Job Details

Overview

Scientific Business Analyst Boston or Bay Area. You will engage directly with customers onsite up to 4-5 days per week in the Boston or Bay Area region. This role focuses on bridging scientific insights with cutting-edge technology to industrialize Scientific AI and enable AI-enabled outcomes.

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 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


• 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

• Be a critical team member in a unique partnership to industrialize Scientific AI; engage directly with customers onsite up to 4-5 days per week in the Boston or Bay Area 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 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 and 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

Details

• Seniority level: Mid-Senior level


• Employment type: Full-time


• Job function: Other


• Industries: IT Services and IT Consulting