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Overview:
The successful candidate will work with stakeholders in the Quantitative Medicine and Genomics (QM&G) organization to update and maintain existing data resources and visualization tools and develop new dashboard solutions for evaluating target predictions against observed data.
Responsibilities:

  • Update and maintain existing shiny app and Neo4J graph.
  • Collaborate with team members to design and implement new framework solutions for data analysis and visualization.
  • Develop dashboards to evaluate the effectiveness of predictive models for clinical success against several metrics.
  • Engage with experts in other departments during the development process.
  • Provide technical support and troubleshooting for end users.
  • Create documentation for codebase and tools.

Requirements:

  • Bachelors, (3-5 years). MS degree (0-2) or higher in a quantitative field (Bioinformatics, Computer Science, Computational Genetics, Biostatistics or other field with a strong quantitative and computational background).
  • Proficiency in R or Python programming.
  • Experience with git.
  • Experience using SQL and / or Neo4j databases.
  • Experience working on HPC or cloud environment.
  • Experience developing web apps in shiny or flask.
  • Domain knowledge in bioinformatics and / or genetics.
  • Domain knowledge in machine learning.
  • Experience developing dashboards.