Full-stack Software Engineer

Valius Sciences•San Francisco, CA

3d•Hybrid

About The Position

Valius is building the diagnostics and bioinformatics company to power the future of cancer care, focusing on deep, comprehensive assessments of DNA, RNA, and protein. The company has developed an approach to maximalist diagnostics, starting with challenging cancers. In its first year, Valius worked with over 75 patients, identifying plausible therapeutic targets not previously discovered. The company is on track to scale patient volume significantly and introduce new diagnostic modalities and analytical approaches into clinical care. Valius has raised a $13.5M seed round and is seeking passionate individuals to join its growing team. The software engineer role involves building the infrastructure and products that bring molecular insights to life, spanning full-stack development. This includes crafting AI-powered interfaces for exploring complex molecular data on the front end, and owning the infrastructure, pipelines, and tooling for internal and external applications on the back end. The role also involves processing and managing patient data in collaboration with the computational biologist team. The position offers significant ownership from day one, direct exposure to the founding team, and potential for engineering leadership growth. The role requires working out of the San Francisco office four days a week.

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.