AI/ML Biopharma Deployment Consultant (contract)

Vertex Pharmaceuticals LLC; Boston (MA); On-site; USD 145,000 - 158,000; Full time

Job summary

Vertex Pharmaceuticals is seeking a consultant to partner with Biopharmaceutical Sciences and Manufacturing teams to develop and implement an enterprise AI/ML strategy that accelerates biologics and cell therapy CMC development.

The role will deliver near-term productivity improvements through AI tools, copilots, agents, and employee enablement; develop a longer-term roadmap for AI-enabled laboratory and manufacturing transformation; and support execution of an automated laboratory pilot.

Qualifications

• MS or PhD in Biotechnology, Engineering, Data Science, Computer Science, or related discipline.

Responsibilities

• Develop a strategic roadmap for AI/ML deployment across Biopharmaceutical Sciences and Manufacturing functions.
• Identify high-value use cases for AI, ML, automation, and analytics within Process Development, Analytical Development, Manufacturing Sciences, and technical operations.
• Develop and deploy high-impact micro-productivity AI tools, copilots, and agents for scientific and operational workflows.
• Develop AI-enabled laboratory automation, data-driven experimentation, and closed-loop development platforms connecting equipment, analytics, and AI/ML models.
• Create a macro-productivity roadmap for AI-enabled manufacturing technologies including digital twins and advanced process control.
• Support pilot projects and establish a scalable framework for enterprise deployment.

Job description

Job Description

Position SummaryWe are seeking a consultant to partner with Biopharmaceutical Sciences and Manufacturing teams to develop and implement an enterprise AI/ML strategy that accelerates biologics and cell therapy CMC development. The role will deliver near-term productivity improvements through AI tools, copilots, agents, and employee enablement; develop a longer-term roadmap for AI-enabled laboratory and manufacturing transformation; and support execution of an automated laboratory pilot.

This is a 6 month contract to start.

Onsite at Vertex Pharmaceuticals.

W2 position. Not C2C eligible.

Key Responsibilities

• Develop a strategic roadmap for AI/ML deployment across Biopharmaceutical Sciences and Manufacturing functions.
• Identify high-value use cases for AI, machine learning, automation, and advanced analytics within Process Development, Analytical Development, Manufacturing Sciences, and technical operations.
• Develop and deploy high-impact micro-productivity AI tools, copilots, and agents for scientific and operational workflows, including scientific knowledge retrieval, report and protocol drafting, literature synthesis, data interpretation, technical documentation, regulatory-response support, and project management.
• Develop and deploy AI-enabled laboratory automation, data-driven experimentation, and closed-loop development platforms that connect automated equipment, analytical systems, and advanced AI/ML models.
• Develop a roadmap for macro-productivity improvement through AI-enabled manufacturing technologies, including advanced process monitoring, multivariate analytics, soft sensors, predictive modeling, anomaly detection, digital twins, advanced process control, and manufacturing workflow optimization
• Support pilot projects and establish a scalable framework for broader enterprise deployment.
• Align data, technology, governance, validation, human oversight, and change-management requirements for responsible deployment in regulated environments.

Required Qualifications

• MS or PhD in Biotechnology, Engineering, Data Science, Computer Science, or related discipline.
• 5+ years of experience in biopharmaceutical development, laboratory automation, AI/ML, or related fields.
• Strong knowledge of biologics and/or cell therapy CMC development.
• Experience with laboratory automation, robotics, ELN/LIMS, data integration, and scientific data analytics.
• Demonstrated experience applying AI/ML to scientific, engineering, or manufacturing challenges.
• Understanding of Agentic AI frameworks, workflow orchestration, autonomous agents, and human-in-the-loop governance models. Ability to bridge scientific, technical, and business stakeholders to drive adoption and implementation of AI-enabled solutions.
• Strong understanding of data governance principles, data architecture, ontology, data quality management, and enterprise AI governance.
• Familiarity with regulatory expectations and industry best practices related to AI deployment in GxP, GMP, pharmaceutical, biotechnology regulated environments.

Pay Range

$105-$115/HR

No C2C or Third-Party Vendors