Senior Full Stack Engineer

a4assist • San Francisco Bay Area
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AI Summary

Join a well-funded early-stage startup building a unified platform for scientific research and AI-driven discovery. As a Senior Full Stack Engineer, you will build core data infrastructure, design schemas, and work closely with scientists to translate complex workflows into usable software. This is a massive greenfield opportunity with meaningful ownership and equity.

Key Highlights
Build core data infrastructure
Design schemas for heterogeneous lab data
Work closely with scientists to translate complex workflows
Key Responsibilities
Build core data infrastructure: ingestion, normalization, storage, indexing
Ship across the stack using Python + TypeScript/Next.js
Design schemas that make heterogeneous lab data queryable
Work closely with scientists to translate complex workflows into usable software
Own reliability, scalability, and product quality tradeoffs
Technical Skills Required
Python TypeScript Next.js Django GCP SQL
Benefits & Perks
$180K–$220K salary
1–3% Equity
Visa Sponsorship Available

Job Description


🚀 Hiring: Senior Full Stack Engineer

📍 San Mateo, CA (On-site, 5 days/week)

💰 $180K–$220K + 1–3% Equity

🛂 Visa Sponsorship Available (case-by-case)


An exceptionally well-funded early-stage startup ($3M raised) is building the data infrastructure layer that will power the future of scientific research and AI-driven discovery.


Today, most experimental data across research labs is fragmented across instruments, spreadsheets, and disconnected systems. This team is solving that problem by building a unified platform that transforms raw scientific data into structured, searchable, AI-ready datasets.


The company is already working with leading research organizations, including enterprise R&D teams, academic labs, and national laboratories — and demand is growing rapidly.


This is an opportunity to join very early (team of 3) and help define the technical foundation of a category-defining platform at the intersection of AI, data infrastructure, and science.


🔧 What You’ll Work On

• Build core data infrastructure: ingestion, normalization, storage, indexing

• Ship across the stack using Python + TypeScript/Next.js

• Design schemas that make heterogeneous lab data queryable

• Work closely with scientists to translate complex workflows into usable software

• Own reliability, scalability, and product quality tradeoffs


đź§  Ideal Background

• 4–8 years of full-stack engineering experience

• Strong backend/data infrastructure experience

• Comfortable shipping production systems end-to-end

• Experience with modern web stacks and cloud infrastructure


đź›  Tech Stack

Python • TypeScript • Next.js • Django • GCP • SQL


Why this role?

• Massive greenfield opportunity

• Meaningful ownership and equity

• Work directly with founders

• Real-world AI + scientific impact

• Rare chance to rebuild software infrastructure for cutting-edge research


If you’re interested in building foundational software for the next generation of scientific discovery, DM me or apply directly.


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