Scientific Business Analyst, Scientific AI- Boston

Requirements

• 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 (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.

Responsibilities

• 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