Associate Director, In-Vivo Pharmacology

About the role

RayzeBio is seeking an Associate Director, In-Vivo Pharmacology to provide scientific and operational leadership across oncology programs with a focus on radiopharmaceutical therapeutics (RPTs).

Responsibilities

• Lead the in-vivo pharmacology strategy for oncology RPT programs by supporting scientists in study design, execution, data interpretation, and translational relevance.
• Serve as a scientific thought partner, providing feedback and direction on model selection (CDX/PDX), dose and schedule rationale and endpoint definition and evaluability.
• Support selection of mouse strains, tumor models, activity levels, and fractionation schemes appropriate for Lu-177, Ac-225, and future RPT isotopes and modalities.
• Ensure consistency, rigor, and strategic alignment across in-vivo studies supporting multiple programs from early discovery through IND-enabling development.
• Own efficacy and biodistribution strategy for radiopharmaceutical programs, incorporating tumor growth kinetics, delayed response patterns, and modality-specific considerations. Ensure study designs reflect radiobiological realities.
• Partner closely with dosimetry/physics, imaging, radiochemistry, biology and DMPK teams to align in-vivo studies with absorbed dose and exposure-response understanding.
• Review and contribute to in-vivo pharmacology sections of study reports and IND-enabling regulatory submissions.
• Serve as a point of escalation for animal care, biosecurity, or facility-related issues impacting studies and operations.

Requirements

Ph.D. in Pharmacology, Cancer Biology, Toxicology, or related field, with 8+ years of relevant industry experience.

Strong track record in in-vivo oncology pharmacology, including xenograft efficacy studies and supporting preclinical programs advancing toward IND.

Demonstrated ability to lead complex, cross-functional teams/efforts and make pragmatic decisions in a fast-paced R&D environment.

Working knowledge of IACUC processes, animal welfare regulations and experience supporting AALAC accreditation activities.

Experience applying AI and computational tools to enhance data analysis, automate routine workflows, and support data-driven decision-making is desirable.

Experience with radiopharmaceuticals, radioligand therapies, or radiation-based modalities including familiarity with biodistribution, dosimetry, and radiation biology concepts preferred.