Scientific Product Manager – AI Drug Optimization Solutions
Company Overview
MedMap https://medmap.sg is a Singapore-based biomedical innovation partner specializing in clinical validation, market access, and AI-driven drug optimization to help medical technology and biopharmaceutical teams accelerate development and market entry across Southeast Asia.
Job Summary
Job Detail link is https://medmap.sg/en/careers/
The Scientific Product Manager acts as the scientific and product liaison between pharmaceutical clients and MedMap’s teams, converting drug discovery challenges into AI-driven drug optimization solutions and supporting scientific engagements with pharmaceutical R&D.
Responsibilities
- Design AI-driven drug optimization strategies to advance lead optimization programs effectively
- Translate pharmaceutical customer requirements into actionable AI-enabled Design-Make-Test-Analyze (DMTA) workflows
- Prepare detailed technical proposals, statements of work, quotations, proof-of-concept plans, and responses to RFPs/RFIs to support business development
- Present MedMap’s AI-driven drug discovery (AIDD) methodologies and scientific capabilities to internal teams and external clients
- Collaborate closely with AI scientists, computational chemists, and biology teams to align scientific and product objectives
Preferred competencies and qualifications
- Master’s degree or higher in medicinal chemistry, pharmaceutical sciences, computational chemistry, drug discovery, or related fields; PhD preferred
- Minimum 5 years of experience in drug discovery, lead optimization, medicinal chemistry, computational chemistry, or AI-driven drug discovery
- Strong knowledge of Hit-to-Lead, Lead Optimization, Candidate Selection, and DMTA workflows
- Proficiency in English; Mandarin language skills are advantageous for client communication