Top Hybrid Data Analysis Jobs in Boston, MA

The Bioinformatics Manager will lead drug discovery projects, build client relationships, and mentor junior team members while delivering innovative solutions.

Responsible for scientific oversight and quality of late-stage oncology clinical trials, partnering with colleagues to ensure successful execution, protocol authoring, and data analysis.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

Design, prototype, and deploy statistical and ML models for lifecycle marketing to drive acquisition, engagement, retention, and upsell. Run and evaluate experiments (A/B tests, bandits), collaborate with engineers/ML Ops to productionize models, and communicate insights to stakeholders.

The role involves managing performance marketing campaigns, analyzing data for insights, and collaborating on strategy for mid-funnel growth.

Use SQL and experimentation to measure and improve sportsbook performance. Design and analyze A/B tests, build analysis-ready datasets, create dashboards and automated reports, and present insights to Product, Operations, and Data Science to drive business decisions.

The Data Scientist I will engage with clients to solve scientific problems, guide them through platform usage, and enhance client experience through documentation and training.

As an Applied Researcher I, you will collaborate with a diverse team to develop AI-powered products, engage in applied research, and utilize various AI technologies to enhance customer experiences.

The role involves leveraging data analytics and advanced techniques to provide client insights, manage financial data, mentor juniors, and uphold quality standards.

The Risk Analytics Associate will analyze client data, deploy AI models for synthetic data generation, and communicate insights to stakeholders, adhering to data privacy standards.