formal presentation and academic writing
- Experience generating publication-quality figures
- Ability to work effectively in a fast-paced and collaborative environment
- Eagerness to learn new technologies and adapt to evolving requirements
- (Preferred) Knowledge of cancer biology
- (Preferred) Experience working with real world clinical data
