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