Scientific Product Manager – AI Drug Optimization Solutions

Company OverviewMedMap 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 SummaryJob 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.ResponsibilitiesDesign AI-driven drug optimization strategies to advance lead optimization programs effectivelyTranslate pharmaceutical customer requirements into actionable AI-enabled Design-Make-Test-Analyze (DMTA) workflowsPrepare detailed technical proposals, statements of work, quotations, proof-of-concept plans, and responses to RFPs/RFIs to support business developmentPresent MedMap’s AI-driven drug discovery (AIDD) methodologies and scientific capabilities to internal teams and external clientsCollaborate closely with AI scientists, computational chemists, and biology teams to align scientific and product objectivesPreferred competencies and qualificationsMaster’s degree or higher in medicinal chemistry, pharmaceutical sciences, computational chemistry, drug discovery, or related fields; PhD preferredMinimum 5 years of experience in drug discovery, lead optimization, medicinal chemistry, computational chemistry, or AI-driven drug discoveryStrong knowledge of Hit-to-Lead, Lead Optimization, Candidate Selection, and DMTA workflowsProficiency in English; Mandarin language skills are advantageous for client communication