CMC Modeling Leader for Digital Tech Transfer

Merck; West Point (PA); Hybrid; USD 210,000 - 331,000; Full time

Job summary

Merck & Co. is seeking a Distinguished Scientist to lead Brick 1 within CMC Lighthouse Pillar 2, Digitally Enabled Technology Transfer.

This role defines an integrated modeling strategy across CMC domains, leading product, process, analytical, and transfer modeling capabilities to drive faster, more predictive technology transfer decisions. The role requires senior leadership, cross-functional collaboration, and a strong track record in model-informed development, with experience spanning

Qualifications

• Ph.D. and >15 years of relevant industry experience or equivalent combination of education and experience.
• Recognized scientific or technical leadership in CMC development, technology transfer, or related fields.
• Strong track record in leading complex, cross-functional technology strategies.

Responsibilities

• Serve as the scientific authority for the integrated portfolio of models enabling digitally supported CMC tech transfer.
• Define cross-modality framework for models, reuse, and modality-specific solutions.
• Guide development and application of mechanistic, statistical, hybrid, empirical, and AI/ML models with clear use, uncertainty, and validation.

Skills

Analytical Thinking

Bioanalytical Techniques

Biochemistry

Chemistry

CMC Strategy

Data Analysis

Experimentation

Influencing Skills

Manufacturing

Product Development

R&D Strategy

Regulatory CMC

Scientific Leadership

Strategic Foresight

Technology Transfer

Education

Ph.D. in chemical engineering, chemistry, biochemistry, pharmaceutical sciences, systems engineering, applied mathematics, data science, or a related field

Job description

Merck & Co. is seeking a Distinguished Scientist to lead Brick 1 within CMC Lighthouse Pillar 2, Digitally Enabled Technology Transfer.

This role defines an integrated modeling strategy across CMC domains, leading product, process, analytical, and transfer modeling capabilities to drive faster, more predictive technology transfer decisions. The role requires senior leadership, cross-functional collaboration, and a strong track record in model-informed development, with experience spanning