Top Biotech Jobs in San Diego, CA

The Senior Oncology Account Specialist promotes Pfizer's oncology products to healthcare providers, enhances brand awareness, and educates on appropriate product usage, while managing key accounts and building relationships with high-value customers to improve patient care.

The Sales Development Representative will identify, qualify, and develop new leads in the pharma and biotech industries and assist the sales team in meeting quarterly and annual goals.

The Payer Engagement Account Director will drive payer opportunities, build relationships with payers, lead meetings, and collaborate cross-functionally to advance access to the company's cancer detection technology.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

The Detection and Response Engineer will investigate security events, create threat detections, scale incident response, and refine automation processes to enhance the security program as the company grows rapidly.

The Sales Director will lead the sales process to close partnerships with research sites, managing all sales activities including discovery and negotiation, while collaborating with Customer Success for onboarding.

The Associate Director will manage clinical data flow into the data warehouse, ensuring data integrity, compliance, and coordination with clinical operations for effective clinical trials and research efforts.

The Production Lead oversees clinical trial packaging, ensuring compliance with regulatory standards and SOPs while leading packaging operations and training staff.

The Operations Compliance Specialist ensures patient safety and regulatory compliance through investigations, managing deviations, and CAPAs using Lean and Six Sigma tools.

The Staff AI Scientist leads planning and execution of complex AI and machine learning projects focused on cancer detection and treatment, collaborating with cross-functional teams to develop and deploy advanced solutions.

Lead delivery of front-end data solutions for scientists, engage with IT teams, scope AI opportunities, and improve user adoption programs.