About the Company

Scientific innovation underpins nearly every major advancement in modern industry from advanced materials and next-generation batteries to pharmaceuticals, biotechnology, and sustainable food production. Yet the software infrastructure supporting industrial research and development remains fragmented, manual, and decades behind the systems used by modern technology companies. Our client is building the foundational software platform for industrial R&D. Their platform helps scientists, engineers, and researchers capture, structure, analyse, and operationalise experimental data across the entire product development lifecycle. By connecting laboratory instruments, research workflows, and organizational knowledge into a unified system, they enable research teams to move faster, make better decisions, and bring new products to market more efficiently. The opportunity is enormous. Every company that develops physical products relies on research and development, yet much of that work still operates on disconnected spreadsheets, legacy databases, and manual processes. This company is modernizing the infrastructure layer for scientific innovation and helping accelerate the pace of industrial discovery worldwide.

Company Snapshot

Raised $27M in growth funding after building substantial commercial traction through a capital-efficient approach.
Trusted by leading enterprise R&D organizations across multiple scientific and industrial sectors.
Building the category-defining platform in a large and underserved software market.
Team includes engineers and operators from world-class technical institutions and leading technology companies.
More than 100 employees globally with strong product-market fit and expanding customer adoption.
Serves organizations developing cutting-edge products across chemicals, materials science, life sciences, manufacturing, and defense.
Operating in a market with significant long-term expansion potential and limited modern competition.
Mission-critical platform embedded directly into customer research and development workflows.

Why You Should Join

Work on meaningful engineering challenges that directly impact scientific discovery and product innovation.
Gain ownership and responsibility significantly earlier than at most large technology companies.
Collaborate directly with customers and see the real-world impact of your work from day one.
Develop expertise at the intersection of software engineering, data infrastructure, and scientific systems.
Join a company with established traction while still being early enough for individual contributions to meaningfully influence outcomes.
Receive meaningful equity and career acceleration opportunities as the company continues to scale.

About the Role

You'll join the Implementations Engineering team, building production software that connects the company's platform to the real-world systems used inside research laboratories and industrial R&D organizations. Working closely with customers, product teams, and engineering leadership, you'll build integrations, automate data flows, migrate complex datasets, and develop tooling that enables researchers to work more efficiently. You'll own projects from discovery and design through deployment and long-term support while gaining exposure to a wide range of technical environments. This is a highly customer-facing engineering role where you'll write production code, solve complex data challenges, and directly influence customer success.

What You'll Do

Develop Python applications and tooling to ingest, validate, and structure research data.
Design and implement automated data pipelines that process and transform scientific datasets.
Collaborate with product and engineering teams to identify patterns that can be incorporated into the core platform.
Contribute to internal tooling and shared infrastructure that improves implementation speed and reliability.
Build integrations between laboratory instruments, enterprise systems, and the company's platform.
Work directly with customer technical teams to understand requirements and deliver robust solutions.
Debug, maintain, and improve production integrations across a diverse customer base.

Qualifications

Bachelor's degree in Computer Science (required).
0–2 years of software engineering experience.
Strong Python programming skills and excellent computer science fundamentals.
Experience working with APIs, SQL databases, or data processing workflows.
Strong analytical and problem-solving abilities.
Interest in scientific software, research, engineering, chemistry, biology, or related technical domains.
Ability to communicate effectively with both technical and non-technical stakeholders.
Previous internship, research, startup, or high-ownership engineering experience is a plus.
Exposure to laboratory environments, scientific instrumentation, or research workflows is beneficial but not required.

Compensation & Logistics

Compensation: $100K–$110K Base + Equity
Location: New York City, NY
Work Model: Hybrid (3 days per week onsite)
Visa Sponsorship: Available

Employia

Latest Jobs

Software Engineer (New Grads)