Top Data & Analytics Jobs in Boston, MA

As a Principal Data Scientist, you'll develop innovative algorithms for vehicle and human movement analysis using IoT data, mentor a team, and present findings to stakeholders.

The Director of Biostatistics leads statistical efforts in clinical studies, authoring protocols, statistical analysis plans, and regulatory submissions, while collaborating across functions.

The Senior Scientist will develop and optimize high throughput protein characterization platforms, utilizing chromatography, data analysis, and collaboration with teams for protein analytics.

Lead data science and bioinformatics team, integrate wetlab and computational scientists, and establish best practices for scientific experimentation.

The Scientist for LNP Discovery will lead lipid nanoparticle innovation, optimize formulations, and support mRNA delivery research while collaborating with teams and external partners.

The Solutions Support Engineer resolves complex data delivery issues, formats data for customers, collaborates on solutions, and utilizes AI tools for automation.

The Performance Insights Manager leads measurement product strategies, builds dashboards to measure ad campaign effectiveness, and collaborates with teams to deliver insights and foster a customer-focused environment.

As a Data Scientist specialized in forecasting, you'll develop scalable models, optimize code, solve complex forecasting problems, and improve business decisions using ML and AI techniques.

The Informatics Manager will analyze health data, maintain risk score models, and communicate key business insights, requiring strong skills in SQL and SAS.

As a Data Science Intern, you'll work on developing machine learning models and NLP solutions using healthcare data, collaborating with cross-functional teams to enhance healthcare applications.

The AI Data Scientist will leverage data and machine learning to create solutions for business use cases, supporting decision-making and operational effectiveness.

The role involves developing ML pipelines for sparse, high-dimensional biological data, optimizing models for deployment, and implementing MLOps best practices.

As a Staff Data Engineer, you'll design scalable data architectures, optimize data pipelines, enforce governance policies, and lead cross-functional teams to drive data-driven solutions.