Design and build tools that define, store, and provide meaningful variant, sample, and test level information to support accurate variant interpretation and report generation
Develop and maintain systems that translate raw bioinformatic data into variant and sample level information, including registration, normalization, observation groups, and quality metrics
Scale and optimize storage of sample level information to support growing data needs
Source, maintain, and provide annotations at the variant level necessary for accurate variant interpretation
Automate evidence placement and classification for variant interpretation
Support test content and assay development initiatives
Collaborate with data scientists, variant scientists, and software developers to design and implement solutions that meet stakeholder requirements

Bachelor's degree with 10 or more years of recent professional software development experience
10 or more years of experience with Python (intermediate level or higher)
10 or more years of experience with relational databases and web development frameworks
10 or more years of experience with front-end technologies (e.g., React, Angular, Vue.js, JavaScript/TypeScript, HTML/CSS)
10 or more years of experience with RESTful APIs and microservices architecture
10 or more years of experience with CI/CD pipelines and DevOps practices
10 or more years of experience with cloud platforms (AWS, Azure, or GCP)

Staff Software Engineer, Variant Classification

Key skills