This role pays more than
65%
of similar roles. Most pay
$216,300–$282,150
— the shaded band above.
At the midpoint, this role pays about
$264k
versus about
$249k
for comparable roles.
Based on 240 similar postings.
Employer
About AbbVie
AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.
AbbVie currently has
297 open roles
on FindRole.
Listed pay typically runs
$109,500–$208,500
across 271 roles with salary data.
Director, Automation & Digital Transformation, Biologics Drug Substance Development leads the Automation and Digital Transformation organization within the Biologics Drug Substance Development team. This leader serves as the strategic head for the Lab-in-a-Loop vision, responsible for defining and executing a long-term roadmap involving automation, data infrastructure, AI, digital transformation, and modeling to accelerate process development. The role involves building an integrated digital ecosystem that connects laboratory automation, advanced analytics, machine learning, and knowledge management across various departments. Key responsibilities include managing a multidisciplinary team of scientists and engineers while overseeing the implementation of closed-loop experimental platforms, digital twins, and predictive analytics. The position requires expertise in high-throughput experimentation, robotics, cloud computing, and data governance to solve complex problems in biologics process development and improve scientific decision-making through automated workflows and scalable digital capabilities.
Develop and execute a comprehensive roadmap for automation, data, AI, and digital transformation in biologics development.
Lead a multidisciplinary team of engineers, scientists, and data experts to build advanced technical capabilities.
Implement "Lab-in-a-Loop" systems integrating experimental automation, predictive modeling, and machine learning into scientific workflows.
Establish an integrated data ecosystem with standardized governance for high-quality, reusable scientific data.
Serve as the primary business leader to influence senior leadership on investment decisions and technology prioritization.
Manage multi-year budgets, resource allocation, and project roadmaps to improve development speed and productivity.
Translate emerging technologies into scalable business capabilities that enhance process understanding and decision quality.
What we're looking for
M.S. or PhD in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Computer Science, Life Sciences, or a related scientific discipline.
15+ years of experience in the pharmaceutical, biotechnology, or advanced technology industries.
Experience in biologics process development, manufacturing sciences, digital transformation, or related functions.
Demonstrated leadership experience managing multidisciplinary scientific and technical organizations.
Proven success leading large-scale digital transformation, automation, data science, or technology-enabled business initiatives.
Deep understanding of biologics drug substance development, manufacturing processes, analytical workflows, and CMC development (preferred).
Experience implementing laboratory automation, robotics, automated experimentation, and digital laboratory solutions (preferred).
Knowledge of AI/ML methodologies, advanced analytics, cloud computing, and model-based development approaches (preferred).
AI
Machine Learning
Predictive Analytics
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SaaS
Data Analytics
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Remote (West Point, PA)9 days ago
$173,200–$272,600
Bioprocess Engineering
Upstream Cell Culture
Process Development
Technology Transfer
cGMP
Process Characterization
Scale-up
Validation
Antibody Therapeutics
Viral Clearance
Process Performance Qualification (PPQ)
Analytical Characterization
Product Development Lifecycle
Clinical Manufacturing
Agentic AI
RAG
GraphRAG
Data Pipelines
Workflow Orchestration
MLOps
DevOps
GenAI
Observability
FAIR Data
Ontologies
Lab Automation
Cyber-physical Systems