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Application Scientist, Singapore

CuspAI· Scientific Discovery
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Hybrid (Singapore, SG)Full-timePosted 4mo ago

About the role

Role focused on delivering partner projects by translating experimental, computational, and machine learning insights into actionable plans within a matrix-team structure. Hybrid work in Singapore with global collaboration and travel as needed.

Responsibilities

  • Lead partner projects from scoping to delivery, as a key point of contact alongside the technical program managers.
  • Write technical scopes that define objectives, deliverables, success criteria, and timelines.
  • Prepare regular technical reports and presentations for partners and internal teams.
  • Apply and extend the platform to partner problems, using simulation, machine learning, data-driven optimisation, or experiments as the project requires.
  • Design and steer discovery campaigns, including agentic and closed-loop campaigns with partner labs.
  • Assess when models, simulations, and data can be trusted, and contribute to validating them against experiments.
  • Translate platform recommendations into clear, executable experimental plans, and translate lab realities back into requirements for internal teams.
  • Make sure data from partners and our own workflows are clean, structured, and consistent.
  • Work closely with partner labs, including on-site visits at key stages of a project.
  • Build and automate workflows that run reliably at scale within our platform.
  • Relay partner feedback to TPMs, ML researchers, and platform engineers to improve tools and workflows.
  • Stay informed about advances in your field and contribute to the scientific direction of your team.

Qualifications

  • A PhD in chemistry, materials science, physics, chemical engineering, or a related field, or equivalent industry experience.
  • Deep, hands-on expertise in at least one of: atomistic simulation (including machine-learned force fields); experimental materials or chemistry, ideally with automation or high-throughput methods; materials or cheminformatics with machine learning and optimisation.
  • A track record in one or more of the application areas above.
  • Python skills for data handling, analysis, automation or modelling, and familiarity with version control (Git).
  • Exceptional ability to communicate with both experimental and computational scientists, and to translate between them.
  • A personal passion for CuspAI's mission and the potential of AI to unlock breakthroughs in materials science.

Skills

Required:Experimental lab experienceAI/ML exposurePython scriptingCommunicationExperimental campaign design

Benefits

  • A competitive salary: We value and reward impact and growth
  • Equity in CuspAI: You have a stake in the success of the company
  • Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
  • ‘Gold Standard’ parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay
  • Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
  • Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through bleeding-edge technology
  • True interdisciplinary teamwork: Collaborative environment bridging AI research, computational chemistry, and experimental science with world-class researchers and engineers
Last updated Oct 22, 2026. Interested? Apply on the company site.

About CuspAI

CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress.

CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress.

AImaterials
Company profileWebsite

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