Associate Scientist, Cell Line Development (Biotherapeutics)

Johnson & Johnson Co.; Pennsylvania; On-site; USD 78,000 - 127,000; Full time

Job summary

Johnson & Johnson in Spring House, PA is seeking an Associate Scientist to join the Cell Engineering and Analytical Sciences (CEAS) group within Innovative Medicine R&D. The role focuses on generating cell lines for large molecule therapeutics and collaborating across teams to meet project timelines.

The candidate will work in a dynamic, matrix environment, contributing to protein expression, cell culture, and process optimization while maintaining rigorous data records and communicating results

Qualifications

• Bachelor’s degree in biological sciences, Biochemistry, Chemical Engineering, or related discipline with at least 1 year of relevant research experience.
• Mammalian cell culture experience is required.
• Ability to work in a matrix environment and collaborate with multiple functional groups.
• Strong communication and data reporting skills.
• Our dynamic environment requires adaptability, teamwork, and initiative.

Responsibilities

• Support development of mammalian cell lines secreting complex proteins.
• Cell culture development for all protein therapeutics.
• Support the development of new cell biology, molecular biology, or equipment technologies to improve protein yields and shorten timelines.
• Participate in projects from Lead Optimization to New Molecular Entity declaration within cross-functional teams.
• Maintain detailed records, analyze data, troubleshoot, and ensure compliance with SOPs.

Skills

Mammalian cell culture

Protein expression

CRISPR/Cas9

Process optimization

Medium development

Education

Bachelor’s degree in biological sciences or related discipline

Job description

Johnson & Johnson in Spring House, PA is seeking an Associate Scientist to join the Cell Engineering and Analytical Sciences (CEAS) group within Innovative Medicine R&D. The role focuses on generating cell lines for large molecule therapeutics and collaborating across teams to meet project timelines.

The candidate will work in a dynamic, matrix environment, contributing to protein expression, cell culture, and process optimization while maintaining rigorous data records and communicating results