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.
- Stay updated on emerging tools and techniques to enhance team capabilities.
Benefits
- Competitive compensation
- Benefits
- Discretionary bonuses/incentives
- Restricted stock units
- Professional growth opportunities
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