Senior Research Officer II, Computational Chemist, AIDD

A*STAR - Agency for Science, Technology and Research; Singapore; Vor Ort; SGD 45.000 - 65.000; Vollzeit

Zusammenfassung

The A*STAR Research unit in Singapore is seeking a junior computational chemist to advance AI-enabled approaches for small molecule drug discovery. You will apply cutting-edge computational methods to drive hit-to-lead design and lead optimization.

Candidates should have a life sciences or computational sciences background with 2+ years of related experience, strong scripting skills (Python), and familiarity with industry tools such as Schrödinger, Desmond, or Knime.

Qualifikationen

• Undergraduate or master’s degree in life sciences or computational sciences with at least 2 years of related work experience.
• Good knowledge in chemistry and protein structure with basic medicinal chemistry.
• Experience using computational chemistry software (Schrödinger, Desmond, Knime) in drug discovery.
• Experience developing ML models for drug discovery applications.
• Publications in the field are a plus.
• Fluent in at least one scripting language (e.g., Python).
• Independent, creative, collaborative, and strong communication skills.

Aufgaben

• Apply computational chemistry and AI-enabled methods to small molecule drug discovery projects.
• Collaborate with biologists and chemists for hit-to-lead design and lead optimization.
• Work with AI scientists and software engineers to develop ML models for in-house programs.

Kenntnisse

Python

molecular modeling

machine learning

team collaboration

Ausbildung

Bachelor's or Master's degree in life sciences or computational sciences

Tools

Schrodinger

Desmond

Knime

Jobbeschreibung

Job Description

The new national program hosted by A*STAR, Singapore - AI in Drug Discovery (AIDD) is hiring a junior computational chemist to join the team to strengthen our efforts in computer-aided and AI-enabled approaches for small molecule drug discovery. As part of the team, the scientist will apply cutting-edge computational methods such as co-folding, molecular docking, molecular dynamics simulations, free energy calculations, and ADME predictions to drive small molecule drug discovery projects. The scientist will have opportunities to collaborate closely across functions, with biologists and chemists to support hit-to-lead design and lead optimization, with AI scientists and software engineers to develop machine learning models for in-house discovery programs.

Key Requirements

• Holds an undergraduate or master’s degree in life sciences or computational sciences with minimal 2 years of working experience in a similar role
• Good knowledge in chemistry and protein structure with basic knowledge in medicinal chemistry
• Experience in applying computational chemistry software (e.g. Schrodinger, Desmond, Knime workflow) in drug discovery projects
• Experience in developing machine learning models for their applications in drug discovery research
• Track record of scientific publications in the field is a plus
• Fluent in at least one scripting or programming language (e.g. Python)
• Personal attributes of independence, integrity, creativity, problem solving, team player, excellent communication skills and strong work ethic