Overview:
In this leadership role, you drive clinical development strategy for oncology programs and provide scientific leadership across development stages. You will collaborate with cross-functional teams to shape study designs, interpret efficacy and safety data, and contribute to regulatory submissions. This position offers exposure to executive leadership and a meaningful opportunity to influence development direction in a dynamic biotech setting. Compensation / Benefits medical coverage dental coverage vision coverage paid leave equal opportunity employer
Responsibilities:
Provide scientific leadership across clinical development programs Support study design, protocol development, investigator materials, clinical study reports, and regulatory submissions Review and interpret clinical efficacy, safety, biomarker, and translational data to inform development strategy Collaborate with Clinical Operations, Biostatistics, Regulatory Affairs, Data Management, and other key functions Contribute to clinical development plans, evidence generation activities, and scientific communications Support interactions with investigators, key opinion leaders (KOLs), and external scientific collaborators Participate in publication planning, conference presentations, abstracts, and manuscripts Monitor evolving scientific and competitive landscapes and translate findings into strategic recommendations
Key requirements:
PhD, PharmD, MD, MD/PhD, or equivalent advanced scientific degree 5+ years of biotechnology or pharmaceutical industry experience Strong Clinical Science experience within Oncology Experience supporting clinical development programs through multiple phases of development Strong understanding of clinical trial design, data analysis, GCP/ICH guidelines, and drug development processes Experience reviewing clinical data and contributing to regulatory and scientific documents Excellent communication and cross-functional collaboration skills communication cross-functional collaboration leadership oncology clinical development clinical trial design data interpretation