Top Biotech Jobs in Boston, MA

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

As a Data Scientist, you'll build and maintain portfolio systems, design risk frameworks, run backtesting experiments, and collaborate across teams to enhance portfolio analytics using AI-driven predictions.

Manage LiveDesign implementation projects and ensure customer success with the Schrodinger Platform by collaborating with internal teams and representing customer needs in product development.

Manage implementations and rollouts of Benchling's platform for biotech customers, ensuring successful integration and training. Require scientific background and strong project management skills.

The Medical Science Liaison will engage healthcare providers and KOLs, support educational initiatives for the Galleri MCED test, and ensure compliance with healthcare regulations during interactions and activities.

The Senior Growth Marketer at Manifold will define and execute solutions-led go-to-market strategies, drive demand through multi-channel campaigns, and collaborate cross-functionally to support solution launches and performance analysis.

The Digital Marketing Manager executes global marketing strategies, optimizes campaigns, enhances brand visibility, and collaborates with various teams for lead generation.

Lead R&D Support for Clinical and Research, manage application portfolios, oversee service performance, engage teams for effective delivery, and foster innovation in solutions.

The role involves supporting commercial objectives by educating healthcare providers on Tempus oncology products through presentations and managing key relationships in oncology.

As a Solutions Engineer, you'll lead technical evaluations, prepare tailored demos, and partner with sales teams to connect tech capabilities with business outcomes, improving healthcare through automation and compliance.

The Data Manager will own data strategy, management, and governance, ensuring data quality and integration across various scientific datasets whilst collaborating with multiple teams.