Jobs · Healthcare · California

Director, Oncology Research

BioSpace · South San Francisco, CA · 6 days ago
HealthcareFull-time

Responsibilities

  • Lead preclinical research for T-cell engager clinical programs and external collaborations, focused on lung and neuroendocrine cancer.
  • Build and lead a portfolio of innovative research programs focused on bispecific antibodies.
  • Mentor a team of project leaders and lab-based scientists to discover new biology, deliver robust datasets and make critical decisions for therapeutic programs and technology platforms.
  • Contribute to the identification and evaluation of external research opportunities, including business development partnerships and academic collaborations.
  • Partner effectively with peers across research and development to advance new science and integrate technology with tumor cell biology, including application of AI/ML approaches to target evaluation and biomarker discovery.

Qualifications

  • Doctorate degree in Cancer Biology, Cell Biology, Genetics, or related field [and relevant post-doc where applicable] and 5 years of directly related experience
  • OR Masters degree in Cancer Biology, Cell Biology, Genetics, or related field and 8 years of directly related experience
  • OR Bachelors degree in Cancer Biology, Cell Biology, Genetics, or related field and 10 years of directly related experience
  • Deep understanding of lung cancer biology.
  • Direct experience leading T-cell engager research programs from target identification and validation to clinical candidate selection and submission of IND/CTA.
  • Demonstrated understanding of preclinical dataset required for development candidate nomination, and experience interacting with regulatory authorities, preferred.
  • Knowledge of antibody engineering approaches, with direct experience designing and evaluating modalities including T-cell engagers and antibody-drug conjugates.
  • Experience developing translational biology datasets and interpreting clinical biomarker data.
  • Demonstrated ability to use AI/ML to accelerate research and translational biology.
  • Demonstrated high scientific impact through publications, invited talks and patents.

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