Data & AI Engineer (Life Sciences)
innoxsea · Singapore ·
- Employment
- Internship
- Category
- AI engineering
About Innoxsea:
Innoxsea is building a vertical AI intelligence platform for cross-border innovation and strategic alliances in APAC, starting with Life Sciences. Our mission is to connect ideas, talent, and capital across borders by creating a dynamic, multi-relational map of the entire innovation ecosystem.
At the heart of our platform is a proprietary data foundation—a sophisticated 'brain' that understands the relationships within the ecosystem. We are looking for a curious and driven Data & AI engineer to join our founding team and play a direct role in building this foundational asset.
What You'll Do: As a Data & AI Engineer (or Intern), you will be on the front lines of building our company's core data moat. You will work directly with the founding team to transform raw information into structured intelligence. Your responsibilities will include:
•
Knowledge Base Development:
Play a key role in the end-to-end construction of our proprietary knowledge base, from identifying novel data sources to structuring and validating information at scale. •
Systematic Data Acquisition:
Employ modern techniques to systematically acquire, process, and integrate large volumes of structured and unstructured data from diverse public sources. •
Data Integrity and Enrichment:
Implement processes for data cleaning, normalization, and enrichment to ensure the highest standards of accuracy and completeness. •
Relational Modeling:
Analyze and model the complex relationships between different entities within the innovation ecosystem to power our platform's intelligence layer.
Who You Are: • Experience in
life sciences / healthcare / pharma / biotech
. •
Detail-Oriented & Analytical:
You have a keen eye for detail and a methodical approach to problem-solving. You understand that in data, quality and accuracy are paramount. •
A Proactive Learner:
You are intellectually curious, a self-starter, and are not afraid to ask questions. You are passionate about the potential of data and AI to solve meaningful problems. •
A Data Enthusiast:
You are excited by the prospect of working with large, complex datasets and transforming them into structured knowledge. •
Currently pursuing or recently completed Mater or PhD degree
in Computer Science, Data Science, Information Systems, Statistics, Computational Biology, or a related quantitative field.
Advantages: •
Direct working experience in
business intelligence. •
Hands-on experience with agentic AI frameworks or building product-grade AI agents. • Familiarity with databases (e..g., SQL or NoSQL). • Experience with automated web data extraction techniques. • Proficiency in Python and data manipulation libraries (e.g., Pandas, NumPy).
Why Join • Your work is core to the product, not a side project. • Hands-on exposure to ecosystem intelligence and real startup building. • Direct collaboration with the founding team; high ownership and fast learning.
Innoxsea is building a vertical AI intelligence platform for cross-border innovation and strategic alliances in APAC, starting with Life Sciences. Our mission is to connect ideas, talent, and capital across borders by creating a dynamic, multi-relational map of the entire innovation ecosystem.
At the heart of our platform is a proprietary data foundation—a sophisticated 'brain' that understands the relationships within the ecosystem. We are looking for a curious and driven Data & AI engineer to join our founding team and play a direct role in building this foundational asset.
What You'll Do: As a Data & AI Engineer (or Intern), you will be on the front lines of building our company's core data moat. You will work directly with the founding team to transform raw information into structured intelligence. Your responsibilities will include:
•
Knowledge Base Development:
Play a key role in the end-to-end construction of our proprietary knowledge base, from identifying novel data sources to structuring and validating information at scale. •
Systematic Data Acquisition:
Employ modern techniques to systematically acquire, process, and integrate large volumes of structured and unstructured data from diverse public sources. •
Data Integrity and Enrichment:
Implement processes for data cleaning, normalization, and enrichment to ensure the highest standards of accuracy and completeness. •
Relational Modeling:
Analyze and model the complex relationships between different entities within the innovation ecosystem to power our platform's intelligence layer.
Who You Are: • Experience in
life sciences / healthcare / pharma / biotech
. •
Detail-Oriented & Analytical:
You have a keen eye for detail and a methodical approach to problem-solving. You understand that in data, quality and accuracy are paramount. •
A Proactive Learner:
You are intellectually curious, a self-starter, and are not afraid to ask questions. You are passionate about the potential of data and AI to solve meaningful problems. •
A Data Enthusiast:
You are excited by the prospect of working with large, complex datasets and transforming them into structured knowledge. •
Currently pursuing or recently completed Mater or PhD degree
in Computer Science, Data Science, Information Systems, Statistics, Computational Biology, or a related quantitative field.
Advantages: •
Direct working experience in
business intelligence. •
Hands-on experience with agentic AI frameworks or building product-grade AI agents. • Familiarity with databases (e..g., SQL or NoSQL). • Experience with automated web data extraction techniques. • Proficiency in Python and data manipulation libraries (e.g., Pandas, NumPy).
Why Join • Your work is core to the product, not a side project. • Hands-on exposure to ecosystem intelligence and real startup building. • Direct collaboration with the founding team; high ownership and fast learning.