Senior Scientist, Translational Immunology – Cancer Vaccines

Main Duties and Responsibilities

• Design and execute translational immunology studies to evaluate cellular immune responses and define mechanisms linked to therapeutic activity and efficacy.
• Lead the development, optimization, and application of multi-color flow cytometry assays, including panel design, staining strategy, controls, compensation, troubleshooting, and data interpretation.
• Develop and implement functional cell-based assays to evaluate mechanisms of action, including T cell activation, cytotoxicity, cytokine production, proliferation, and related immune readouts.
• Independently drive scientific questions and project execution, identifying priorities, interpreting results, and proposing next steps with a strong sense of ownership.
• Partner effectively across a matrixed research environment, working with discovery, translational, oncology, virology, clinical, and computational colleagues to align stakeholders and advance programs.
• Communicate findings and recommendations clearly in team meetings, governance discussions, and scientific presentations.

Essential Requirements

• PhD in Immunology or a related scientific discipline, with 5+ years of relevant experience in translational immunology, oncology, infectious disease, or vaccinology.
• Deep expertise in cellular immunology and a strong track record of scientific achievement through publications, applied research, and mechanistic investigation.
• Extensive hands-on experience with multi-color flow cytometry, including panel design, assay optimization, execution, troubleshooting, and rigorous data analysis.
• Strong experience developing and applying cell-based functional immune assays.
• Solid understanding of immunology in oncology, infectious disease, or chronic viral infection.
• Demonstrated ability to independently drive projects and contribute strategically, not solely as experimental support.
• Strong collaboration and stakeholder management skills, with success working across cross-functional teams in a matrixed environment.

Desirable Requirements

• Deep understanding of tumor biology, immuno-oncology techniques, and experimental model systems.
• Experience with single-cell approaches such as scRNA-seq, CITE-seq, or ATAC-seq is a plus, but not required.