Improving process understanding and development for biologics and vaccines portfolio at Merck & Co.
Requirements
Background and experience in process modeling, scientific machine learning, deep learning, and technology deployment
Expertise in Python with hands-on experience in deep learning frameworks and libraries (PyTorch, JAX, TensorFlow, or similar)
Experience in developing novel process models for dynamical systems, process control, or digital twins for chemical or biological systems through physics-based, mechanistic, or hybrid model frameworks
Familiarity with MLOps practices and workflows (automated training, documentation and monitoring, deployment and integration)
Experience in the new technology development and deployment with an understanding of technology adoption frameworks
Background in laboratory chemical or biochemical research, cell culture, or fermentation process design, development, or optimization
Ability to collaborate with IT stakeholders for technology deployment at scale
Responsibilities
Developing mechanistic, hybrid, or data-driven models for chemical synthesis and isolation, cell culture, fermentation, biomolecule separations
Working closely alongside pipeline project teams to extract impactful insights from experimental data for manufacturing process design
Employing process models to accelerate and enhance laboratory development through ML-assisted optimal experiment design
Applying physics-based and hybrid models to guide and de-risk scale-up/scale-down during technology transfer and commercialization
Developing new hybrid machine learning frameworks based on customized deep learning architectures and their integration with physics-based models or structures
Collaborating with enterprise IT colleagues for the automated scaling, training, and serving of such models to an extensive process development organization
Combining process modeling and deep learning techniques to help advance process-focused scientific research
Other
A Ph.D. in Engineering, Biology, Chemistry or a closely-related field
A M.S. in Engineering, Biology, Chemistry or a closely-related field with at least 2 years of industrial/pharmaceutical experience
A B.S. in in Engineering, Biology, Chemistry or a closely-related field with at least 4 years of industrial/pharmaceutical experience
Excellent communication skills, demonstrated creativity, adaptive problem-solving, and effective interpersonal skills
