Scientific Implementation Associate

Uncountable • San Francisco, NY

3h

About The Position

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.

Requirements

• Scientific background: A B.S. or higher in chemistry, materials science, biology, chemical engineering, or a related field — or 1+ years of hands-on experience in a scientific or technical role
• Data fluency: Comfort working with data in Excel or similar tools; Python or other scripting skills are a significant plus
• Software fluency: Hands-on comfort working with scientific or technical software — whether that's an ELN, LIMS, instrument software, or data analysis tools. You don't need to be a software engineer, but you should be someone who picks up new tools quickly and isn't intimidated by data-heavy environments
• Communication: Strong written and verbal communication skills, with the ability to explain technical concepts clearly to varied audiences
• Empathy and adaptability: The ability to understand not just what a scientist is saying, but what they actually need — and to adapt to different organizational styles and working environments
• Curiosity: A genuine interest in software, data, and how technology can transform R&D workflows

Nice To Haves

• Hands-on lab experience — time spent running experiments gives you instant credibility with our customers
• Exposure to data management concepts: structured spreadsheets, databases, ELNs, or LIMS
• Experience in a customer-facing, teaching, or collaborative technical role
• Familiarity with more than one scientific domain (e.g., organic chemistry and polymer science, or biotech and formulation)
• Python or scripting experience for data processing or analysis

Responsibilities

• 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 observations from the field with product and engineering teams to help shape what Uncountable builds next

Benefits

• Competitive base salary with performance bonus and equity
• Health and dental insurance
• 401(k) with employer contribution (US locations)
• Direct mentorship from experienced implementation managers and a fast path to increased ownership

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level