Top Biotech Data & Analytics Jobs in Austin, TX

Responsible for managing all data management activities for clinical studies, including data collection, cleaning, reporting, and validation, while ensuring regulatory compliance and quality data delivery.

The Change Analyst oversees master data governance and execution in Agile PLM and SAP, ensuring data integrity, compliance, and project support for product changes.

The Senior Director will establish and lead the Real-World Data & Analytics group, oversee RWD strategy, engage in complex analytics projects, and build a high-performing team in the oncology domain.

The Business Systems Analyst works with internal partners to enhance software platforms, manage templates, and translate business needs into product requirements. Responsibilities include producing clear documentation, collaborating on product roadmaps, and prioritizing features in software development, ensuring quality and compliance in a healthcare environment.

The Senior Manager, Commercial Forecasting and Insights oversees global forecasting, improves forecasting processes, drives data-driven decisions, and partners with sales and finance to align initiatives with business strategy.

The Senior Manager is responsible for global forecasting processes, enhancing predictive analytics, providing commercial insights, and improving revenue performance through data-driven decision support and collaboration with cross-functional teams.

The Bioinformatics Scientist analyzes lab-generated data, creates computational models, and develops tools for NGS data analysis, while collaborating with teams.

The role oversees analytical characterization and comparability studies for biologics, ensuring regulatory compliance and leadership in product development.

The Principal, Volume Forecasting will lead the end-to-end forecasting process, utilizing data-driven models and AI tools to influence strategic decisions, manage stakeholder input, and analyze market impacts on demand.

The Clinical Data Manager oversees the quality and integrity of clinical trial data, ensuring compliance with protocols and regulations while collaborating with various teams.