Scientific Data Architect – AI-Driven Biopharma (Remote)

TetraScience, Inc.; Cambridge; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Equity in a fast-growing company

Generous PTO

Job summary

TetraScience, Inc. is seeking a product-minded, outcome-obsessed professional to drive technical scientific solutions in Cambridge.

You will design data models, prototype AI/ML-driven use cases, and collaborate with scientists, product managers, and engineers to accelerate delivery of customer-focused outcomes. You will travel up to 25% to customer sites, build strong relationships, and translate complex data workflows into scalable solutions within the Tetra Data Platform.

Qualifications

• PhD with +4 years or Masters with +8 years of industry experience in life sciences.
• Proven track record of defining, prototyping, and implementing AI/ML-driven use cases in cloud environments.
• Collaborated with cross-functional teams including product managers, software engineers, and scientists.

Responsibilities

• Design extensible, reusable data models for scientific data.
• Prototype and implement AI/ML use cases for scientific workflows.
• Collaborate with scientists, product managers and engineers to deliver usable solutions.
• Travel up to 25% to engage with customers onsite and gather requirements.
• Demonstrate progress to stakeholders through regular demos.

Skills

Product management

AI/ML knowledge

Cross-functional collaboration

Data modeling

Storytelling & communication

Education

PhD in Life Sciences

Masters in Life Sciences

Tools

Python

Streamlit

Plotly

ELN/LIMS APIs

Job description

TetraScience, Inc. is seeking a product-minded, outcome-obsessed professional to drive technical scientific solutions in Cambridge.

You will design data models, prototype AI/ML-driven use cases, and collaborate with scientists, product managers, and engineers to accelerate delivery of customer-focused outcomes. You will travel up to 25% to customer sites, build strong relationships, and translate complex data workflows into scalable solutions within the Tetra Data Platform.