Top Biotech Data & Analytics Jobs in Austin, TX

Responsible for executing Biostatistics strategy through collaboration on clinical study documents, oversight of vendors, and innovative statistical methodology in a biotech environment.

The Head of Biostatistics and Statistical Programming oversees statistical aspects of clinical trials, ensuring integrity and strategic planning in drug development. Responsibilities include leading teams, guiding analysis, mentoring, and collaborating across departments.

The Revenue Cycle Data Specialist analyzes billing data, develops reports and dashboards, collaborates with teams, and supports decision-making and audits.

Lead statistical programming for clinical trials, ensuring timely and accurate statistical deliverables. Oversee CROs and mentor junior programmers, adhering to regulatory standards.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The role focuses on developing market models and insights, leveraging advanced analytics to support product strategies and inform strategic choices in diagnostics.

The role involves designing complex physics problems, verifying solutions, scaling difficulty, and ensuring real-world relevance for training AI models.

The Associate Director/Senior Manager will lead commercial analytics and forecasting efforts, develop insights, establish processes, and manage data strategies within the organization.

The Director of BI & Analytics will lead data architecture, build a data lake, manage ELT/ETL pipelines, and develop enterprise reporting and models, partnering across functions to drive commercial analytics and insights.