Principal Scientist, Computational Biology-Oncology Translational Research

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Job Function:
Discovery & Pre-Clinical/Clinical Development

Job Sub Function:
Translational Discovery & Development Biomarkers

Job Category:
Scientific/Technology

All Job Posting Locations:
Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, 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

About Oncology

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.

Our Oncology team is focused on the elimination of cancer by discovering new pathways and modalities to finding treatments and cures.

We lead where medicine is going and need innovators with an unwavering commitment to results.

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 seeking a highly motivated principal scientist to join our translational research team based in Spring House, PA, Cambridge, MA, La Jolla, CA.

Position Summary

The Principal Scientist, Computational Biology-Oncology Translational Research, will be responsible for developing and executing computational strategy for oncology translational and clinical biomarker programs.

This individual will lead the integration and interpretation of complex multimodal omics, biomarker, and clinical data; determine and defend fit-for-purpose analytical approaches; and deliver rigorous AI-enabled bioinformatics, statistical, and machine-learning evidence that meaningfully informs clinical development.

The role requ...