Imagene AI is seeking a pharma-experienced oncology leader to guide the clinical strategy behind our multimodal foundation model and its application across drug development. Our platform integrates histology, DNA, RNA, and routine clinical data to learn each tumor’s response profile and simulate drug-arm outcomes. This enables forecasting of key late-phase metrics and increases confidence in program prioritization and study design.

As the VP of Clinical Development, you will shape how these capabilities support oncology clinical development teams, improve decision making, and optimize trials from concept through execution.

Responsibilities:

Pharma Clinical Development Strategy

• Lead Imagene’s clinical strategy for oncology drug developers, demonstrating how multimodal models inform asset strategy and clinical decision points.
• Partner with global clinical development and translational teams to align Imagene outputs with asset strategy, indication prioritization, and late-stage planning.

Trial Optimization & Study Design

• Guide the use of Imagene’s in-silico trial optimization tools.
• Work directly with clinical science and biostatistics teams to integrate model outputs into trial design.
• Interpret simulated outcomes alongside real-world variables.

Evidence Generation & Scientific Rigor

• Oversee clinical validation strategies using historical trials, retrospective collaborations, and prospective studies with pharma partners.
• Ensure model-generated signals meet scientific and operational standards expected within oncology development organizations.
• Lead development of evidence packages.

External Engagement & Scientific Leadership

• Serve as Imagene’s senior clinical voice with pharma executives, global clinical development leads, and translational oncology heads.
• Build trusted relationships with oncology KOLs, investigators, cancer centers, and scientific advisors.
• Represent Imagene at key scientific and industry forums, communicating the clinical value and rigor of the platform.

Regulatory & Strategic Guidance

• Provide insight into the evolving regulatory landscape for AI-enabled biomarkers, response forecasting, and trial innovation.
• Support partners in discussions around endpoint justification, population selection, and data packages for regulatory submissions.

Cross-Functional Alignment

• Collaborate closely with product, ML, science, and business development teams to ensure pharma needs directly shape product evolution.
• Provide clinical interpretation of multimodal insights and simulation outputs to internal stakeholders and customers.
• Influence roadmap priorities based on real-world development workflows and unmet needs across oncology programs.

Requirements:

• MD or MD/PhD with oncology training and substantial experience in clinical development within a pharmaceutical or biotech setting.
• Demonstrated leadership of oncology trials across phases and involvement in asset strategy, study design, and evidence planning.
• Deep understanding of translational oncology, biomarkers, clinical endpoints, and the decision frameworks used in pharma development.
• Experience collaborating closely with clinical science, biometrics, regulatory, and translational medicine teams.

Preferred Qualifications:

• Familiarity with modeling and simulation approaches, advanced analytics, or AI tools used to support trial planning or clinical decision making.
• Experience with data-driven biomarker strategies or digital biomarker integration.
• Strong existing network across oncology R&D leadership.