Cusp.AI

3 months ago

Head of Scientific Applications, Singapore

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead the Singapore-based technical face for CuspAI, overseeing local Applications Scientists, translating commercial requirements into technical strategy, and coordinating with Europe. Build the technical roadmap, manage regional projects, and drive partnerships across APAC while aligning with global platform and research development.

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•Act as the main technical point of contact for all CuspAI projects and partnerships in Singapore.
•Develop and articulate the technical capabilities of the CuspAI platform to partners and potential clients.
•Play hands-on roles in all aspects of technical projects, including writing detailed technical proposals, defining project objectives, and delivering projects.
•Translate high-level commercial requirements from the Chief Strategy Officer, Managing Director, Singapore and partners into achievable, well-defined technical work packages and realistic deliverables.
•Work closely with Technical Program Managers (TPMs), Application Scientists, and the core ML and Platform Engineering teams to map out project timelines and resource allocation.

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityPaid Leave

Key Requirements

•PhD or equivalent in Materials Science, Chemistry, Chemical Engineering, or a related computational field.
•A strong computational modelling background in chemistry or materials science.
•Deep and broad subject matter expertise across multiple materials science disciplines relevant to CuspAI, such as: Semiconductors, Catalysis, Separations & Surfaces, or Energy materials.
•Proven experience in line managing, mentoring, and helping to develop a technical team (e.g. Application Scientists, Machine Learning Engineers, or similar highly technical roles).
•Experience working on a range of external projects, translating requirements into deliverables.

Experience:Materials scienceArtificial intelligenceChemistry

Education:PhD / Doctorate in Materials Science

Skills:CommunicationLeadershipMentoringStrategic thinkingStakeholder management

Languages:English

Tech Stack:Computational modellingMachine learningAiMl opsPlatform engineering

Company Brief

Cusp.AI

CuspAI builds AI foundation models and simulation tools to accelerate discovery and design of novel materials for applications like batteries, semiconductors, water treatment, and carbon capture, combining generative models with physics-based simulation.

Industry: Materials Science

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Valuation: USD 500M to 1B

Funding: Series A

Headquarters: Cambridge, United Kingdom

Founded: 2024

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Cusp.AI

3 months ago

Head of Scientific Applications, Singapore

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•Act as the main technical point of contact for all CuspAI projects and partnerships in Singapore.
•Develop and articulate the technical capabilities of the CuspAI platform to partners and potential clients.
•Play hands-on roles in all aspects of technical projects, including writing detailed technical proposals, defining project objectives, and delivering projects.
•Translate high-level commercial requirements from the Chief Strategy Officer, Managing Director, Singapore and partners into achievable, well-defined technical work packages and realistic deliverables.
•Work closely with Technical Program Managers (TPMs), Application Scientists, and the core ML and Platform Engineering teams to map out project timelines and resource allocation.

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityPaid Leave

Key Requirements

•PhD or equivalent in Materials Science, Chemistry, Chemical Engineering, or a related computational field.
•A strong computational modelling background in chemistry or materials science.
•Deep and broad subject matter expertise across multiple materials science disciplines relevant to CuspAI, such as: Semiconductors, Catalysis, Separations & Surfaces, or Energy materials.
•Proven experience in line managing, mentoring, and helping to develop a technical team (e.g. Application Scientists, Machine Learning Engineers, or similar highly technical roles).
•Experience working on a range of external projects, translating requirements into deliverables.

Experience:Materials scienceArtificial intelligenceChemistry

Education:PhD / Doctorate in Materials Science

Skills:CommunicationLeadershipMentoringStrategic thinkingStakeholder management

Languages:English

Tech Stack:Computational modellingMachine learningAiMl opsPlatform engineering

Company Brief

Cusp.AI

Industry: Materials Science

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Valuation: USD 500M to 1B

Funding: Series A

Headquarters: Cambridge, United Kingdom

Founded: 2024

Website LinkedIn Glassdoor