Scientific Business Analyst, Scientific AI

TetraScience; Boston (MA); Remote; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a strategic professional passionate about integrating scientific insights with advanced technology. This role involves collaborating with scientists and engineers to transform complex data into actionable insights, focusing on AI and machine learning applications in drug discovery and quality testing. The ideal candidate will possess extensive experience in exploratory data analysis and workflow optimization, ensuring maximum data value. Join a forward-thinking company that prioritizes continuous growth and innovation in the life sciences sector, offering a flexible work environment and generous benefits.

Benefits

100% employer-paid benefits

Unlimited paid time off

401K plan

Remote work flexibility

Company-paid Life Insurance

LTD/STD benefits

Continuous growth and coaching culture

Qualifications

• 15+ years of industry experience in life sciences.
• Extensive knowledge in drug discovery and product quality testing.

Responsibilities

• Explore customer datasets to identify gaps and AI-readiness.
• Work with customers to define AI/ML scientific use cases.

Skills

AI/ML-driven use cases

Exploratory data analysis

Workflow optimization

Communication skills

Collaboration with cross-functional teams

Education

PhD in Life Sciences

Tools

Data analysis tools

Job description

Who We Are

TetraScience is the Scientific Data and AI Cloud company, leading the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We offer a growing suite of next-generation lab data management solutions, scientific use cases, and AI-enabled outcomes.

As the category leader, TetraScience generates more revenue than all other competitors combined. Recently, major players in compute, cloud, data, and AI infrastructure have partnered with us, recognizing us as the de facto standard. Latest News and Announcements

In your application process, you'll review the Tetra Way letter by Patrick Grady, our co-founder and CEO, to understand our values and ethos. This document is crucial, and alignment with it is essential for success at TetraScience.

Who You Are

You are a strategic, analytically minded professional passionate about connecting scientific insights with cutting-edge technology. You excel in collaborating with scientists, product managers, and engineers to turn complex scientific data into actionable insights.

With deep domain expertise in drug discovery/preclinical development, CMC, or Quality, you are adept at identifying innovative use cases that leverage AI and machine learning. Your ability to engage both scientists and business leaders makes you vital in maximizing scientific data value.

You are a high-speed, forward-thinking individual with a passion for developing requirements for complex solutions aimed at R&D and Quality teams in Life Sciences. Embodying principles of extreme ownership and deriving maximum value from data through enrichment, analysis, and AI integration are key traits.

This role demands extreme self-discipline and determination as we build a category that will transform the life science industry forever.

Requirements

What You Have Done

• PhD with 15+ years of industry experience in life sciences, with extensive knowledge in drug discovery, preclinical development, CMC, or product quality testing
• Proven success in defining and implementing AI/ML-driven use cases in product environments
• Experience collaborating with cross-functional teams, including product managers, engineers, and scientific stakeholders
• Extensive experience in exploratory data analysis and workflow optimization to enable new scientific outcomes
• Excellent communication skills for engaging diverse audiences, from scientists to executives
• Advising scientists in consulting roles to enhance research, development, and quality testing

What You Will Do

• Explore customer datasets to identify gaps, enrichment opportunities, and AI-readiness
• Work with customers to define, iterate, and refine AI/ML scientific use cases
• Interview scientists and guide data expansion and utilization for AI applications
• Perform exploratory data analysis and define data transformations for AI/ML use cases
• Create workflow diagrams, process maps, ERDs, and ontology definitions
• Provide feedback on AI/ML models to improve scientific outcomes and product offerings
• Conduct technical demos, showcase AI applications, and promote adoption
• Suggest experiments or data strategies to enhance customer insights and outcomes

Benefits

• 100% employer-paid benefits for employees and immediate family
• Unlimited paid time off (PTO)
• 401K plan
• Remote work flexibility
• Company-paid Life Insurance, LTD/STD
• A culture focused on continuous growth and coaching