What You’ll Do

1. Industry Insights & Customer Requirement Translation

• Engage closely with pharmaceutical companies (particularly those focused on small molecule drug discovery and medicinal chemistry) and research institutions to develop a deep understanding of their drug discovery workflows, scientific challenges, and R&D decision-making processes.
• Identify key business pain points and emerging opportunities across the drug discovery lifecycle, from target discovery through preclinical development.
• Translate customer needs into clear product requirements and functional specifications that can be effectively executed by Engineering, AI, and Data teams.

2. Product Solution Design

• Leverage the company's AI capabilities, proprietary data assets, and technology platforms to design innovative product solutions that address customers' drug discovery challenges.
• Work closely with Engineering, AI, and Data teams to define product requirements, solution workflows, and feature roadmaps, ensuring both scientific value and commercial impact.
• Drive continuous product improvement by incorporating customer feedback and evolving industry needs.

3. Business Collaboration

• Act as the scientific product expert to support Business Development (BD) and Sales teams during strategic customer engagements.
• Participate in customer workshops, scientific discussions, product demonstrations, and key account collaborations, helping customers understand how AI technologies can improve drug discovery efficiency.

4. Trend Research & Knowledge Development

• Continuously monitor advances in small molecule drug discovery, AI for drug discovery, and pharmaceutical R&D.
• Evaluate emerging technologies, scientific trends, and industry developments to identify future product opportunities.

What We’re Looking For

Qualifications

Educational Background

• Master's degree or above in Medicinal Chemistry, Chemical Biology, Computational Chemistry, Bioinformatics, Pharmaceutical Sciences, or related disciplines.

Industry Experience

• 5+ years of experience in the life sciences industry with direct involvement in small molecule drug discovery or pharmaceutical R&D.
• Deep understanding of the end-to-end drug discovery workflow and familiarity with R&D decision-making processes within pharmaceutical and biotechnology companies.
• Hands-on experience in one or more stages of drug discovery, such as Hit Discovery, Hit-to-Lead (H2L), SAR analysis, Lead Optimization, or Preclinical Candidate Selection, is highly desirable.

AI & Data Acumen

• Strong understanding of AI applications in drug discovery and the ability to evaluate their scientific and practical value.
• Strong data awareness with the ability to translate scientific workflows into scalable AI-powered product capabilities.

Product Mindset & Core Competencies

• Strong product thinking with the ability to identify customer pain points and translate them into product opportunities.
• Excellent logical thinking, analytical skills, and abstraction ability.
• Outstanding communication and influencing skills, with the ability to collaborate effectively across scientific, engineering, AI, and commercial teams.
• Passionate about applying AI technologies to accelerate pharmaceutical R&D.

Language

Ability to communicate effectively in English as a working language, both in written and verbal forms.