Veracyte, Inc.

Data Scientist

Veracyte, Inc.

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $130,000 - $150,000 per year

Job Level

Junior

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
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