TetraScience
Scientific Business Analyst- Boston or Bay Area
TetraScience, Boston, Massachusetts, us, 02298
Scientific Business Analyst- Boston or Bay Area Be among the first 25 applicants.
Hit Apply below to send your application for consideration Ensure that your CV is up to date, and that you have read the job specs first. Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. Recently, the world's leading players in compute, cloud, data, and AI infrastructure have partnered with us. You will be asked to review the
Tetra Way
letter, authored by our co-founder and CEO, Patrick Grady, to understand our values and ethos. Embodying this document is expected of you if you join us. Who You Are You are a
strategic, analytically minded professional
passionate about bridging scientific insights and technology. You thrive working with scientists, product managers, and engineers to turn complex scientific data into actionable insights. With
deep domain knowledge in drug discovery, preclinical development, CMC, or Quality , you are skilled at identifying innovative use cases for AI and ML. Your ability to engage with both scientists and business leaders makes you a key player in maximizing scientific data value. You are a
high clock speed, forward-thinking
individual, eager to develop requirements for solutions aimed at R&D and Quality in Life Sciences. You embody extreme ownership and have a proven track record of deriving maximum value from data through enrichment, analysis, and AI/ML integration. You should also be
energized by working onsite with customers
regularly, building deep relationships and driving scientific transformation through face-to-face collaboration. Requirements
What You Have Done PhD with 15+ years of industry experience in life sciences, preferably in pharma, biotech, or health tech, with expertise in discovery, preclinical, CMC, and/or Quality Hands-on experience or oversight in areas like high throughput screening, toxicology, materials engineering, analytical development, or drug manufacturing Delivered AI/ML-driven solutions that improved efficiency, reduced costs, and enhanced data utilization Experience with scientific data workflows, lab automation, FAIR principles, and modern data architectures is a plus Strong coding or scripting skills (e.g., Python, Nextflow, AWS) and familiarity with scientific tools and ontologies are preferred Exceptional communication skills for engaging technical and executive stakeholders Experience in customer-facing, consulting, or scientific interface roles What You Will Do
Engage directly with customers onsite up to 4-5 days/week in Boston or Bay Area Investigate customer datasets for enrichment and AI-readiness Define, iterate, and implement scientific AI/ML use cases with customers Conduct onsite interviews and workshops to understand challenges and data landscapes Perform data analysis, define transformation workflows, and develop visual documentation Provide scientific input on AI model outputs and suggest improvements Deliver onsite demonstrations, conduct working sessions, and act as a trusted AI advisor Propose new directions and experiments to amplify scientific discovery Benefits
100% employer-paid benefits for employees and families Unlimited PTO 401K plan Remote work options when not onsite Company-paid Life Insurance, LTD/STD Opportunities for career growth and coaching Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Other Industries: IT Services and IT Consulting
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Hit Apply below to send your application for consideration Ensure that your CV is up to date, and that you have read the job specs first. Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. Recently, the world's leading players in compute, cloud, data, and AI infrastructure have partnered with us. You will be asked to review the
Tetra Way
letter, authored by our co-founder and CEO, Patrick Grady, to understand our values and ethos. Embodying this document is expected of you if you join us. Who You Are You are a
strategic, analytically minded professional
passionate about bridging scientific insights and technology. You thrive working with scientists, product managers, and engineers to turn complex scientific data into actionable insights. With
deep domain knowledge in drug discovery, preclinical development, CMC, or Quality , you are skilled at identifying innovative use cases for AI and ML. Your ability to engage with both scientists and business leaders makes you a key player in maximizing scientific data value. You are a
high clock speed, forward-thinking
individual, eager to develop requirements for solutions aimed at R&D and Quality in Life Sciences. You embody extreme ownership and have a proven track record of deriving maximum value from data through enrichment, analysis, and AI/ML integration. You should also be
energized by working onsite with customers
regularly, building deep relationships and driving scientific transformation through face-to-face collaboration. Requirements
What You Have Done PhD with 15+ years of industry experience in life sciences, preferably in pharma, biotech, or health tech, with expertise in discovery, preclinical, CMC, and/or Quality Hands-on experience or oversight in areas like high throughput screening, toxicology, materials engineering, analytical development, or drug manufacturing Delivered AI/ML-driven solutions that improved efficiency, reduced costs, and enhanced data utilization Experience with scientific data workflows, lab automation, FAIR principles, and modern data architectures is a plus Strong coding or scripting skills (e.g., Python, Nextflow, AWS) and familiarity with scientific tools and ontologies are preferred Exceptional communication skills for engaging technical and executive stakeholders Experience in customer-facing, consulting, or scientific interface roles What You Will Do
Engage directly with customers onsite up to 4-5 days/week in Boston or Bay Area Investigate customer datasets for enrichment and AI-readiness Define, iterate, and implement scientific AI/ML use cases with customers Conduct onsite interviews and workshops to understand challenges and data landscapes Perform data analysis, define transformation workflows, and develop visual documentation Provide scientific input on AI model outputs and suggest improvements Deliver onsite demonstrations, conduct working sessions, and act as a trusted AI advisor Propose new directions and experiments to amplify scientific discovery Benefits
100% employer-paid benefits for employees and families Unlimited PTO 401K plan Remote work options when not onsite Company-paid Life Insurance, LTD/STD Opportunities for career growth and coaching Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Other Industries: IT Services and IT Consulting
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