Scientific Data Architect: AI-Driven Biopharma, Remote

TetraScience, Inc.; Wien; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Competitive salary and equity

Flexible remote work

Generous PTO

Zusammenfassung

TetraScience, Inc. seeks a product-minded data science software leader to industrialize Scientific AI. You will design extensible data models, collaborate with scientists, product managers, and engineers, and translate complex workflows into scalable solutions on the Tetra Data Platform.

You will prototype, demo, and build end-to-end applications that empower end users to extract value from data. This role requires travel up to 25% to customer sites, flexibility to work remotely when not onsite,

Qualifikationen

• PhD with extensive life sciences data and AI/ML experience.
• Proven track record delivering AI/ML use cases in cloud environments.
• Ability to collaborate with scientists, product managers and engineers.

Aufgaben

• Engage with customers onsite up to 25% travel to understand data challenges.
• Design extensible data models capturing scientific data.
• Translate workflows into solutions on the Tetra Data Platform.
• Prototype, implement data models, parsers, and integrations.
• Iterate with end users and stakeholders via demos and meetings.
• Deliver progress demos to customer stakeholders.
• Collaborate with product team to prioritize roadmap.

Kenntnisse

AI/ML product development

Cloud environments

Cross-functional collaboration

Data analysis

Ausbildung

PhD +4 years life sciences industry

Masters +8 years life sciences industry

Tools

Python

Streamlit

Plotly

Holoviews

ELN/LIMS APIs

Jobbeschreibung

TetraScience, Inc. seeks a product-minded data science software leader to industrialize Scientific AI. You will design extensible data models, collaborate with scientists, product managers, and engineers, and translate complex workflows into scalable solutions on the Tetra Data Platform.

You will prototype, demo, and build end-to-end applications that empower end users to extract value from data. This role requires travel up to 25% to customer sites, flexibility to work remotely when not onsite,