AI-Driven Scientific Data Architect for Life Sciences (Remote)

TetraScience, Inc.; København; Hybrid; DKK 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Equity

Competitive salary

Job summary

TetraScience, Inc. is seeking a product-minded data/AI leader with deep life sciences experience to drive AI-enabled solutions.

You will collaborate with scientists, product managers and engineers to transform complex data into actionable insights and scalable software across the Tetra Data Platform. You will travel up to 25% to work directly with customers, design extensible data models, prototype parsers, and implement lab integrations.

Qualifications

• PhD with +4 years or Masters with +8 years of life sciences experience.
• Proven AI/ML use case design and implementation in cloud environments.
• Experience collaborating with product managers, engineers and scientists.

Responsibilities

• Engage directly with customers onsite up to 25% travel to understand data challenges.
• Design extensible data models and implement scalable scientific solutions.
• Translate workflows into robust solutions on the Tetra Data Platform.
• Prototype data models, APIs, and Python-based parsers for labs.
• Collaborate with SBAs, scientists and AI engineers to deploy models.
• Iterate with users via demos and regular progress updates.
• Contribute to roadmap prioritization by customer pain points.

Skills

Proven track record of AI/ML use cases

Cross-functional collaboration

Data analysis & workflow optimization

Communication & storytelling

Scientific stakeholder engagement

Education

PhD +4 years or Masters +8 years experience in life sciences

Tools

Python

Streamlit

Plotly

Holoviews

APIs

ELN/LIMS integration

Job description

TetraScience, Inc. is seeking a product-minded data/AI leader with deep life sciences experience to drive AI-enabled solutions.

You will collaborate with scientists, product managers and engineers to transform complex data into actionable insights and scalable software across the Tetra Data Platform. You will travel up to 25% to work directly with customers, design extensible data models, prototype parsers, and implement lab integrations.