Top AI & Machine Learning Jobs in Boston, MA

The Senior Computational Chemist will lead cheminformatics efforts, design data pipelines, apply machine learning models to drug discovery, and collaborate across teams.

The Medical Affairs AI Lead oversees AI transformation for Medical Affairs, prioritizes initiatives, builds prototypes, and collaborates across departments for sustainable solutions.

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 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.

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.

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

The role involves applying AI/ML methods in cheminformatics for drug discovery, developing models, and collaborating with teams to enhance workflows and project outcomes.

As an AI Data Engineer, you will develop full stack applications integrating AI capabilities to support pharmaceutical research, enhancing workflows and productivity. Responsibilities include collaborating with researchers, developing scalable backend services, and deploying systems in AWS.