Note: The job is a remote job and is open to candidates in USA. Veracyte, Inc. is a global diagnostics company focused on transforming cancer care through genomic data, bioinformatics, artificial intelligence, and evidence generation. The Principal Data Scientist will lead the development of oncology-based digital pathology AI models for new diagnostic products, leveraging multimodal oncology data while coordinating technical teams and collaborating with clinical, medical, bioinformatics, and external partners.
Responsibilities
- Develop DPAI models using WSI data to predict clinical outcomes and pathological/morphologic features ensuring their biological explainability, including adapting open-source state-of-the-art AI foundation models to Veracyte’s and collaborator
- Identify the correct data sources for developing DPAI models and lead team efforts to obtain annotation or labels for ML development
- Analyze complex data/ML problems and break them into actionable sub projects or tasks. Coordinate the delegation of tasks to junior team members as technical lead, track progress and ensure correctness of the deliverables
- Collaborate with both internal and external partners to understand the clinical and business requirements for given products and tailor projects and algorithms accordingly
- Partner closely with bioinformatics, statistical, and medical experts to document projects, including writing and generating analyses and visualizations for publication in peer-reviewed journals
- Lead collaboration within and across teams with the ability to manage project execution and completion
- Coordinate with both internal and external medical experts to identify critical research questions and datasets that build evidence for the utility of our models
Skills
- PhD in Data Science, Machine Learning, Applied Math or equivalent field
- 8+ years of experience of data/applied scientist role or equivalent in disease-related field, (cancer preferred)
- Expert in Python or equivalent language for AI/ML development in the context of computer vision / DPAI (this includes data manipulation and preparation)
- Proficient 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 attention to detail when sharing findings
- Demonstrated ability to clearly explain AI/ML concepts to both experts and non-experts in text and figures via formal presentations and academic writing
- Ability to work effectively in a fast-paced and collaborative environment
- Eagerness to learn new technologies and adapt to evolving requirements
- Direct technical leadership and employee management experience, including the ability to break down complex problems into actionable and delegable projects
- Passionate about data, independently eager to learn, and possesses strong analytical, problem-solving, and story-telling skills
- Experience serving as technical leader or manager
- Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD)
- Experience working with real world clinical data and evidence
Benefits
- Additional discretionary bonuses/incentives may be available.
- Restricted stock units may be available.
- Remote-friendly work arrangement for US and Canada-based candidates.
- On-site desk-space is available in South San Francisco or San Diego.
- Opportunities to learn and grow within a purpose-driven environment.
Company Overview