BranchLab

Data Scientist

• Work with cross functional leadership to understand business needs and prioritize the most impactful projects to develop products that drive business impact
• Lead large-scale data science projects from planning to execution and delivery of productionized ML/AI models
• Build and retain a team of high performing data scientists
• Communicate about results and deliverables to internal and external stakeholders
• Research industry trends and standards to proactively drive areas of improvement

Data Science Manager

• Design and implement innovative disease population modeling pipelines using rigorous deep learning approaches
• Use SQL and Python to write accurate, understandable, reproducible, and production-quality methods
• Understand healthcare data and the latest machine learning/AI research and suggest ways to incorporate this to improve our models
• Collaborate with solutions and product teams to translate business needs into data-driven solutions
• Provide guidance and mentorship to junior team members and lead technical reviews of models and pipelines

Senior Data Scientist

Solutions Engineer

• Own technical onboarding and integration delivery for enterprise pharma manufacturers, agency customers, and publishers.
• Troubleshoot and resolve campaign activation issues across third-party data platforms, including identity matching, delivery failures, and data validation.
• Partner with customer and platform teams to diagnose activation gaps, ensure successful audience delivery, and validate downstream performance.
• Design and implement secure data integrations across customer environments, including APIs, batch pipelines, and privacy-safe workflows.
• Partner with data and engineering teams to support ingestion of marketing, and advertising datasets.
• Build integration tooling, reusable connectors, and documentation to scale onboarding across customers.
• Support pre-sales technical discovery and solution design for strategic enterprise opportunities.
• Ensure integrations meet the highest standards for privacy, compliance, and reliability in regulated healthcare settings.

• Develop disease population modeling pipelines using rigorous statistical and machine learning approaches
• Develop statistically and epidemiological rigorous approaches to measure the success of an experiment in a population
• Use SQL and Python to write accurate, understandable, and reproducible methods
• Collaborate with solutions and product teams to translate business needs into data-driven solutions