Company Description
SynLaia Innovations is pioneering the integration of mechanical dynamics in human biology and drug discovery. By combining spatial cell and tissue mechanomics with multi-modal omics data, the company develops novel insights and interventions into cell and tissue mechanical states in both health and disease.
Role Description
This is a hybrid role based in Cambridge with flexibility for remote work. The Computational/ML Scientist will contribute to the development and application of machine learning models and algorithms on multi-modal datasets, focusing on integrating mechanomics and omics data. Day-to-day responsibilities include data preprocessing, designing scalable computational frameworks, conducting advanced analyses, implementing high-performance computing solutions, and collaborating with interdisciplinary teams to advance research and technical innovation.
We welcome recent graduates to join us in a paid internship designed to evolve into a full-time position as you grow with the company. Start date: January 2026.
Qualifications
- Experience is spatial omics and image analysis
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- Good foundation in Physics and Applied Mathematics for modeling and problem-solving in biological systems.
- Proficiency in programming and familiarity with computational tools and libraries (e.g., Python).
- Exceptional problem-solving skills and proactive attitude
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- Strong written and verbal communication skills for presenting findings.
- Degree (or equivalent) in Computational Science, Physics, Applied Mathematics, Bioinformatics, or related fields (PhD is preferred but not mandatory)
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- Experience in biomedical research or drug discovery applications is advantageous
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- Must have the right to work in the UK, as we are unable to provide visa sponsorship at this time.
What We Offer
• Competitive Compensation
Salary aligned with company stage, experience and market standards, with potential to grow as the company grows.
• Equity/Ownership Opportunities
Stock options or profit-sharing to ensure you share in the company’s success.
• Flexible Working Arrangements
Hybrid or remote options, flexible hours, and support for work–life balance.
• Cutting-Edge Projects
Work at the intersection of AI, mechanics and spatial biology, solving real-world challenges with innovative tools.
• Collaborative Culture
Small team with everyone hands on.
• Global and Health Impact
Opportunity to contribute to projects that advance science and improve lives worldwide.
Ready to make an impact? Apply on LinkedIn with your CV and short paragraph of what motivates you - we can’t wait to meet you.
This posting will close once we receive a sufficient number of applications, so don’t wait - apply as soon as possible to be considered.
