Top Tech Jobs & Startup Jobs in Boston, MA

Lead Benchling implementations by partnering with scientific teams to gather requirements, design scalable Benchling data models and workflows, coordinate implementation, guide UAT and training, and support rollout and adoption.

The GxP Lab Computing Analyst provides consulting and technical laboratory services, supporting IT needs and validation compliance while liaising with clients and conducting requirements management.

The GxP Lab Computing Analyst provides consulting, IT support, and validation services for laboratory operations, analyzing needs, and proposing solutions to ensure compliance and optimize processes.

Implement, configure, validate, and support sample-centric LIMS solutions (e.g., LabWare, LabVantage) for regulated laboratories. Lead requirements gathering, design workflows, configure instruments/inventory, execute IQ/OQ/PQ testing, support UAT and go-live, provide post-implementation support, training, and documentation, and identify opportunities for improved compliance and efficiency.

The Associate Scientific Strategy Consultant leads consulting projects in life sciences, ensuring success through stakeholder management, project execution, and operational excellence.

The Senior Scientific Business Systems Analyst leads business analysis for R&D projects, translates scientific needs into requirements, manages project delivery, and mentors junior analysts while ensuring customer engagement and operational excellence.

The consultant will manage Dotmatics implementations, translating complex requirements into scalable solutions and ensuring implementation quality while collaborating with offshore teams.

Manage strategic multi-year R&D projects, coordinate teams, ensure adherence to budget and schedule, and present project statuses to stakeholders.

The Lab Computing Analyst provides consulting and technical lab support, manages requirements, evaluates solutions, and acts as a liaison between clients and service groups, ensuring compliance and operational efficiency.

Develop and maintain Python-based backend services, APIs, and data pipelines in AWS, collaborating with scientists to optimize data workflows and support AI/ML applications.