About the job
Join Our Team as a Scientific Business Analyst!
Who We Are
TetraScience is at the forefront of the Scientific Data and AI revolution. Our mission is to transform scientific data sets into actionable insights by developing AI-native solutions that enhance laboratory data management and facilitate groundbreaking scientific applications.
As the category leader in this emerging market, TetraScience stands apart, generating more revenue than all competitors combined. Over the past year, leading organizations in computing, cloud services, data management, and AI have partnered with us, recognizing TetraScience as the industry standard. For more updates, visit our Newsroom.
As part of your application process, we encourage you to read the Tetra Way letter from our co-founder and CEO, Patrick Grady. This document elucidates our values and culture, helping you determine if TetraScience aligns with your professional ethos. Your commitment to embodying these values will be vital if you join our vibrant team.
Who You Are
You are a strategic and analytically driven professional with a keen interest in integrating scientific insights with advanced technology. You excel in collaborative environments, working closely with scientists, product managers, and engineers to convert complex scientific data into practical outcomes.
Possessing in-depth knowledge in small molecule drug discovery, medicinal chemistry, computational chemistry, bioprocessing, or analytical development, you have a talent for identifying innovative applications of AI and machine learning. Your ability to communicate effectively with both scientific and business leaders makes you instrumental in optimizing the value derived from scientific data.
We seek an individual who is fast-paced and forward-thinking, passionate about crafting requirements for intricate solutions tailored to R&D and Quality roles in the Life Sciences sector. You take ownership of your work and have a proven track record of maximizing data value through enrichment, analysis, and integration with AI and machine learning technologies.

