Senior Project Manager

This role will be responsible for leading the development, implementation and roll-out of a data science ecosystem to support R&D activities at our client. The ideal candidate should possess deep domain expertise in pharmaceutical R&D processes, a strong understanding of data science applications in drug discovery and development, and significant prior experience building and rolling out large technical platforms. Very strong project management skills are also a must.

*******Must be onsite 1-2 days a week********

Responsibilities:

• Leverage domain knowledge of pharmaceutical R&D to drive the implementation and rollout of key DSE components, including data pipelines, machine learning models, and user interfaces, in 90-day sprints while working with senior leadership.
• Understand the current landscape of available data science solutions in pharma R&D and work on harmonizing existing solutions within the agreed upon DSE architectural framework.
• Provide an external perspective on best practices for implementing a DSE platform to enable data-driven decision making across the pharmaceutical R&D lifecycle, from early discovery through clinical development and regulatory approval.
• Collaborate with cross-functional R&D stakeholders to gather requirements and ensure the DSE effectively addresses use cases and pain points specific to pharmaceutical R&D.
• Define and track KPIs to measure the impact of the DSE on R&D productivity, efficiency, cycle times, and scientific/clinical outcomes.
• Clearly articulate the vision and business value of the DSE to R&D stakeholders, contextualizing benefits through the lens of accelerating drug discovery and development.

Required Qualifications:

• Advanced degree in life sciences, pharmacy, pharmaceutical sciences or related field. PhD preferred.
• 10 years of experience in pharmaceutical R&D, with at least 5 years in roles involving applications of data science.
• Deep understanding of the end-to-end pharmaceutical R&D lifecycle and key data science use cases and opportunities in areas such as target identification, lead optimization, preclinical studies, clinical trial design and analysis, regulatory science, etc.
• Significant experience leading the development and implementation of large-scale data platforms or technical ecosystems, ideally within the pharmaceutical/life sciences industry.
• Exceptional project management skills and ability to coordinate and drive execution across global, cross-functional teams.
• Strong communication and stakeholder management skills with the ability to translate between technical and scientific domains.