Scientific Implementation Manager
Listed on 2026-06-18
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IT/Tech
Data Analyst, Data Science Manager -
Research/Development
Thank you for your interest in Uncountable Implementations!
About UncountableScience 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 RoleThis is not a typical customer success role. As a Scientific Implementation Manager, you are the person who bridges the gap between a scientist's world and Uncountable's platform — and that requires something most software companies can't offer: someone who genuinely understands both.
You’ll work directly with R&D leaders, bench scientists, and technical teams at some of the world's most innovative industrial companies, helping them translate years of experimental knowledge into a structured, powerful data environment. You’ll configure the platform to reflect how their science actually works, identify where their data lives and how to bring it together, and guide them through a transformation in how they manage and leverage their R&D.
At the same time, you’ll be a critical voice internally — your customer-facing experience will directly shape product development, ensuring we keep building the most useful R&D platform in the industry.
This is a fast‑paced, project‑driven role that sits at the intersection of science, business, and software. If you want to use your scientific background to do something genuinely impactful beyond the bench, this is it.
What You’ll DoLead Scientific ImplementationsServe as the primary scientific point of contact for new customers through the full onboarding journey
Translate a customer's experimental workflows, data structures, and scientific domain into a tailored Uncountable configuration
Restructure and contextualize customer data so it becomes immediately useful, searchable, and actionable in the platform
Lead discovery calls, demos, and working sessions with R&D managers, scientists, and technical stakeholders
Build trusted relationships by demonstrating genuine scientific fluency — you’ll earn credibility because you understand their work, not just their software
Set project timelines, manage implementation milestones, and ensure customers hit their go‑live goals
Architect end‑to‑end platform configurations that faithfully capture a customer's experimental paradigm — from how they define formulations and design experiments, to how they record measurements and track results
Map intricate scientific data structures (multi‑variable formulations, hierarchical sample relationships, linked test methods) onto Uncountable's data model, making principled decisions about how best to represent each customer's science
Work through ambiguous, edge‑case 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 close collaboration with customers, running working sessions where you test, refine, and validate that the system reflects how their team actually thinks about their research
Develop and document reusable configuration patterns across domains (coatings, polymers, pharmaceuticals, food science, etc.) that can accelerate future implementations and inform product development
Act as the voice of the customer internally, surfacing patterns and gaps you see across implementations
Collaborate directly with engineering and product to advocate for features that meet the real needs of R&D teams — your field experience will influence what we build next
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