Bioinformatics Software Tester

Booz Allen Hamilton•Atlanta, GA

21h•$61,900 - $141,000•Onsite

About The Position

When a user tries new software, they expect it to be intuitive and run smoothly. Functionality, reliability, and user experience are key to successful software development, and that means rigorous testing. That’s why we need you, a knowledgeable test engineer who knows how to thoroughly test software and work with developers to make sure our team releases the best software possible. As a bioinformatics test engineer on our team, you’ll work with scientists, analysts, engineers, and stakeholders to evaluate software developed for the client. You’ll work on creating a test plan with test cases based on user stories. You'll analyze complex biological and public health datasets, support genomic and omics workflows, and validate the functionality and quality of web-based applications and analytical platforms software performs, then document the results and communicate defects to the development team so they can start improving the tool. You'll help transform data into actionable insights while ensuring systems and workflows perform accurately and effectively. You'll leverage your expertise in genomics, automation, and data management to build, test, and support solutions that improve public health outcomes.

Requirements

Experience with bioinformatics and genomic toolkits, databases, and scripting languages including Python, R, or Shell
Experience using parallel programming capabilities through workflow tools, including Nextflow, on Linux-based high-performance computing environments
Experience with next-generation sequencing, omics data analysis, and open-source omics analysis tools and workflows as they apply to public health genomics
Knowledge of nf-core compliance
Knowledge of data management using SQL or NoSQL-based technologies
Ability to conduct analysis, interpretation, and communication of complex large datasets independently, clearly, and concisely
Ability to develop, execute, and automate test cases for complex bioinformatics workflows, reports, and dashboards through web-based applications and APIs
Knowledge of data validation, quality assurance, and software testing best practices
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

Nice To Haves

Experience incorporating CI/CD, DevSecOps, MLOps, or test automation best practices into development and delivery processes
Experience working in cloud-based environments using AWS, Azure, and data warehousing solutions, including Databricks
Experience with machine learning techniques, including neural networks, decision trees, logistic regressions, or dimension reduction
Experience with visualization and reporting tools such as Power BI, Tableau, ArcGIS, or Splunk
Experience working within software development teams using Agile methodologies and defect management processes
Experience with application lifecycle management tools such as Jira, Azure DevOps, or TFS
Experience with API, performance, load, and security testing tools and methodologies
Experience with modern software engineering and testing tools such as Selenium, Playwright, or GitHub Copilot

Responsibilities

Create a test plan with test cases based on user stories.
Analyze complex biological and public health datasets.
Support genomic and omics workflows.
Validate the functionality and quality of web-based applications and analytical platforms software.
Document the results and communicate defects to the development team.
Help transform data into actionable insights while ensuring systems and workflows perform accurately and effectively.
Leverage expertise in genomics, automation, and data management to build, test, and support solutions that improve public health outcomes.