Veracyte offers exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe.

Requirements

Analyze large, complex datasets from the Veracyte Lakehouse (e.g., genomic, clinical, operational data) to identify trends and patterns.
Develop and deploy machine learning models using tools like Amazon SageMaker and Python for applications such as biomarker discovery and clinical decision support.

Collaborate with the TPM and stakeholders to define data science requirements and user stories for inclusion in the team’s Jira backlog.
Partner with data engineers to ensure data pipelines and cataloged datasets meet analytical needs.
Build, validate, and refine AI/ML models (e.g., LLM refinement, Verachat RAG) to support AI training and operational dashboards.

Optimize models for performance and scalability within cloud environments like AWS and Snowflake.
Translate data insights into actionable recommendations for business operations, R&D, and healthcare providers.
Create visualizations and reports to communicate findings to technical and non-technical audiences.

Contribute to the development of data-driven strategies by providing analytical expertise.
Ensure models and analyses comply with data governance and security policies.
Mentor junior team members and promote a culture of continuous learning in data science practices.