Associate Principal Scientist, Analytical R&D

MSD; Rahway (NJ); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading company in Rahway, New Jersey is seeking an Associate Principal Scientist to solve complex analytical problems in the development of Biologics. The role involves method development, technical leadership, and collaboration in a multidisciplinary team.

Qualifications

• Experience in developing and qualifying analytical methods.
• Experience leading small teams and cross-functional collaboration.

Responsibilities

• Solve complex analytical problems in a fast-paced environment.
• Develop and transfer analytical methods for therapeutic proteins.

Skills

Analytical Problem Solving

Scientific Leadership

Communication

Multi-tasking

Job description

Associate Principal Scientist, Analytical R&D

Our Research Scientists are our Inventors. We identify and target steps in disease mechanisms or pathways that could be inhibited or enhanced. Our goal is to isolate a compound that is effective against a disease target. Using innovative thinking, state-of-the-art facilities, and robust scientific methodology, we collaborate to discover the next medical breakthrough.

The Biologics Analytical Research & Development department of our Research & Development Division is seeking applicants for an Associate Principal Scientist position at its Rahway, New Jersey research facility. The Associate Principal Scientist is a laboratory-based role responsible for solving complex analytical problems at the interface of biology, chemistry, and lab informatics to support the development of Biologics drug substances and drug products. The candidate must work well in a fast-paced, multidisciplinary team environment. Responsibilities include developing, qualifying, implementing, troubleshooting, and transferring analytical methods for monoclonal and other complex therapeutic proteins. Additional duties involve developing new assay platforms, benchmarking current techniques to industry standards, and providing technical leadership in experimental design and data interpretation. Effective organizational, multi-tasking, communication skills, scientific leadership, and a publication desire are essential. Experience leading small teams and cross-functional collaboration are preferred.