Scientific Director, Breast Cancer Portfolio

Accountabilities:

• • Lead the scientific strategy for the breast cancer evidence portfolio, maintaining an integrated roadmap across products, studies, collaborators, and long-term development objectives.
  • Define evidence requirements supporting product development, regulatory submissions, reimbursement, clinical adoption, and potential guideline inclusion.
  • Identify evidence gaps, research priorities, opportunities for indication expansion, and next-generation product development.
  • Provide scientific oversight for retrospective, prospective, observational, and translational studies, including study concepts, protocols, endpoints, execution, interpretation, and reporting.
  • Partner with internal and external stakeholders to identify and prioritize clinical datasets that support evidence-generation objectives.
  • Establish and manage relationships with key opinion leaders, academic medical centers, cooperative groups, and research networks.
  • Evaluate and develop investigator-initiated and company-sponsored research proposals, assessing scientific merit, feasibility, strategic alignment, and potential clinical impact.
  • Develop publication strategies and lead the preparation of abstracts, conference presentations, posters, manuscripts, and other scientific communications.
  • Present scientific findings internally and externally, translating complex research into rigorous, clinically relevant insights.
  • Collaborate closely with Product, Medical, Biostatistics, AI, and Market Access teams as the clinical development representative on cross-functional initiatives.
  • Contribute scientific expertise to product development, target product profiles, product claims, and commercialization strategies.
  • Monitor research progress, proactively resolve scientific or operational challenges, and ensure studies remain aligned with portfolio objectives.
  • Support evidence generation that advances product development, regulatory and reimbursement objectives, and clinical adoption.

  Requirements:

  • Advanced degree such as a Ph.D., M.D., Pharm.D., or equivalent in oncology, cancer biology, pathology, molecular biology, epidemiology, or a related scientific discipline.
  • At least 5 years of experience in oncology clinical development, translational research, diagnostics, biotechnology, pharmaceutical development, or a closely related field.
  • Deep expertise in breast cancer biology and the contemporary breast cancer treatment landscape.
  • Demonstrated experience developing and executing clinical studies involving molecular diagnostics, digital pathology, genomic assays, AI-based diagnostics, companion diagnostics, or related technologies.
  • Strong understanding of clinical study methodology, observational research, translational research, and evidence generation.
  • Proven ability to lead collaborations with academic investigators, cooperative groups, and research networks.
  • Track record of peer-reviewed publications as a first author, senior author, or contributing collaborator.
  • Experience authoring or reviewing study protocols, research proposals, abstracts, manuscripts, and scientific presentations.
  • Experience working across multidisciplinary teams involving scientific, clinical, regulatory, product, and commercial stakeholders.
  • Strong strategic thinking, analytical capabilities, project execution skills, and scientific judgment.
  • Excellent written, verbal, presentation, and relationship-building skills, with the ability to communicate effectively with clinical and scientific experts.
  • Demonstrated ability to influence stakeholders without direct authority and build productive external partnerships.
  • Comfortable working independently in a fast-paced startup environment with significant ownership and evolving priorities.
  • Passion for improving patient care through AI-enabled healthcare and diagnostic innovation.
  • Preferred experience with commercially available diagnostic assays, regulatory submissions, prognostic or predictive breast cancer assays, real-world evidence, outcomes research, digital pathology, AI/ML, or multimodal biomarkers.
  • Existing relationships with breast cancer investigators, cooperative groups, or academic research networks are advantageous.
  • Willingness to travel domestically and internationally up to approximately 5% for scientific collaboration meetings.

  Benefits:

  • Base salary: $145,000–$165,000 per year, with final compensation based on experience, qualifications, and other relevant factors.
  • Equity as a core component of the overall compensation package.
  • 401(k) matching.
  • Unlimited paid time off (PTO).
  • Remote work environment.
  • Opportunity to contribute to innovative AI-driven healthcare and diagnostic technologies.
  • Collaborative, cross-functional environment with significant scientific ownership and impact.