Data Scientist III

Veracyte

Completely RemoteContractHealthcare & Telemedicine
Posted Today

Job description

Responsibilities

  • Analyze real-world data to identify patterns for clinical and business cases, including treatment patterns and management costs
  • Identify key clinical events using CPT, NDC, ICD codes, and structured database free text
  • Conduct statistical analysis and survival modeling for clinical events defined from real-world data
  • Visualize findings and summarize them into coherent stories
  • Support data scientists in developing digital pathology AI models
  • Partner with bioinformaticians, statisticians, and medical experts on manuscripts

Requirements

  • PhD in Statistics, Data Science, or equivalent field, or Master's with 4+ years of relevant post-graduate experience
  • Experience working with real-world data from insurance claims and EHR records
  • Expert proficiency in SQL and R
  • Strong skills in data clean-up, manipulation, and visualization using tidyverse and ggplot
  • Proficiency in statistical analysis, survival modeling, and hypothesis testing
  • Experience working in cloud computing environments, preferably AWS
  • Strong ability to summarize and communicate findings from data

Preferred Qualifications

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Knowledge of basic bioinformatics, genomics, and cancer biology
  • Research experience in urological oncology, bioinformatics, or digital pathology
  • Experience developing AI models such as LLM, vision, or time series foundation models

About the Company

Veracyte is a global diagnostics company dedicated to transforming cancer care. By leveraging genomic and clinical data alongside AI capabilities, Veracyte provides clinicians with high-value insights to guide diagnosis and treatment decisions.

Skills & tools

SQLRAWSMachine LearningStatistics

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01PhD in Statistics or Data Science
  2. 02Experience with EHR and insurance claims data
  3. 03Expert SQL and R skills
  4. 04Statistical modeling and survival analysis expertise
  5. 05Cloud computing experience
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