Top Biotech Jobs in Tulsa, OK

The Marketing Events Manager plans and executes customer and employee engagement programs, coordinates events, manages vendors, and tracks budgets to align with marketing strategies.

The Associate Director will enhance J&J's MedTech leadership in ASCs, developing strategic relationships and executing market growth strategies to expand patient care access and procedural adoption.

Lead global Phase 2b clinical studies in inflammation, oversee project execution, manage timelines and budgets, and mentor project teams.

The Clinical Data Reviewer is responsible for clinical data assessment, checking data validity, generating queries, and supporting clinical trials for oncology drug development, ensuring data quality for submissions and analyses.

The role involves assisting in software development by building features, collaborating with teams, and learning software architecture in a dynamic environment.

Manage Pall Corporation's global Export Compliance program, focusing on ITAR compliance. Serve as SME on U.S. export controls, collaborate with site leaders, and draft export license applications.

The Director of Clinical Development will oversee clinical trials in inflammation and immunology, collaborating with cross-functional teams, ensuring protocol adherence, and providing scientific insights for decision-making.

The AI Researcher Intern will assist in AI-related research including architecture design, memory systems, and multi-agent collaboration.

The Senior Accountant manages financial reporting, compliance, and month-end close processes, ensuring accuracy with GAAP, while driving process improvements and system automation.

The Senior Director Global HEOR will lead HEOR strategy development, generate data for clinical and reimbursement purposes, and collaborate across functions globally to enhance patient access to treatments.

The Senior Project Manager oversees clinical study projects ensuring quality, scope, cost, and timely delivery while managing budgets and collaborating with all stakeholders.

The ML Engineer will contribute to the automated discovery engine, developing RL frameworks, synthetic data engines, and evaluating performance using proprietary datasets.