Senior Director, AI Data Science

Scorpion Therapeutics; United States; Remote; USD 250,000 - 360,000; Full time

Job summary

Scorpion Therapeutics is seeking a Senior Director of AI Data Science to lead strategy, operations, and innovation in AI/ML and data analytics within biopharma R&D. You will shape the long-term roadmap, build a world-class team, and establish rigorous standards for model development, validation, and responsible AI.

The role requires extensive AI/ML experience in clinical or pharma settings (GxP), strong leadership and budget management, and collaboration with Biostatistics, Clinical Data

Qualifications

• Extensive AI/ML experience in clinical or pharma settings (GxP).
• Proven leadership and budget management experience.
• Strong collaboration across Biostatistics, IT, and Clinical Data Management.

Responsibilities

• Define multi-year AI/ML roadmap.
• Build and manage a multidisciplinary team.
• Establish standards for model development, validation, interpretability, and responsible AI.
• Oversee data platforms and pipelines on cloud infrastructure.
• Guide AI governance, risk management, and compliance.
• Serve as a scientific thought leader externally.
• Travel up to 20% globally.

Skills

AI/ML leadership

Stakeholder influence

Budget management

Education

PhD in Data Science / related field

Tools

Databricks

AWS

Job description

Role

Senior Director of AI Data Science to lead strategy, operations, and innovation in AI/ML and data analytics within biopharma R&D.

Responsibilities

• define multi-year AI/ML roadmap
• build and manage a multidisciplinary team
• establish standards for model development, validation, interpretability, and responsible AI
• oversee data platforms and pipelines on cloud infrastructure
• guide AI governance, risk management, and compliance
• and serve as a scientific thought leader externally

Qualifications

• Bachelor's (15+ years), Master's (13+ years), or PhD (12+ years) in Data Science, Computer Science, Statistics, or related field
• extensive experience in AI/ML solutions in clinical or pharma settings, including GxP environments
• proven leadership, stakeholder influence, and budget management skills

Preferred

experience with clinical data standards (CDISC), clinical development processes, and AI governance.

High-Value

focus on AI/ML in drug development, clinical data, real-world evidence, cloud platforms (Databricks, AWS), and GxP compliance.

Collaboration

• partners with Biostatistics
• Statistical Programming
• Clinical Data Management
• IT
• R&D
• external industry forums

Work Setup

primarily remote with travel up to 20% globally.