TetraScience
Scientific Business Analyst, Scientific AI- Boston
TetraScience, Boston, Massachusetts, us, 02298
Scientific Business Analyst, Scientific AI- Boston
3 weeks ago Be among the first 25 applicants
Overview
TetraScience is the Scientific Data and AI 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.
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 drug discovery/preclinical development, CMC, or Quality , 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 be a
high clock-speed, forward-thinking individual
with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside Life Sciences. You embody extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications.
You should also be
energized by regularly working onsite with customers . You thrive in dynamic, high-impact, face-to-face collaborative environments where you can build deep relationships and drive scientific transformation firsthand.
Requirements
What You Have Done
PhD with 15+ years of industry experience in life sciences, preferably across pharma, biotech, or health tech, with deep domain expertise in discovery, preclinical, CMC, and/or Quality
Extensive hands-on experience or direct oversight in one or more of the following areas: high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance (DS) synthesis and manufacturing
Delivered requirements for AI/ML-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization
Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus
Strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs) and familiarity with scientific tools, databases, and ontologies is preferred
Exceptional communication and storytelling ability to engage technical and executive stakeholders
Prior experience in customer-facing, consulting, or commercial-scientific interface roles
What You Will Do
You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston Region
Customer Data Exploration: Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities
Scientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases
Stakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes
Data Analysis and Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AI
Workflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitions
AI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performance
Customer Enablement: Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption
Strategic Insight: Propose new directions, experiments, or platforms that can amplify scientific discovery and development
Benefits
100% employer-paid benefits for all eligible employees and immediate family members
Unlimited paid time off (PTO)
401K
Remote working opportunities, when not at customer sites
Company paid Life Insurance, LTD/STD
A culture of continuous improvement where you can grow your career and get coaching
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Other
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at TetraScience by 2x
Woburn, MA $70,000 - $100,000 2 months ago
Boston, MA $60,000 - $110,000 3 months ago
Boston, MA $130,000.00 - $160,000.00 4 days ago
#J-18808-Ljbffr
Overview
TetraScience is the Scientific Data and AI 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.
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 drug discovery/preclinical development, CMC, or Quality , 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 be a
high clock-speed, forward-thinking individual
with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside Life Sciences. You embody extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications.
You should also be
energized by regularly working onsite with customers . You thrive in dynamic, high-impact, face-to-face collaborative environments where you can build deep relationships and drive scientific transformation firsthand.
Requirements
What You Have Done
PhD with 15+ years of industry experience in life sciences, preferably across pharma, biotech, or health tech, with deep domain expertise in discovery, preclinical, CMC, and/or Quality
Extensive hands-on experience or direct oversight in one or more of the following areas: high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance (DS) synthesis and manufacturing
Delivered requirements for AI/ML-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization
Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus
Strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs) and familiarity with scientific tools, databases, and ontologies is preferred
Exceptional communication and storytelling ability to engage technical and executive stakeholders
Prior experience in customer-facing, consulting, or commercial-scientific interface roles
What You Will Do
You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston Region
Customer Data Exploration: Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities
Scientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases
Stakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes
Data Analysis and Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AI
Workflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitions
AI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performance
Customer Enablement: Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption
Strategic Insight: Propose new directions, experiments, or platforms that can amplify scientific discovery and development
Benefits
100% employer-paid benefits for all eligible employees and immediate family members
Unlimited paid time off (PTO)
401K
Remote working opportunities, when not at customer sites
Company paid Life Insurance, LTD/STD
A culture of continuous improvement where you can grow your career and get coaching
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Other
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at TetraScience by 2x
Woburn, MA $70,000 - $100,000 2 months ago
Boston, MA $60,000 - $110,000 3 months ago
Boston, MA $130,000.00 - $160,000.00 4 days ago
#J-18808-Ljbffr