Top Biotech Data & Analytics Jobs in Boston, MA

As a Staff Data Scientist, you will design and develop machine learning models and pipelines for biomedical data, collaborating with various teams.

The Data Engineer II role involves developing data transformation pipelines and systems, contributing to data sources for machine learning, and creating tools for data visualization and extraction.

Support the development of cell-based potency methods and participate in analytical lifecycle activities, including method development and validation. Author and review technical documents.

The Research Associate will perform in vitro ADME/TOX assays, data analysis, and train junior staff while ensuring quality standards and safety protocols in the laboratory.

Lead AI initiatives at Smith+Nephew, researching technologies, developing models, collaborating with teams, and mentoring junior staff to drive innovation.

The role involves implementing and developing analytical methods, analyzing data, and collaborating with teams to support biopharma development efforts.

Lead statistical work in early phase drug development, including trial design, analysis methodologies, and collaboration with clinical teams.

The Reimbursement Analytics Manager analyzes reimbursement data to optimize revenue, improve processes, and support marketing efforts, collaborating across departments.

The Senior Scientist will lead stem cell differentiation towards islet cells, perform analytical assays, ensure data quality, and support team growth and compliance.

Lead a team in Quantitative Systems Pharmacology, guiding scientific projects, developing methodologies, mentoring scientists, and interfacing with clients for effective biomedical solutions.

The Senior Research Associate will execute cell culture experiments, downstream processing, and contribute to process development projects while analyzing data and troubleshooting issues.