DESCRIPTION

• Following the enhancements that are being put in place at CDA and creating test cases to perform Quality Assessment on the features being developed
• Running end to end, boundary value, regression, and integration testing on the features exposed to the end-users
• Running testing on the ETL processes used to load the data for indexing
• Developing automated methods to perform these test cases
• Identifying specific nuances in the datasets that highlight use cases to illuminate possible issues with the functions of the systems
• Documenting and presenting test completion and progress
• Reporting issues to team-members and confirming they have been resolved after patching
• Helping document new system functionality
• Demonstrating to end users how to use the system
• Using your knowledge bioinformatics knowledge of the data and how it is queried to suggest enhancements to the systems for better performance

REQUIREMENTS

• BS/BA (or equivalent) and eight years experience, preferably in bioinformatics, computational biology, computer science, or related field
• Experience with bioinformatics datasets, and using Jupyter notebooks and R scripts in a research environment
• Experience in Linux/Unix work environment
• Proficiency in 3 of the following: SQL, bash scripting, R and Python programming
• Knowledge of developing test cases and performing tests for an enterprise system from an end-user perspective
• Must be able to obtain a NIH Public Trust

• Experience with cloud ecosystems – Google and / or AWS
• Experience performing Extract, Transform and Load on molecular biological data and data characterizing that data
• Interacting with Application Programming Interfaces to query and acquire data from datasets
• Cancer research experience

COMPENSATION

• 401K with company match
• Challenging work
• Internal mobility team dedicated to helping you own your career
• Rewards program for high-performing employees

HOW TO APPLY