Medicinal Chemist, LeadFactor (AIDD)

Location
D05 Clementi New Town, Hong Leong Garden, Pasir Panjang
Job Type
Full-time
Experience
Mid
Category
General
Salary
$7,100 - $14,200
Posted
5 days ago
Expires
Jun 10, 2026
Views
2

Job Details

Vacancies

1 position

Experience Required

No experience required

Job Description

The Artificial Intelligence (Al) in Drug Discovery (AIDD), hosted by the Singapore Agency of Science, Technology and Research (A*STAR), is Singapore's national programme for the utlization of Al in drug discovery. A cornerstone of our procramme is the AIDD LeadFactory. a central technology platform specitically designed for Al-driven medicinal chemistry. This cutting-edge facility provides the expenmentaland computational infrastructure to translate Al generated insights into tangible chemical matter and accelerating lead optimization.

We are seeking a highly motivated medicinal chemist to work at the forefront of experimental drug discovery. As an AIDD Medicinal Chemist, you will be instrumental in the practical execution of AIDD drug discovery projects. You will apply your deep knowledge of synthetic organic and medicinal chemistry to design and synthesize novel compounds, working closely with AI/ML experts and biologists to drive projects forward. You will play a key role in contributing to the development of the AIDD assets.

Key responsibilities:

  • Compound design: Contribute to the design of novel small molecules based on AI-generated hypotheses, structure-activity relationship (SAR) analysis, and in silico predictions (e.g., binding poses, ADMET properties).
  • Chemical synthesis: Devise multi-step organic synthesis strategies for target molecules, including route scouting, reaction optimization, purification, and analytical characterization, and identify and interact with CROs for compound purchasing and synthesis.
  • Lead optimization: Support lead optimization efforts through iterative design and synthesis, aiming to improve potency, selectivity, pharmacokinetics, and other key drug-like properties.
  • Data analysis & interpretation: Analyze biological and physicochemical data, interpret SAR, and provide critical insights to guide future design efforts.
  • Collaboration: Work effectively within highly interdisciplinary teams, collaborating closely with computational chemists, AI/ML scientists, biologists, and pharmacologists.
  • Problem solving: Proactively identify and solve synthetic challenges and optimize chemical processes.
  • Documentation & presentation: Maintain meticulous records of experimental work, prepare reports, and present findings clearly and concisely to internal and external stakeholders.

Your profile:

We are looking for a highly skilled, innovative, and collaborative individual with:

  • A PhD in Medicinal Chemistry, Organic Chemistry, or a closely related field, with 8 years of relevant postdoctoral or industry experience in drug discovery.
  • Demonstrated expertise in modern synthetic organic chemistry, including a broad range of reaction types and purification techniques.
  • A strong understanding of medicinal chemistry principles, including SAR, lead optimization strategies, and drug-likeness parameters.
  • Proven ability to design and synthesize novel compounds to address specific biological targets and achieve desired pharmacological profiles.
  • Experience with the use of standard computational tools for medicinal chemistry (e.g., ChemDraw, SciFinder, Reaxys, molecular visualization software).
  • An eagerness to integrate and work with AI/ML-driven design concepts and automated experimental platforms (e.g., automated synthesis, high-throughput screening).
  • Excellent problem-solving skills and a strong commitment to scientific rigor.
  • Outstanding communication, interpersonal, and teamwork skills.

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