Senior Software Engineer - Translational Genomics

The Broad Institute•Cambridge, MA

3d•Hybrid

About The Position

The Translational Genomics Group builds open-source software that accelerates rare disease diagnosis. In this role, you will become a key contributor to seqr, a platform used internationally by many research groups and consortia to search large genomic datasets and identify disease-causing variants to empower families and discover novel biology. seqr has helped provide genetic diagnoses to more than 5,000 rare disease families. You will work across the full stack — cloud deployments, data pipelines, backend APIs, databases, and user interfaces. You’ll start with well-scoped tasks guided by our lead software engineer, and progressively take on larger, more complex tasks and ownership of areas of the system as your capabilities grow.

Requirements

Requires 5+ years of related experience with a Bachelor’s degree in related discipline; or 3+ years and a Master’s degree. Candidates with a PhD in a related field will also be considered.
Full-stack experience — comfortable across backend, database, and frontend layers.
Strong Python and Javascript skills.
Ability to work independently and manage your own time effectively.
Openness to AI-assisted development tools, with good judgment about responsible use around sensitive data.
Strong communication skills and comfort working with non-technical collaborators.
Curiosity and adaptability — willingness to learn new domains and technologies on the job.
Availability to be in the office at least twice per week.

Nice To Haves

Experience with React.js, Redux, or similar frontend frameworks.
Experience with PostgreSQL, ClickHouse, or related databases.
Experience with data pipelines, ETL, or data-intensive applications.
Familiarity with Google Cloud Platform, Docker, Terraform, and Helm.
Experience with genomics, bioinformatics, or clinical data environments (HIPAA, PHI).
Experience with Hail or workflow orchestration tools.

Responsibilities

Develop features across the full platform: data pipelines (Python/Hail), backend services (Python/Django), databases (PostgreSQL, ClickHouse), and frontend interfaces (React, Redux).
Assist with deployment related troubleshooting and maintenance
Work independently on assigned tasks, growing in scope and complexity over time.
Collaborate with the lead software engineer on design and architecture, progressively taking on more scoping and design work as you gain experience.
Maintain and extend data pipelines that ingest genomic data, annotate variants, and load them into analytical databases.
Build and improve user interfaces that help researchers find disease-causing variants.
Understand the deployed environment well enough to assist with maintenance and troubleshooting when needed.
Write tests, participate in code review, and contribute to CI/CD workflows.
Collaborate with computational biologists, clinicians, and researchers to translate requirements into well-engineered solutions.