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Data Science
Practice Area



Data science is a complex and evolving field, particularly within public health. With unprecedented data types and volume, public health practitioners can develop and answer more hypotheses than ever before. Data Scientists develop new methods to evaluate public health data and improve computational efficiency of existing analyses. At JMC, our Data Science team can help you evaluate opportunities for improving your informatics systems, implement and monitor your chosen solutions, and provide critical contextualization and communication materials for your organization. With a team of dedicated experts and a wealth of experience in the sciences and public health, we specialize in transforming raw data into actionable intelligence that drives impactful solutions for public health initiatives.


We are a vibrant and innovative group of data analysts, bioinformaticians, and public health experts with practical, hands-on experience in data management, analysis, and visualization. Our extensive experience in public health informatics applications and partnerships enables a comprehensive understanding of diverse data needs and contexts. We are driven by our passion for leveraging data to make informed decisions and commitment to drive efficiency in delivery.

What we do:
Data Science


  • Data Strategy
  • Data Governance and Management
  • Data Quality and Evaluation
  • Data Analysis
  • Data Visualization
  • Communication and Interpretation
  • Bioinformatics Training and Results Interpretation
  • Pipeline Selection and Implementation
  • Pipeline Validation and Quality Control
  • Pathogen Identification and Classification
  • Data Lake/Warehouse Design and Development

Use Cases:

  • Electronic Laboratory Reporting (ELR)
  • Electronic Case Reporting (eCR)
  • Public Health Surveillance Systems
  • Database Design and Architecture
  • Dashboarding and Reporting Design and Development
  • NGS (Next Generation Sequencing)
  • Sequencing Informatics Solutions

Bridging the Informatics Gap

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