Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
Uncountable Inc. seeks a scientifically-minded software engineer for the Implementations Engineering team. You will build real, production-grade software connecting the platform to lab instruments and customer environments, using Python and data pipelines.
You'll work directly with customers to understand data landscapes, map schemas, and deliver robust integrations that save scientists hours weekly. This is an ownership-driven role with strong engineering impact.
Thank you for your interest in Uncountable Implementations Engineering!
Science moves slowly — not because researchers aren't brilliant, but because their tools haven't kept up. Uncountable is changing that. We build a unified R&D platform used by the world's leading chemists, material scientists, and biologists to dramatically accelerate how new products are discovered, developed, and brought to market.
Founded by engineers from MIT and Stanford, and trusted by enterprise R&D organizations across chemicals, pharmaceuticals, advanced materials, and food & beverage, Uncountable is on a mission to accelerate industrial R&D by an order of magnitude. Implementations Engineering is a small, high-velocity team — and every person here makes a real difference.
We're looking for a scientifically-minded software engineer to join our Implementations Engineering team. This is a rare hybrid role that sits at the intersection of software development and scientific domain expertise, where you'll spend your time building real, production-grade software that connects Uncountable's platform to the actual instruments, systems, and workflows used in R&D labs around the world.
When a biotechnology company wants their HPLC instrument to automatically push results into Uncountable, or a materials company needs their legacy LIMS data migrated and mapped into a structured format, you're the engineer who makes that happen. You'll write Python scripts, design data pipelines, connect to APIs, and work directly with customers to understand their data environments and deliver solutions that save their scientists hours every week.
This isn't a support role — it's an engineering role with a domain twist. You'll have real ownership over your work, interact directly with customers, and see the direct impact of what you build.
Compensation Range: $90K - $110K