Top Biotech Data & Analytics Jobs in Dallas-Fort Worth, TX

The Biostatistician designs, analyzes, and interprets clinical trial data, collaborating with various teams and ensuring statistical rigor and compliance with regulatory standards.

Lead the Statistical Programming team at Natera, overseeing programming activities for clinical validation in oncology, regulatory submissions, and developing programming infrastructure. Mentor team members and ensure high-quality analysis aligned with regulatory standards.

Lead statistical programming for clinical trials, managing programmers and CROs. Oversee programming activities, ensuring timely support for clinical projects and developing programming processes.

The Data Integration Engineer will manage data integrations and ETL processes for healthcare data, ensuring accuracy and accessibility for business users.

The Neuroimaging Engineer will analyze MRI data, develop software for algorithms, and assist in managing neuroimaging databases and quality assurance.

Lead design and delivery of end-to-end BI solutions and market-facing analytics tools. Define strategy and roadmaps, translate business needs into requirements, guide development and testing, oversee deployments, ensure data governance, and liaise with stakeholders to prioritize fixes and maintain documentation and compliance.

The Senior Business Systems Analyst analyzes and optimizes systems, gathers requirements, collaborates with stakeholders, implements technology solutions, and manages change to improve efficiency.

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.

Administer, stabilize, and scale Oura's global Databricks environment. Manage workspace governance, cluster policies, access control, cost monitoring, job scheduling, and incident SLAs. Onboard teams, resolve performance and reliability issues, and partner with IT and Data Architecture. Over time contribute to pipeline development, Spark optimization, CI/CD, and infrastructure-as-code to support domain-oriented data mesh initiatives.

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.