Data Scientist jobs in Boston, MA

You will own 3-5 enterprise healthcare accounts, managing the end-to-end data integration and building automated production pipelines. You will also act as the technical authority, designing pilot studies and translating business KPIs into actionable data insights.

Lead and execute HEOR and real-world evidence projects in collaboration with external partners and internal stakeholders. Develop analytical infrastructure and translate complex research findings into clinically actionable insights for clients.

The Data Scientist will design, implement, and analyze data-driven projects to support program evaluation and tracking initiatives. They will also collaborate with university working groups to establish monitoring metrics and develop user-friendly database solutions.

Lead the development of advanced deep learning models for medical image analysis to support clinical trials and drug development. Collaborate with clinical and regulatory teams to integrate imaging AI solutions into trial protocols and ensure compliance with industry standards.

Lead data science projects that advance the drug development portfolio, including models for therapeutic hypothesis evaluation, patient stratification, biomarker identification, and clinical trial optimization. Develop AI solutions and agents for biomedical workflows, collaborate with clinical, technical, and research teams, and present findings to senior stakeholders.

The Senior Data Scientist will develop and maintain forecasting models to improve demand planning, inventory, and assortment decisions. They will also partner with engineering and MLOps teams to deploy, monitor, and maintain production-ready forecasting solutions.

The Associate Data Scientist will support research and development efforts by scaling the Navigator methodology and implementing machine learning tools for defense-related projects. They will also collaborate with multidisciplinary teams to design datasets, validate analytical products, and provide technical expertise to institute leadership and government sponsors.

The role involves managing, cleaning, and analyzing complex multi-omic biomedical data to support aging research projects. The scientist will also contribute to study design, develop analysis pipelines, and communicate findings through reports and peer-reviewed publications.

The Data Scientist will partner with pharmaceutical collaborators to execute observational research plans and derive complex real-world endpoints using advanced statistical methods. They will also leverage AI and LLM tools to accelerate code development and communicate analytical insights to both technical and non-technical stakeholders.

Develop visualizations, statistical analyses, and prototypes that demonstrate the value of Tomorrow.io’s meteorological data, and validate AI weather models and products. Collaborate with scientific, engineering, marketing, and customer teams to troubleshoot data and model performance, develop customer use cases, and support proprietary satellite data applications.

The Field Application Scientist will present and demonstrate QIAGEN Digital Insights data science products to customers while acting as a technical advocate. They will also engage in scientific discussions, deliver workshops, and collaborate with internal teams to support product development and sales efforts.

The role involves designing and maintaining scalable machine learning and statistical models to improve employee experience. You will collaborate with cross-functional teams to solve business challenges and communicate complex insights to diverse stakeholders.