Director, Data Science

Merck KGaA Darmstadt Germany - Rahway, NJ

Full-time - Senior

Rahway, NJ

Chemical Manufacturing

About the position

The Director of Data Science at Merck will lead efforts to leverage statistics and data science in late-stage product development and manufacturing. This role is pivotal in driving innovation and digitalization within the Chemistry, Manufacturing, and Controls (CMC) data analytics space, aiming to enhance product quality and regulatory compliance while mentoring junior team members.

Responsibilities

• Advocate for CMC statistics and data science, serving as a consultant to engineers, scientists, and principals in the manufacturing division.
• Provide statistical and data science expertise for designing experiments, modeling structured and unstructured data, and constructing data visualizations.
• Offer technical support in design of experiments (DOE), analysis of data, statistical process control (SPC), simulation, and design of sampling plans.
• Evaluate data for submissions and assist with replies to regulatory agencies and pharmacopoeia.
• Mentor junior members of the organization and steer the introduction of cutting-edge technologies.

Requirements

• Master of Science (MS) in Statistics, Applied Mathematics, Data Science, or Industrial Engineering (or equivalent) with ten (10) years of statistical and data science consulting skills in DOE, SPC, linear and nonlinear regression, general linear models, simulation, and multivariate methods.
• PhD in Statistics, Applied Mathematics, Data Science, or Industrial Engineering (or equivalent) with five (5) years of coursework and skill set experience to include DOE, SPC, linear and nonlinear regression, general linear models, simulation, and multivariate methods.
• Ability to manage multiple projects/tasks simultaneously with contending priorities.
• Demonstrated resourcefulness and the ability to develop and implement innovations in practice of statistics and data science.
• Outstanding oral and written communication skills to convey complex mathematical concepts and analyses to others.
• Outstanding computing skills in packages such as R, SAS, JMP and Minitab.
• Ability to direct cross-functional teams, motivate people, delegate appropriately and resolve conflicts.

Nice-to-haves

• Experience in statistical and data science consulting in Chemical Manufacturing Controls (CMC) or Pharmaceutical Industry.