AI Leads - Clinical/Drug Substance/Drug Product with CDMO (Contract Development and Manufacturing Organization) Exp. (Remote)

Remote • Posted 6 hours ago • Updated 6 hours ago
Contract W2
Contract Independent
Remote
Depends on Experience
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Fitment

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Job Details

Skills

  • Artificial Intelligence
  • Business Data
  • Change Management
  • Clinical Trials
  • Cloud Computing
  • Contract Management
  • DS
  • Data Processing
  • Data Science
  • Databricks
  • GMP
  • Generative Artificial Intelligence (AI)
  • Good Clinical Practice
  • Google Cloud Platform
  • GxP
  • LIMS
  • MES
  • Life Sciences
  • Machine Learning (ML)
  • Manufacturing
  • Manufacturing Operations
  • Microsoft Azure
  • Operational Efficiency
  • Process Control
  • Process Engineering
  • Decision-making
  • Process Optimization
  • Prototyping
  • Python
  • Roadmaps
  • SQL
  • Science
  • Supply Chain Management
  • Amazon Web Services
  • Cell Culture
  • Collaboration
  • Communication
  • Innovation
  • Leadership
  • Optimization
  • Use Cases

Summary

AI Leads - Clinical/Drug Substance/Drug Product with CDMO (Contract Development and Manufacturing Organization) Exp. (Remote)

We are currently looking for three AI Leads to drive AI innovation across key areas of a Life Sciences/Biopharma organization:

  • AI Lead Clinical Trial (CT)
  • AI Lead Drug Substance (DS)
  • AI Lead Drug Product (DP)

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.

Role Summary (Applicable to All 3 Roles):

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.

Key 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 Supply Chain 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.

Domain Focus:

  • AI Lead Clinical Trial (CT): Clinical trials, patient data, study optimization, clinical operations.
  • AI Lead Drug Substance (DS): Manufacturing operations, process development, MSAT, investigations, technical data.
  • AI Lead Drug Product (DP): Formulation development, batch performance, process control, quality consistency, deviation prediction, and GMP manufacturing efficiency across drug product manufacturing.

Required Skills & Qualifications:

  • 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
    • Generative AI (LLMs, RAG, workflow integration, guardrails)
    • Cloud and data platforms (AWS, Azure, or Google Cloud Platform)
  • 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.

Other Job Details:

    • Job Type: C2C or W2.
    • Duration: 6 12 months with high possibility of extension.
    • Location: Remote
    • Interviews: Video interviews.
    • Docs required: ID proof will be required.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91093052
  • Position Id: AIL3_PTF_APR26
  • Posted 6 hours ago

Company Info

About OMG Technologies

From our humble beginnings as a small IT service provider in 2006, OMG Technologies has grown to become a reliable provider of management and IT consulting services, while still maintaining agility of a small company. With multiple clients in various industries, OMG Technologies continues to grow at a good, steady and consistent pace based on our client focused approach.

Whatever it Takes to deliver value is our CORE approach

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