Drug Product with CDMO (Contract Development and Manufacturing Organization) Exp. - Remote

OMG Technology•Mahwah, NJ

7d•Remote

About The Position

We are currently looking for three AI Leads to drive AI innovation across key areas of a Life Sciences/Biopharma organization: AI Lead – Clinical, AI Lead – Drug Substance (DS), and AI Lead – Drug Product. These roles will act as forward deployed AI leaders, responsible for identifying high impact opportunities and delivering scalable AI/GenAI solutions that improve business workflows, decision-making, and operational efficiency. As an AI Lead, you will partner with business, data science, engineering, and IT teams to identify where AI can create measurable impact and deliver solutions from concept to production. You will work hands-on with AWS, Databricks, Dataiku, and OpenAI, while driving GenAI/ChatGPT adoption across enterprise workflows. You will balance immediate business outcomes with long-term scalable AI capabilities, ensuring alignment with enterprise data and AI strategies.

Requirements

10+ years of experience in either: Biopharma manufacturing, process development, MSAT OR AI/Data Science within Life Sciences.
Proven experience delivering AI/ML solutions in regulated (GxP) environments.
Experience in CDMO or biopharma manufacturing environments is a MUST.
Strong understanding of Machine learning and predictive analytics
Strong understanding of Generative AI (LLMs, RAG, workflow integration, guardrails)
Strong understanding of Cloud and data platforms (AWS, Azure, or GCP)
Hands-on experience with Python and/or SQL.
Familiarity with MES, LIMS, and manufacturing systems.
Ability to drive outcomes in cross-functional and global environments.
Knowledge of biologics processes (cell culture, purification).
Experience with digital twins or advanced process optimization.
Exposure to Agentic AI or autonomous systems.
Strong stakeholder management and communication skills.

Responsibilities

Lead end-to-end delivery from use case identification, pilot and production deployment.
Identify and prioritize high-value AI use cases within Clinical, Drug Substance, or Drug Product domains.
Build and deploy prototypes and MVPs using AI/ML and GenAI technologies.
Collaborate with data science, engineering, and IT teams to integrate solutions into MES, LIMS, and enterprise data platforms.
Assess data readiness, quality, and integration needs.
Develop and own an AI roadmap with clear milestones and measurable impact.
Drive user adoption and change management across business and manufacturing/process teams.
Promote ChatGPT/GenAI adoption through playbooks, training, and real-world applications.
Ensure solutions comply with GxP and regulatory requirements.
Communicate effectively with stakeholders and senior leadership.