Los Angeles, CA, USA
18 days ago
Project Scientist, Translational Drug Development and Biomarker Discovery

The Nathanson Laboratory in the Department of Molecular and Medical Pharmacology at the University of California, Los Angeles (UCLA) seeks a Project Scientist to lead translational drug development and biomarker discovery efforts focused on glioblastoma. This position will direct clinically inspired research programs leveraging a large, well-annotated library of patient-derived cancer models to evaluate novel therapeutics, drug combinations and develop biomarkers. The Project Scientist will provide scientific leadership for multidisciplinary research teams and play a central role in integrating molecular, functional, and bioinformatic data to advance precision oncology strategies. This work is conducted in close collaboration with clinicians, computational scientists, and industry partners. The ideal candidate should have a Ph.D. in the biosciences (e.g., cancer biology, pharmacology, molecular biology, or related field).

Responsibilities:
• Lead translational drug development studies using patient-derived in vitro and in vivo cancer models, including orthotopic xenograft systems.
• Design and execute clinically relevant experimental paradigms that model therapeutic response, adaptation, and resistance.
• Direct biomarker discovery and validation efforts, integrating multi-omic, functional, and phenotypic datasets.
• Oversee analysis and interpretation of large-scale bioinformatic datasets in collaboration with computational researchers.
• Investigate cell fate and cell death pathways as determinants of therapeutic sensitivity and resistance.
• Manage research personnel, including trainees and technical staff.
• Contribute to high-impact publications, grant applications, and intellectual property development.

Previous experience with the following is highly desirable:
• Biomarker discovery and integration across diverse data types.
• Hands-on experience with patient-derived cancer models, including orthotopic in vivo systems.
• Proficiency in handling and interpreting large bioinformatic datasets.
• Strong background in cell fate pathways and mechanisms of cancer resistance.
• Proven ability to lead research teams and manage complex, multi-project workflows.
• Record of high-impact publications in translational oncology.
• Experience designing studies that inform clinical trial strategy.
• Prior participation in grant-funded, multidisciplinary research programs.

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