Scientific Data Architect

A company is looking for a Scientific Data Architect.

Key Responsibilities

Design and implement extensible, reusable data models for scientific data

Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform

Collaborate with cross-functional teams to develop and deploy models and drive solution development

Required Qualifications

PhD with 7+ years or Masters with 10+ years of industry experience in life sciences

Proven track record of defining and implementing AI / ML-driven use cases in cloud environments

Experience in data model design, Python-based parser development, and lab software integration

Ability to engage with diverse audiences, including scientists and executive stakeholders

Demonstrated history of building extensible data models and applications for Biopharma end users