Full-Stack Software Engineer (Python + React)

Job Description

Location: Remote (US or Canada preferred)

About Us

Bridge Informatics is a fast-growing company that blends deep software engineering expertise with modern bioinformatics. Our core mission is to empower drug discovery teams with software tools that eliminate technical bottlenecks — especially for bench scientists working in genomics and transcriptomics.

You’ll be joining a team that believes in tight feedback loops, clear ownership, thoughtful design, and a healthy skepticism of over-engineering.

About the Role

We’re looking for a full-stack engineer with strong fundamentals who can move quickly, write clean code, and think like a builder. You’ll help us build out our internal platform for running bioinformatics workflows/pipelines — and support production-ready features like job queuing, user configuration panels, audit logging, and usage-based credits.

You don’t need bioinformatics experience, but you must be the kind of engineer who can grok a new domain quickly, ask the right questions, and build scalable systems that scientists love using.

This role is focused on frontend/backend development, not data science or ML.

Responsibilities

Build modular, testable React components for forms, dashboards, and data visualization
Extend our Django REST backend to support user authentication, job tracking, and storage
Integrate frontend and backend cleanly using TypeScript + Python APIs
Follow structured delivery cadence (weekly syncs, Friday check-ins, demo walkthroughs)
Write reliable, production-ready code with clear comments and documentation
Collaborate with bioinformatics experts to map real-world workflows into software logic

Tech Stack

Frontend: React, TypeScript, Material UI
Backend: Django, DRF, Celery, PostgreSQL
Infra: AWS (EC2, S3, SES), GitHub Actions, Docker
Other: Asana, Slack, Linear, GitHub

Qualifications

3+ years building full-stack applications with Python and React
Experience working on a small, async team (Slack/GitHub/Linear-based workflow)
Comfortable writing your own backend endpoints, handling state in React, and deploying to AWS or Docker
Clear communicator — can summarize blockers, estimate timelines, and ask good questions
Strong attention to detail and ownership mindset

Bonus Points (Not Required)

Experience working with scientific data or in biotech/pharma
Familiarity with job queues, workload estimation, or pipeline runners like Nextflow/Snakemake
Prior work in a B2B SaaS or data platform product

How We Work

No micromanagement — we care about outputs and proactive communication
Short standups 2-3 times per week; weekly 1:1s and Friday summary/check ins required
Flexible hours as long as there’s overlap with Eastern Time (3–4 hours/day)
Clear milestone-based expectations for rate increases or contract extensions

To Apply

Send a short intro + GitHub link (or portfolio) to [email protected] with the subject line: