Scientific Business Analyst, Analytical Development/Synthetic Route Optimization job opportunity at TetraScience.

Home Jobs In United States Of America Tag: Analytical Development/Synthetic Route Optimization Scientific Business Analyst, Analytical Development/Synthetic Route Optimization position at TetraScience


Date2026-01-08T21:31:40.350Z bot
TetraScience Scientific Business Analyst, Analytical Development/Synthetic Route Optimization
Experience: Highly Experienced
Pattern: Full-time
Country:
apply Apply Now
Salary:
Status:

Analytical Development/Synthetic Route Optimization

Copy Link Report
degreeOND
loacation Cambridge, United States Of America
loacation Cambridge....United States Of America
Auto GPT Summarize Enabled
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. What You Will Do  Customer Data Exploration: Investigate customer datasets to identify gaps, enrichment opportunities, and AI-readiness factors. Scientific Use Case Development: Collaborate with customers to define, iterate, and refine AI/ML-driven scientific use cases. Stakeholder Engagement: Interview scientists and guide them in expanding and leveraging their data for AI applications. Data Analysis and Enrichment: Perform exploratory data analysis (EDA) and define data transformations for AI/ML use cases. Workflow Documentation: Develop workflow diagrams, process mappings,, AS-IS/TO-BE workflows, and ontology definitions. AI Model Evaluation: Provide feedback on AI/ML models to enhance scientific outcomes and improve product offerings. Customer Education and Demonstration: Conduct technical demonstrations, showcase AI applications, and drive adoption. Strategic Recommendations: Proactively suggest experiments or data strategies that strengthen customer insights and outcomes. What You Will Have Done M.S or PhD with 8-10+ years of industry experience in life sciences with extensive domain knowledge in Analytical Development and/or synthetic route optimization.  Proven track record of defining and implementing AI/ML-driven use cases in productized environments to support analytical method development and/or synthetic route optimization Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities  Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.

Other Ai Matches

Scientific Data Architect - Basel, Switzerland Applicants are expected to have a solid experience in handling Switzerland related tasks
Scientific Data Architect - Boston Applicants are expected to have a solid experience in handling Job related tasks
Scientific Data Architect -Darmstadt or Düsseldorf, Germany Applicants are expected to have a solid experience in handling Germany related tasks
Scientific Solutions Partner- Eastern US Applicants are expected to have a solid experience in handling Job related tasks