Salary
💰 $130,000 - $150,000 per year
Tech Stack
Amazon RedshiftAWSCloudPythonPyTorchSQLTableauTensorflow
About the role
- 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
- Work 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 and ensure models comply with data governance and security policies
- Mentor junior team members and promote continuous learning in data science practices
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field
- 3+ years (BS) or 1+ years (MS) of experience in data science or a similar role
- Experience with healthcare or genomic data is a plus
- Proficiency in Python, R, or similar languages for data analysis and modeling
- Experience with AWS services (e.g., SageMaker, Redshift) and Snowflake
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch)
- Experience with data visualization tools (e.g., Matplotlib, Tableau)
- Knowledge of SQL and data cataloging concepts
- Strong analytical and problem-solving skills
- Excellent communication skills and ability to collaborate in a Scrum environment
- Ability to work effectively in a fast-paced, innovative environment