Remote Scientific Data Architect for AI-Driven Biopharma

TetraScience, Inc.; Cambridge; Hybrid; GBP 120,000 - 160,000; Full time

Benefits offered by this job

Travel opportunities (up to 25%)

Job summary

TetraScience in Cambridge is seeking a product-minded, data-driven professional to industrialize Scientific AI. You will design extensible data models, translate scientific data workflows into robust Tetra Data Platform solutions, and travel up to 25% to work with customers onsite.

You will prototype Python-based parsers, integrate ELN/LIMS, build visualizations with Streamlit and Plotly, and partner with SBAs, customer scientists and applied AI engineers to deploy models.

Qualifications

• PhD with 4+ years or Masters with 8+ years in life sciences.
• Proven track record of defining and implementing AI/ML-driven use cases in cloud environments.
• Experience collaborating with product managers, software engineers, and scientists.
• Experience in exploratory data analysis and workflow optimization.
• Excellent communication and storytelling with diverse audiences.
• Advising scientists to advance R&D and quality testing outcomes.

Responsibilities

• Collaborate with customers onsite up to 25% travel to understand data challenges.
• Design extensible data models to capture scientific data for use cases.
• Translate workflows into robust solutions on the Tetra Data Platform.
• Prototype and implement data models, Python parsers, and lab software integrations.
• Develop data visualization and apps using Python (Streamlit, Plotly).
• Demonstrate solutions through regular demos and stakeholder meetings.
• Help shape product roadmap by understanding customer pain points.

Skills

AI/ML

Cloud environments

Cross-functional collaboration

Data analysis

Scientific domain knowledge

Technical storytelling

Education

PhD in life sciences

Master's in life sciences

Tools

Python

Streamlit

Plotly

Holoviews

ELN/LIMS integration

APIs

Job description

TetraScience in Cambridge is seeking a product-minded, data-driven professional to industrialize Scientific AI. You will design extensible data models, translate scientific data workflows into robust Tetra Data Platform solutions, and travel up to 25% to work with customers onsite.

You will prototype Python-based parsers, integrate ELN/LIMS, build visualizations with Streamlit and Plotly, and partner with SBAs, customer scientists and applied AI engineers to deploy models.