Apply on Employer Site

Merck · 14 hours ago

Senior Scientist, Deep Learning Engineer within Data-Rich Experimentation (DRE)

Rahway, NJ

Full-time

Hybrid

Mid, Senior Level

$115K/yr - $180K/yr

2+ years exp

Merck is a leading science and technology company focused on improving global health. In this Senior Scientist role, the chosen candidate will combine process modeling and deep learning techniques to advance process-focused scientific research, working within a collaborative team to solve complex challenges in process research and development.

BiotechnologyHealth CareMedicalPharmaceutical

Comp. & Benefits

Responsibilities

Work with a team of scientists tasked with identifying, developing, and deploying data-rich technologies aimed at improving the manner in which process understanding is gathered

Leverage fundamental process modeling, machine learning, and other innovative data science approaches to enable process research and development efforts across the Company's biologics and vaccines portfolio

Develop mechanistic, hybrid, or data-driven models for chemical synthesis and isolation, cell culture, fermentation, biomolecule separations

Work closely alongside pipeline project teams to extract impactful insights from experimental data for manufacturing process design

Employ process models to accelerate and enhance laboratory development through ML-assisted optimal experiment design

Apply physics-based and hybrid models to guide and de-risk scale-up/scale-down during technology transfer and commercialization

Develop new hybrid machine learning frameworks based on customized deep learning architectures and their integration with physics-based models or structures

Collaborate with enterprise IT colleagues for the automated scaling, training, and serving of models to an extensive process development organization

Qualification

Process modelingDeep learningMachine learningPythonTechnology deploymentHybrid modelsData-rich technologiesCommunication skillsInterpersonal skillsCreative problem-solvingCollaboration skills

Required

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 Engineering, Biology, Chemistry or a closely-related field with at least 4 years of industrial/pharmaceutical experience

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)

High motivation and enthusiasm for novel technology development; passion for modernizing chemical and bioprocess development practices

Excellent communication skills, demonstrated creativity, adaptive problem-solving, and effective interpersonal skills for delivering complex technical solutions in a dynamic cross-functional environment

Demonstrated scientific expertise evidenced through impactful journal publications and/or conference presentations

Preferred

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

Background in laboratory chemical or biochemical research, cell culture, or fermentation process design, development, or optimization and experience applying or developing new digital or data-rich technologies to extract insights from complex laboratory data

Familiarity with MLOps practices and workflows (automated training, documentation and monitoring, deployment and integration) and ability to collaborate with IT stakeholders for technology deployment at scale

Experience in the new technology development and deployment with an understanding of technology adoption frameworks, including a successful track record of technology change management