Scientific Implementation Associate

Uncountable
New York, San Francisco, Munich, London, Cleveland or PittsburghPosted 27 March 2026

Tech Stack

Job Description

Scientific Implementation Associate Thank you for your interest in Uncountable Implementations! SCIENTIFIC IMPLEMENTATION ASSOCIATE ABOUT UNCOUNTABLE 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. We're a high-impact team that moves fast and gives people real ownership from day one. THE ROLE This role is built for a scientist who is excited about what happens when good data infrastructure meets great research — and who wants to be on the front lines of making that happen. As a Scientific Implementation Associate, you'll work directly with R&D teams at some of the world's leading industrial companies, helping them bring their science into the Uncountable platform. That means understanding how they design experiments, what data they generate, and how they think about their workflows — then translating all of that into a platform configuration that actually reflects their science. It's hands-on, technically engaging work. You'll spend time restructuring and contextualizing real customer datasets, designing data models that capture complex experimental relationships, and iterating on configurations in close collaboration with scientists and engineers. Over time, you'll also take on increasing ownership of full customer implementations — from first meeting through go-live. This is an ideal entry point for someone with a scientific background who wants to build a career at the intersection of science, software, and customer impact — without leaving their domain expertise behind. WHAT YOU'LL DO Support Scientific Implementations - Work alongside senior implementation team members to onboard new customers and support existing ones with new implementation initiatives - Learn and apply Uncountable's implementation methodology to configure the platform for individual customers' experimental workflows and data environments - Take on increasing ownership of implementations over time, eventually leading your own from end to end Design and Configure Complex Scientific Workflows - Translate customers' experimental paradigms — how they define formulations, design experiments, record measurements, and track results — into accurate, well-structured platform configurations - Map scientific data structures (multi-variable formulations, hierarchical sample relationships, linked test methods) onto Uncountable's data model, making principled decisions about how to best represent each customer's science - Work through ambiguous, real-world data environments — customers with years of legacy spreadsheets, idiosyncratic naming conventions, and non-standard workflows — and design configurations that are both scientifically accurate and practically usable - Iterate on platform configurations in working sessions with customers, testing and refining until the system genuinely reflects how their team thinks about their research Engage Directly with Customers - Join and eventually lead meetings with R&D scientists, data managers, and technical stakeholders - Build credibility through scientific fluency — understanding customers' domains well enough to ask the right questions and propose the right solutions - Communicate clearly and empathetically across a wide range of audiences, from bench scientists to R&D directors Contribute to Team Knowledge - Help document reusable configuration patterns across domains (coatings, polymers, pharma, food science, etc.) that accelerate future implementations - Share obser ... (truncated, view full listing at source)
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