Scientific Data Architect

Responsibilities

• Engage directly with customers onsite a couple of days per week in the Frankfurt region to understand scientific data challenges and accelerate solutions.
• Design and implement extensible, reusable data models for scientific use cases.
• Translate scientific data workflows into robust solutions using the Tetra Data Platform.
• Scope, prototype, and implement data models, Python parsers, laboratory software integrations, data visualizations, and applications.
• Integrate ELN/LIMS software through APIs and programmatically interrogate proprietary instrument output files.
• Develop and deploy ML, AI, mechanistic, statistical, and hybrid models with scientific business analysts, customer scientists, and applied AI engineers.
• Iterate with scientific end users and technical stakeholders through demos and meetings to drive solution adoption.
• Communicate implementation progress and deliver demos to customer stakeholders.
• Collaborate with the product team to understand customer pain points and prioritize the roadmap.
• Learn new technologies, including AWS services and scientific analysis applications, to develop and troubleshoot use cases.

Requirements

• PhD with more than 4 years of industry experience, or master's degree with more than 8 years of industry experience, in life sciences.
• Extensive domain knowledge in drug discovery, preclinical development, CMC across drug modalities, or product quality testing.
• Experience defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments.
• Experience collaborating with product managers, software engineers, and scientific stakeholders.
• Experience with exploratory data analysis and workflow optimization for scientific outcomes.
• Experience communicating with scientists and executive stakeholders through strong storytelling and communication skills.
• Experience advising scientists in a consulting capacity.
• Business proficiency in German at C1 level.
• Ability to work onsite with customers in the Frankfurt region several days per week.

Benefits and Compensation

• Competitive salary and equity.
• Generous paid time off.
• Flexible working arrangements, including remote work when not at customer sites.
• Visa sponsorship is not currently provided.