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Application Scientist

CuspAI· Scientific Discovery
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Hybrid (London, UK), Hybrid (Amsterdam, NL), Hybrid (Berlin, DE), Hybrid (Cambridge, UK)Full-timePosted 3d ago

About the role

Role focused on delivering partner-driven scientific projects by bridging experimental, computational, and ML work within a matrix team, contributing to platform-scale workflows and cross-cutting capabilities.

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 required.
  • Design and steer discovery campaigns, including agentic and closed-loop campaigns with partner labs.
  • Assess when models, simulations, and data can be trusted, and validate them against experiments.
  • Translate platform recommendations into executable experimental plans, and translate lab realities back into requirements for internal teams.
  • Ensure data from partners and workflows are clean, structured, and consistent.
  • Collaborate with partner labs, including on-site visits at key stages of a project.
  • Build and automate workflows that run reliably at scale within the platform.
  • Relay partner feedback to TPMs, ML researchers, and platform engineers to improve tools and workflows.
  • Stay informed about advances in the field and contribute to the scientific direction of the team.

Qualifications

  • A PhD in chemistry, materials science, physics, chemical engineering, or related field, or equivalent industry experience.
  • Deep, hands-on expertise in at least one: 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.
  • Track record in one or more of the application areas listed.
  • 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.
  • Personal passion for CuspAI's mission and the potential of AI to unlock breakthroughs in materials science.

Skills

Required:PhD qualification or equivalent experienceAtomistic simulation / machine-learned force fieldsExperimental materials/chemistry with automation or high-throughput methodsMaterials informatics / cheminformatics with ML & optimisationPythonVersion control (Git)Communication across experimental and computational teams

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
  • Solve meaningful problems: Direct impact on advancing materials science and sustainability through cutting-edge technology
  • True interdisciplinary teamwork: Collaborative environment bridging AI research, computational chemistry, and experimental science
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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