Top Data & Analytics Jobs in Boston, MA

The Senior Scientist will lead analytical activities supporting process development, optimize platform coordination, and act as a subject matter expert for cell counting and flow cytometry. Responsibilities include method development, data management, and mentoring a team while managing project timelines and budgets.

The IT Quality-Analyst Tester/ IT Business Analyst role involves writing detailed user stories, managing requirements and documentation, and implementing business process changes, requiring experience in an agile environment.

The Helpdesk Analyst position at Computrition INC in Bedford, MA, USA requires providing Tier 1 support for technical issues, maintaining workstations, administering end user accounts, and providing training on new systems. The candidate must have working knowledge of Windows, Server OS, Linux Systems, and experience in application support with various Microsoft and Cisco technologies.

Senior Research Associate with a strong background in analytical method development and sample testing for non-GMP lot release, stability, and characterization of cell and gene therapy products using lipid nanoparticle (LNP) delivery. Responsibilities include developing and optimizing analytical methods, executing sample testing, collaborating with cross-functional teams, and supporting external testing labs. Qualifications include a relevant degree and experience in analytical method development.

As an eCommerce Media Analyst, you'll manage Amazon Advertising campaigns for multiple clients, analyze data to inform strategies, develop tools for campaign management, and provide feedback to internal teams to enhance automation and reporting.

The Scientist I/II will contribute to developing novel nanoparticle formulations for nucleic acid delivery. Responsibilities include optimizing formulations, developing analytical methods, executing experiments, and collaborating across teams to advance therapeutic candidates. The role requires strong problem-solving skills and the ability to manage multiple projects in a fast-paced environment.

The role involves leading and developing data engineering capabilities, architecting data solutions, guiding technology choices, collaborating with teams, mentoring engineers, and working directly with customers to address data challenges in a clinical research platform.