Full-stack Software Engineer

Valius Sciences•San Francisco, CA

23h•Onsite

About The Position

Valius is building the next generation of precision oncology, helping cancer patients and their physicians make more informed treatment decisions through comprehensive molecular testing and rigorous scientific analysis. We’re hiring a software engineer to build the infrastructure and products that bring our molecular insights to life. This role spans the full stack: on the front end, you'll craft AI-powered interfaces that help patients, care teams, and Valius scientists intuitively explore complex molecular data. On the back end, you'll own the infrastructure, pipelines, and tooling that powers our internal and external applications. You’ll also work with our computational biologist team to process and manage patient data. You'll have significant ownership from day one, including direct exposure to, and regular meetings with, the founding team. As we grow, you’ll have the potential to develop into a broader engineering leadership role.

Requirements

3+ years of professional software engineering experience
Strong foundation in front-end (React, TypeScript, Tailwind) and back-end (Python, FastAPI, cloud infrastructure, data pipelines) development
Experience contributing to roadmap development and proactively shaping product strategy
Track record of taking ownership and shipping features end-to-end
Strong communication skills and an ability to collaborate with non-engineering stakeholders
Commitment to our patient-focused mission
Interest in working for a small, early-stage startup

Nice To Haves

Experience in life sciences, genomics, or bioinformatics
Experience working at an early-stage startup
Background in data engineering or working with large datasets
Experience integrating AI features in production applications
Interest in growing into an engineering leadership role as the company scales

Responsibilities

Shape our roadmap: Partner with our science team, founding team, and fellow engineers to collaboratively develop roadmaps for internal and external applications.
Own end-to-end feature delivery: Own the planning and delivery of road mapped features.
Build intuitive front-end applications: Design and develop AI-powered interfaces that make complex molecular data accessible and actionable for patients, clinicians, and scientists.
Own back-end infrastructure and pipelines: Build and maintain the systems that ingest, process, and manage patient molecular data reliably.
Partner with computational biologists: Work closely with our science team to develop tools that accelerate their work.
Uphold engineering rigor: Write clean, well-tested code and contribute to a high standard of reliability and maintainability across the codebase.
Contribute across the company as needed: Pitch in on cross-functional initiatives as we scale.