Top Biotech Data & Analytics Jobs in Atlanta, GA

As Senior Manager of IT Commercial Data Management, you will lead data initiatives, manage product ownership, and develop data governance strategies in collaboration with stakeholders, ensuring high data quality and analytics capabilities.

Support the implementation and optimization of Epic modules, focusing on scheduling, registration, and CRM workflows to enhance patient engagement.

The Manager of Data Engineering will lead a team to provide analytics solutions for lab operations, manage end-to-end projects, and ensure data quality and transparency.

Lead mechanistic modeling (PBPK/QSP) to support IND-enabling decisions and FIH dose selection; integrate preclinical, biomarker, and early clinical data; oversee population PK/PKPD and exposure-response analyses; contribute to regulatory submissions; mentor staff and build internal pharmacometrics capabilities while partnering cross-functionally.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

The Associate Director, Biostatistics supports clinical development programs, ensuring the quality and timeliness of statistical deliverables and collaborating with various teams for effective study designs and data analysis.

The HR Technology BI Developer designs and develops HR analytics platforms to enhance decision-making and improve workforce planning through robust data solutions.

Lead design and implementation of the commercial data and systems foundation for launch and growth. Own Salesforce-led commercial systems, integrations, data warehouse, MDM, analytics enablement, governance, and scalable delivery to support commercial operations, reporting, and compliance.

The Data Engineer will build and maintain data infrastructure, design data pipelines, and develop reusable frameworks, leveraging technologies like Azure Databricks and PySpark for data processing and transformation.

Design and enhance data management and analytics functions, build data assets, establish engineering standards, and enable self-service data access for analytics at Danaher.