Director of AI and Data Science

Strive Solutions; Bridgeport (Montgomery County); On-site; USD 180,000 - 260,000; Full time

Job summary

Strive Solutions seeks a Director, AI & Data Science to lead strategy and execution of analytics across a biotechnology portfolio. You will build and guide a high-performing team applying machine learning, real-world evidence, and predictive modeling to accelerate discovery, clinical development, and manufacturing of therapies for rare diseases.

Responsibilities include partnering with R&D, clinical, and operations leaders to drive data governance, model rigor, ethical AI practices, and

Qualifications

• Strong leadership in AI and data science.
• Expertise in machine learning and predictive modeling.
• Experience leveraging real-world evidence for decision making.
• Ability to ensure governance and ethical AI while communicating insights clearly to diverse stakeholders.

Responsibilities

• Lead strategy and execution of analytics across biotechnology portfolio.
• Build and guide a high-performing AI & DS team.
• Partner with R&D, clinical, and operations leaders to drive data governance and model rigor.
• Translate analytics into high-impact business and scientific decisions.

Skills

Leadership in AI & DS

ML & Predictive Modeling

Real-World Evidence

Governance & Ethical AI

Stakeholder Communication

Job description

Director, AI & Data Science

leads the strategy and execution of advanced analytics across a biotechnology portfolio. You will build and guide a high-performing team to apply machine learning, real-world evidence, and predictive modeling to accelerate discovery, clinical development, and manufacturing of therapies for rare and serious diseases.

Key responsibilities include partnering with R&D, clinical, and operations leaders to:

• Drive data governance, model rigor, and ethical AI practices
• Translate complex analytics into high-impact business and scientific decisions
• Champion rigorous analytics standards and responsible model use
• Support cross-functional collaboration to improve data-driven outcomes

Qualifications/skills:

strong leadership in AI and data science, expertise in ML and predictive modeling, experience leveraging real-world evidence, and the ability to ensure governance and ethical AI while communicating insights clearly to diverse stakeholders.