Biotech Scientist: Metabolic Engineering & AI-Driven R&D

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

ISCE2 seeks a Scientist to join a multi-disciplinary team to develop next‑generation sustainable technology for biomanufacturing of fine and specialty chemicals. The role involves designing experiments, employing AI/ML, mentoring junior researchers, and delivering milestones.

The candidate should have a PhD in relevant fields, a strong background in chemical/biological engineering and genomic engineering, with >2 years post-PhD preferred.

Qualifications

• PhD in Biochemistry, Microbiology, Biotechnology, Chemical Engineering or Biological Engineering or equivalent.
• Post-PhD experience preferred (>2 years) or outstanding fresh PhD graduates.
• Adaptable to team goals and requirements.
• Rigorous data analysis, interpretation and problem-solving abilities.
• Excellent written and oral communication, documentation and organization.

Responsibilities

• Design and conduct experiments to optimize biochemical pathways or cellular organisms for chemical production.
• Leverage advanced tech, including AI/ML, to accelerate development.
• Maintain records, analyze data and present findings at meetings and conferences.
• Supervise and mentor junior researchers in the team.
• Develop proposals to support industry engagement and funding opportunities.
• Write and publish high-impact papers and prepare disclosures and patent applications.
• Deliver project milestones within timeline and resource constraints.
• Represent the institute at industry meetings and events.
• Undertake other duties as assigned by the manager.

Skills

Analytical data interpretation

Education

PhD in Biochemistry, Microbiology, Biotechnology, Chemical Engineering or Biological Engineering

Tools

AI/ML tools

Job description

ISCE2 seeks a Scientist to join a multi-disciplinary team to develop next‑generation sustainable technology for biomanufacturing of fine and specialty chemicals. The role involves designing experiments, employing AI/ML, mentoring junior researchers, and delivering milestones.

The candidate should have a PhD in relevant fields, a strong background in chemical/biological engineering and genomic engineering, with >2 years post-PhD preferred.