Software Engineer – Implementations

🕒 May 13

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Uncountable Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

🔥 Funding within the last year

💰 $27M Series A - Uncountable on 2025-06

SaaS • Artificial Intelligence • B2B

Uncountable Inc. is a SaaS AI platform that unifies R&D, quality control, and product lifecycle data for scientists and product teams. Their modular platform provides integrated ELN, LIMS, PLM, and visualization/analytics tools to centralize experimental data, enable traceability and compliance, and accelerate product development across chemicals, advanced materials, pharma/biotech, and food industries. Uncountable’s cloud-based solution targets enterprise R&D groups, replacing spreadsheets with predictive models, connected lab workflows, and collaborative data management.

📋 Description

• Build data integrations that ingest outputs from lab instruments (spectrometers, rheometers, HPLCs, and more) into Uncountable's platform • Design and implement automated data transfer pipelines that connect customer systems — ELNs, LIMS, spreadsheets, databases — to Uncountable • Write Python scripts and tooling to parse, validate, and transform scientific data files in a wide variety of formats • Work directly with customer technical teams to understand their data environments, map their schemas, and deliver clean, well-documented integrations • Collaborate with Uncountable's core engineering team to identify integration patterns that can be built into the product itself • Debug and maintain existing integrations as customer needs evolve and data sources change • Contribute to internal tooling and shared libraries that make future integrations faster and more reliable

🎯 Requirements

• Programming experience: Coursework or professional experience equivalent to 4 university-level CS courses; comfort writing Python or another scripting language to process data files • Scientific background: Meaningful knowledge of chemistry, materials science, biology, or a related life/physical science — enough to understand what a researcher means when they talk about their data • Genuine curiosity about software engineering and how technology can transform scientific workflows • Problem-solving mindset: Comfortable diving into unfamiliar file formats, APIs, and data structures to figure things out

🏖️ Benefits

• Competitive salary and equity • Health and dental insurance • 401(k) with employer contribution (US locations) • Direct mentorship and fast career growth on a small, high-caliber team