Top Tech Jobs & Startup Jobs in Boston, MA

Lead enterprise healthcare data modeling: design and maintain conceptual/logical/physical models, integrate varied clinical sources, implement common data model transformations, monitor data quality, and collaborate with clinicians, data scientists, and engineers.

The Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.

The Director of Data & AI Partnerships is responsible for developing account strategies, cultivating partnerships with pharma/biotech clients, and driving revenue goals while ensuring delivery on strategic objectives.

The Senior Alliance Manager will cultivate partnerships with life sciences companies, ensuring value and satisfaction through collaboration and execution of agreements. Responsibilities include developing relationships, leading meetings, tracking milestones, and managing operations for clients.

The Associate Principal Scientist will design and execute research projects, perform computational analyses, and communicate insights in precision medicine for oncology, collaborating with stakeholders.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

The Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.

The Data Scientist II will lead and execute health economic outcomes research projects, collaborate with stakeholders, and build analytical infrastructure while adhering to regulations.

Manage sales strategies, achieve regional sales objectives, develop customer relationships, and oversee team performance in the healthcare diagnostics sector.

Manage a multi-state territory to grow laboratory genetic testing sales by expanding menu utilization, acquiring new customers, negotiating contracts, launching new assays, developing demand, delivering presentations, hosting trade shows, maintaining CRM data, and achieving sales targets while residing in the assigned territory.