Posted 3mo ago

Scientific Business Analyst, Analytical Development/Synthetic Route Optimization

@ TetraScience
Cambridge, Massachusetts, United States
OnsiteFull Time
Responsibilities:Data exploration, Use cases, Stakeholder engagement
Requirements Summary:PhD or MS with 8-10+ years in life sciences; AI/ML use case development; analytical development or synthetic route optimization; cross-functional collaboration.
Technical Tools Mentioned:Python, R, SQL, Tableau, Machine Learning
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Job Description

About TetraScience

TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.

In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.

Who You Are 

You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes.

With deep domain knowledge in Analytical Development and/or synthetic route optimization, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data.

You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences. 

You will need to fundamentally embody the principles of extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications. 

This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.