Scientific Implementation Associate
- Compensation
- $75K–$85K / yr
- Location
- New York, San Francisco, Munich, London, Cleveland or Pittsburgh
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Not specified
- Posted
Skills
Must have
- 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, b
- 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 have
- 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
Full description
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