Scientific Solutions Specialist
Contact: Alvin Yeo Zong Han (Lic No: R24126316 / EA No: 16S8194)
Quote Job Ref:
Phone Number: +65 6027 2671
Job Advertisement: Scientific Solutions Specialist
Location: Singapore
About:
Our client is an emerging technology company focused on redefining how scientific discovery and development are executed through integrated computational and experimental approaches. By combining domain expertise with advanced data-driven tools, they support partners across various industries in accelerating innovation cycles and improving decision-making.
With continued expansion in Asia, they are looking for individuals to work closely with partners in applying these technologies to real-world scientific challenges.
Key Responsibilities:
- Collaborate with external stakeholders to apply advanced computational tools to experimental environments
- Act as a key liaison between laboratory teams and internal technical teams, ensuring alignment and execution
- Design and guide data-informed experimental campaigns and workflows
- Translate outputs from computational systems into practical, executable laboratory actions
- Support onboarding and technical engagement with partners, including troubleshooting and optimisation
- Contribute to project planning and delivery, working with cross-functional teams
- Develop scripts and tools (e.g. Python) to facilitate data processing, system integration, and workflow automation
- Capture insights from project work to inform ongoing platform and process improvements
Key Requirements:
- Hands-on experience in experimental scientific environments (e.g. chemistry, materials, or related fields)
- Practical coding ability (e.g. Python) for data handling and workflow support
- Exposure to data-driven or computational approaches in scientific contexts
- Strong ability to communicate across:
- Experimental teams
- Technical / engineering stakeholders
- Problem-solving mindset with ability to operate in dynamic, real-world scenarios
- Comfortable working directly with external collaborators and partners
Bonus Requirements:
- Exposure to automated lab systems, robotics, or high-throughput experimentation
- Familiarity with simulation, modelling, or computational chemistry concepts
- Experience in customer-facing or applied technical roles
- Background in fast-paced or evolving environments
- Interest in emerging technologies shaping scientific discovery
If you are interested in this role, please apply with your most updated CV attached.
Contact: Alvin Yeo Zong Han (Lic No: R24126316 / EA No: 16S8194)
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