AI/ML Biopharma Deployment Consultant
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-10-11
Listing for:
Vertex Pharmaceuticals LLC
Contract
position Listed on 2026-10-11
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Job Description
Position Summary
We 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.
- 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.
$105-$115/HR
No C2C or Third-Party Vendors
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