Bioinformatics Full-Stack Developer
On-siteCharlottesville, Virginia, United States
Job Summary
Develop and test full-stack software for whole genome sequencing data analysis, including front-end and back-end components. Implement and optimize reproducible data processing workflows and automated pipelines to ensure consistent, standardized results. Oversee workflow benchmarking, identify inconsistencies, and resolve issues while contributing to computing hardware management and data warehousing. Prepare standard operating procedures, document source code, and generate reports summarizing computational requirements and analysis status. Serve as a task leader within projects, communicating regularly with team members and stakeholders. Manage development projects involving multiple teams using version control and CI/CD practices. This role is full-time and on-site in Charlottesville, VA, requiring a security clearance.
Required Qualifications
- Advanced proficiency working in a Unix/Linux environment
- Advanced proficiency using version control software (e.g., Git) to manage programming code
- Advanced proficiency with C++
- Proficiency in developing software user interfaces
- Proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data
- Proficiency with at least one programming or run-time interpreted programming language
- Proficiency with Continuous Integration and Continuous Deployment/Delivery (CI/CD)
- Experience managing a development project including multiple teams
- Familiarity with issue and project tracking software
- Skilled at time and priority management
- Excellent written and oral communication skills
- 5+ years of previous work experience in a full-stack developer role
- BS/BA in Computer Science, Software Engineering, Bioinformatics, or related field
- Willing and able to complete a successful background screening for a security clearance
- Current security clearance
Desired Qualifications
- Proficiency with Python
- proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis
- Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems
- Proficiency working with and developing using containerization technology
- Familiarity with AWS and/or Azure cloud computing
- MS or PhD in Computer Science, Software Engineering, Bioinformatics, or related field
- Experience managing and analyzing large-scale datasets produced by DNA sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data
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