# Scientific Data Architect

**Company:** [TetraScience](https://hotfix.jobs/companies/tetrascience)
**Location:** Frankfurt Am Main, Germany
**Role:** Data Engineering
**Experience:** 8+ years
**Skills:** Scientific Data Modeling, Python, Artificial Intelligence, Machine Learning, AWS, Eln/Lims, APIs, Streamlit, Holoviews, Plotly, Exploratory Data Analysis, Data Visualization, JSON, Cloud Computing
**Posted:** 2026-09-04

> Design and implement scientific data models, integrations, parsers, visualizations, and AI/ML-driven solutions for biopharma customers. The role combines customer-facing consulting in the Frankfurt region with product collaboration and requires deep life sciences expertise, German proficiency, and advanced industry experience.

## Job Description

## 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.

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