Senior Software Engineer - Translational Genomics
Listed on 2026-06-03
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Software Development
Software Engineer, Data Scientist
Broad Institute of MIT and Harvard
Location: Cambridge, MA (hybrid — in-office at least one to two days per week)
Position: Senior Software Engineer, Full Stack
AboutThe Role
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.
We value technical aptitude and willingness to learn just as highly as pre-existing domain knowledge. You should be able to work independently and solve engineering problems with minimal mentoring on the technical side. The genomic and clinical domain is complex and constantly changing — we’re prepared to invest in a longer learning curve there. You don’t need to arrive knowing genomics.
You do need to arrive ready to build software independently and take ownership of your work.
- Develop features across the full platform: data pipelines (Python/Hail), backend services (Python/Django), databases (Postgre
SQL, Click House), 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.
- Python/Django
- JavaScript/React.js/Redux
- PostgreSQL
- Click House
- Google Cloud Platform (Dataproc, GCS, Cloud Build)
- Hail (genomic data processing framework)
- Docker/Terraform/Helm
- Bash/Unix/Linux environments
- Git
Experience with all technologies is not required. AI‑assisted coding tools can be used where appropriate.
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 Java script 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.
- Experience with React.js, Redux, or similar frontend frameworks.
- Experience with Postgre
SQL, Click House, 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.
This role is designed to grow with you. You’ll start with well‑defined tasks with guidance readily available, progressively take on larger areas of the system, and have a voice in where you focus — while maintaining breadth across the platform. The…
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