Scientific Project Manager, Singapore
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A scientific project manager with this title usually runs complex research or technical projects end to end, coordinating scientists, engineers and external partners against clear milestones. A strong candidate brings a science or engineering background, solid project planning and tracking habits, and the ability to translate between lab work and software teams. Here the work centers on bringing partner labs and their experimental workflows onto an AI materials discovery platform, so comfort with both bench science and digital tools matters.
How it fits the AI era
AI compresses the design and screening loop, so project managers spend less time chasing routine data and more time on judgment, prioritization and keeping people aligned. The human core stays in scoping problems, negotiating with partners, spotting when results look wrong and deciding what to test next. This role sits where AI output meets real lab work, which is exactly where coordination and scientific sense still decide success.
How it builds AI experience
The role offers hands on exposure to AI driven materials discovery, from property targets to synthesizable designs, and to the data pipelines that connect partner labs to a platform. Building that experience means learning how experimental workflows are captured and fed into models, and how model suggestions are validated at the bench. Working closely with product and lab teams on real partner onboarding is the fastest way to gain it.
Worth showing
- Lab workflow coordination
- Partner onboarding
- Scientific project planning
- Materials science background
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About CuspAI
An AI search engine for new materials that the company says turns a wanted set of physical properties into synthesizable chemical designs in months instead of years of lab trial and error.