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