Director of Product Development AI

  • Competitive
  • -, United States
  • Permanent

Director of Product Development AI


  1. Leadership: Provide strategic leadership for the computational sciences team, guiding research and development efforts in alignment with organizational goals.
  2. Team Management: Oversee a team of computational scientists, researchers, and analysts, fostering collaboration and a culture of innovation.
  3. Research Strategy: Develop and implement a research strategy for computational sciences, staying abreast of industry trends, emerging technologies, and best practices.
  4. Project Management: Direct and manage complex computational projects, ensuring timely delivery and alignment with project objectives.
  5. Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to integrate computational solutions into broader projects.
  6. Resource Allocation: Effectively allocate resources, including budget, personnel, and computational infrastructure, to optimize team performance.
  7. Stakeholder Engagement: Engage with internal and external stakeholders, presenting findings, insights, and the impact of computational sciences on organizational goals.
  8. Innovation: Drive innovation by exploring and implementing new computational methodologies, algorithms, and technologies.



  1. Next-Gen Platform Development: Lead the development of the next generation of the Rader platform, focusing on product-level advancements.
  2. AI and Big Pharma Expertise: Possess a deep appreciation for AI and a strong understanding of the big pharma industry, aligning product development with industry needs.
  3. Remote Team Management: Manage remote development teams in India, ensuring efficient collaboration and successful project delivery.
  4. Commercial Awareness: Demonstrate commercial awareness, understanding the business implications of product decisions and contributing to the platform's overall success.
  5. Hands-On Energy: Bring hands-on energy to the role, actively contributing to the development process and fostering a dynamic and innovative work environment.
  6. Computational Biology Knowledge: While a Ph.D. is not required, a background in computational biology would be advantageous, contributing to the intersection of AI and drug discovery.
  7. Pharma or AI Company Experience: Minimum of 3 years of experience in the pharmaceutical or AI industry, with a proven track record in product development.
  8. Cancer Experience: Experience in cancer research or related fields is a significant plus, contributing to the platform's focus on drug discovery.
  9. Location and Travel: Ideally based in Dallas or Plano, with a willingness to travel to India as needed. Full-time employment is preferred.
  10. Strategic Hiring: Play a key role in hiring a substantial number of team members in India in the near future, contributing to the growth and success of the platform.

Application Details:

This is a strategic hire, and while the position is not super urgent, the right candidate will enable swift progress. If you possess the required skills and experience, we encourage you to apply and be part of a dynamic team shaping the future of AI-driven drug discovery.

Amanda Blunck Lead Recruiter

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