Top Tech Jobs & Startup Jobs in Boston, MA

Leads AI strategy and technical direction for applied AI in Inflammation & Immunology, overseeing portfolio development, partnerships, and governance standards to improve scientific decision-making.

The Postdoctoral Fellow role involves developing AI/ML tools to decode macrophage biology and analyze omics data for therapeutic innovation in inflammation and fibrosis.

The fellow will develop and analyze QSP models to evaluate incretin therapies, integrating data, modeling clinical outcomes, and publishing research findings.

The Applied AI Workflow Scientist, Sr. Manager drives the application of AI and LLMs in scientific workflows, collaborating with various stakeholders to improve operational efficiency in Immunology and Inflammation.

As a Process Engineer/Scientist II, you will execute production activities, ensure compliance with regulations, assist in troubleshooting, and manage technical documentation in pharmaceutical manufacturing.

The Clinical Development Medical Director leads clinical trials in oncology, ensuring compliance with scientific and regulatory standards while collaborating with various teams. Key responsibilities include medical monitoring, data interpretation, and communication with stakeholders.

The Postdoctoral Fellow will research AI applications in medical imaging, focusing on developing quantitative biomarkers for oncology drug development. Responsibilities include data integration, novel modeling approaches, and collaboration with cross-functional teams.

This senior role leads the Global Product Team for a product within Oncology, overseeing clinical development, strategy, budgeting, and team management while ensuring regulatory compliance and interaction with stakeholders.

The Global Development Lead will drive early clinical development programs for cardiometabolic diseases, oversee research strategy, and ensure quality study execution while managing project teams across Pfizer's medical framework.

Conduct research in computational antibody engineering, develop ML methods for antibody optimization, collaborate in a multidisciplinary environment, and publish findings.