Principal Scientist, Biologics Optimization

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Job Function:
Discovery & Pre-Clinical/Clinical Development

Job Sub Function:
Biotherapeutics R&D

Job Category:
Scientific/Technology

All Job Posting Locations:
Spring House, Pennsylvania, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements.

Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

We are searching for the best talent for Principal Scientist, Biologics Optimization in Spring House, PA

Purpose: The Biologics Optimization team within Biologics Discovery is responsible for the design and optimization of lead biologic variants across multiple therapeutic modalities to achieve differentiated functional outcomes aligned with desired therapeutic mechanism of action (MoA).

In this position, the Principal Scientist will serve as a scientific leader and subject matter expert in biologics optimization, driving and dissecting protein engineering strategies that translate molecular design into improved biological function across diverse therapeutic modalities.

This role requires deep expertise in antibody and protein engineering, computational and AI/ML-enabled design approaches, and mechanism-driven biologics discovery expertise.

The successful candidate will partner closely with Therapeutic Area scientists, computational scientists, protein engineers, and drug discovery teams to develop and implement optimization strategies that enhance potency, selectivity, efficacy, and overall therapeutic performance.

The Principal Scientist will be expected to establish and champion scientific best practices in function-driven optimization, leveraging detailed understanding of antibody structure-function relationships, protein sequence space, and biological pathways to guide engineering decisions.

This role offers the opportunity to influence discovery programs across the ...