Software Engineer II (Full Stack)

Location: Cambridge, Massachusetts, with hybrid work and in-office attendance at least one to two days per week

Salary: $92,000–$122,667 per year

Company

hirify.global of MIT and Harvard conducts biomedical and genomic research and develops open-source software for rare disease diagnosis.

What you will do

• Develop full-stack features for seqr, including Python/Hail data pipelines, Python/Django backend services, databases, and React/Redux interfaces.
• Maintain pipelines that ingest genomic data, annotate variants, and load results into analytical databases.
• Build interfaces that help researchers identify disease-causing variants in large genomic datasets.
• Assist with cloud deployment maintenance and troubleshooting.
• Write tests, participate in code reviews, and contribute to CI/CD workflows.
• Collaborate with computational biologists, clinicians, researchers, a lead software engineer, and a product owner.

Requirements

• 2+ years of related experience with a bachelor’s degree, 1+ year with a master’s degree, or a related PhD.
• Full-stack experience across backend, database, and frontend layers.
• Strong Python and JavaScript skills.
• Ability to work independently, manage time effectively, and take ownership of technical work.
• Strong communication skills and comfort collaborating with non-technical specialists.
• Availability to work in the Cambridge office at least twice per week.

Nice to have

• Experience with React, Redux, PostgreSQL, ClickHouse, data pipelines, ETL, or data-intensive applications.
• Familiarity with Google Cloud Platform, Docker, Terraform, Helm, Hail, or workflow orchestration tools.
• Experience with genomics, bioinformatics, clinical data, HIPAA, or PHI.

Culture & Benefits

• Small, productive team with clear technical leadership and shared accountability.
• Structured growth from well-scoped tasks toward broader ownership, architecture, and work planning.
• Collaborative environment focused on open science, genomic medicine, curiosity, and cross-disciplinary work.
• AI-assisted coding tools are supported when used responsibly around sensitive data.
• Benefits include medical, dental, vision, life, and disability insurance, 401(k), flexible spending and health savings accounts, paid holidays, paid time off, and family care leave.