Bioinformatics Engineer

Key responsibilities: Productionize curation workflows utilizing classical and modern AI/ML approaches for variant classification Automate the integration of evidence from databases such as ClinVar, gnomAD, and PubMed Collaborate with scientists and stakeholders to ensure software solutions meet scientific and product requirements

Required qualifications: Bachelor's degree in Science or related field with 7+ years (Senior) or 9+ years (Staff) of professional software development experience, or a Master's/Ph.D. with 3+ years (Senior) or 5+ years (Staff) Advanced proficiency in production-quality Python, relational databases, and cloud platforms like AWS Experience in productionizing and scaling AI/ML software, particularly agentic systems using frameworks such as LangChain or LangGraph Experience collaborating with scientists to integrate bioinformatics/NGS tools into production workflows Strong judgment in evaluating AI-generated code and pipeline logic for correctness and security before production deployment