As a Forward Deployed Engineer, you’ll work directly with biotech and diagnostics customers to implement high-impact automation and integration solutions while also shaping the core product. You’ll embed with end users, map their scientific workflows, and build the “glue” — Python scripts, APIs, webhooks, and AI agents — that automate their labs and streamline operations.
Everything you build for a customer becomes part of the reusable platform, compounding your impact across the product.
This role is hands-on and outcome-driven: you’ll gather requirements, design and configure workflows, ship integrations, train users, and iterate quickly alongside the founding team.
What You’ll Do
Partner with scientists, lab managers, and IT teams to understand workflows and pain points.
Build automation apps and extensions: Python scripts, REST endpoints, webhooks, and integrations.
Configure high-throughput and parallelized workflows that orchestrate lab instruments and robots.
Stand up integrations with LIMS, ELNs, and other lab or enterprise systems via REST/SOAP and cloud services.
Design and optimize data pipelines to turn complex lab data into clean, reliable datasets.
Ensure scalability, security, and compliance with GLP/GxP, CLIA, and 21 CFR Part 11 where applicable.
Translate bespoke customer needs into productized, repeatable features.
Early Outcomes (First 3–6 Months)
Deliver successful customer go-lives and automation launches.
Build production-grade Python scripts for key lab workflows.
Develop AI agents and integrations tailored to customer needs.
Connect lab instruments, LIMS/ELNs, and downstream systems through APIs and webhooks.
Achieve measurable improvements in workflow speed and error reduction.
Your Profile
5+ years implementing or supporting LIMS or lab software in biotech, pharma, or diagnostics.
Strong Python and API integration skills (FastAPI, Flask) and comfort with REST, webhooks, JSON, OAuth/JWT.
Hands-on experience configuring LIMS workflows, ETL pipelines, and SQL/NoSQL data models.
Familiarity with AI/LLM agent frameworks or ML-based automation.
Understanding of lab instrumentation and robotics (liquid handlers, plate readers, automation schedulers).
Exposure to event systems and queues (e.g., RabbitMQ, Kafka) and workflow orchestration.
Knowledge of regulatory compliance standards (GxP, CLIA, 21 CFR Part 11).
Frontend familiarity (React/TypeScript) a plus for building lightweight interfaces.
Customer-facing delivery experience from requirements to training and launch.
A pragmatic, results-oriented mindset — you ship, measure, and improve fast.
Tech Environment
Python, FastAPI, Postgres, RabbitMQ, AWS services, LangChain/LangGraph, Jupyter, REST APIs, React, MongoDB, and related modern tools.
Why You’ll Love It Here
Small, high-impact engineering team with strong founder access.
Build real AI-driven automation that ships to production labs.
Remote-first, high-trust culture with autonomy and ownership.
Meaningful equity and direct product influence.
Interview Process
Intro chat (role overview + mutual fit)
Technical deep dive (systems design + Python/API integration exercise + customer scenario)
References and offer