Data Scientist II

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.