The Senior Data Scientist will develop advanced analytics to enhance product value, mentor junior members, and lead initiatives in healthcare commercialization.

As a Data Scientist, you will design and operationalize advanced analytics, develop scalable models, and collaborate with teams to enhance product capabilities in healthcare.

The Sales Development Representative will generate leads through outreach, qualify and engage prospects, and collaborate with sales teams for effective market engagement, all while participating in ongoing training and professional development.

The Senior Revenue Operations Analyst will support go-to-market teams with insights and reporting, optimize processes, and analyze revenue trends to drive operational efficiency and revenue growth.

The Associate Principal will translate client needs into analytical specifications, ensure quality control of analytical outputs, and deliver clear insights while overseeing methodologies and clinical context research.

The Lead Customer Engagement Manager will oversee customer outcomes, driving adoption and retention by guiding life sciences clients in using healthcare data analytics for their business needs.

The Vice President/Head of AI will define and execute the AI strategy, oversee R&D for AI/ML models, integrate AI capabilities across products, and lead a high-performing AI team, ensuring ethical standards and compliance.

Lead integrated digital demand strategy across paid media and SEO/GEO to drive pipeline and revenue. Manage paid media performance, agency partners, budgets, measurement, and reporting. Use analytics to optimize spend, run experiments, and partner cross-functionally to improve full-funnel demand generation.

Design, build, and maintain scalable ETL/ELT pipelines using Python, Spark, Databricks, Airflow and SSIS. Integrate and cleanse diverse healthcare datasets, implement Unity Catalog for metadata and governance, optimize Spark performance and JVM tuning, support Medallion architecture, and collaborate with cross-functional teams to automate CI/CD, observability, and data quality processes.

Own the roadmap and operational health of an audience activation platform. Define requirements, manage taxonomy and segment lifecycles, ensure QA and compliance, syndicate audiences to AdTech partners, monitor performance, and lead cross-functional delivery with Data Engineering, Data Science, Sales, and Partnerships.