Scientific Data Architect

TetraScience

Scientific Data Architect designing reusable data models, Python applications, and AI/ML solutions for TetraScience’s scientific data platform. Engaging Frankfurt-region life sciences customers onsite and remotely.

Posted 9/5/2026full-timeFrankfurt am Main • 🇩🇪 GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI/ML solutions and data models for scientific applications, with a strong focus on collaboration with scientific stakeholders and effective communication of complex data insights. Proficient in Python development for data parsing and visualization, with experience in integrating lab software and utilizing cloud technologies.

Highest-signal resume keywords

PhD In Life SciencesPython-Based Parser DevelopmentData Visualization Using StreamlitLab Software Integration Via APIsBusiness Proficiency In German (C1 Level)

ATS Keywords

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Hard Skills

AI/ML Solution ImplementationData Model DesignExploratory Data AnalysisWorkflow OptimizationStatistical ModelingHybrid ModelingJSON Data StructuresCloud Environment PrototypingData Interrogation TechniquesProductized Use Case Development

Soft Skills

Excellent CommunicationStorytelling AbilitiesCollaboration With StakeholdersConsulting ExperienceCustomer Relationship Building

Tools & Technologies

Tetra Data PlatformStreamlitHoloviewsPlotlyAWS ServicesELNLIMS

Industry Keywords

Drug DiscoveryPreclinical DevelopmentCMCProduct Quality TestingScientific Data Challenges

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Engage directly with customers onsite a couple of days per week in the Frankfurt Region
Build strong customer relationships and understand scientific data challenges and requirements
Design and implement extensible, reusable data models for scientific use cases
Translate scientific data workflows into robust solutions using the Tetra Data Platform
Own, scope, prototype, and implement data and AI/ML solutions
Develop Python-based parsers
Integrate lab software such as ELN/LIMS via APIs
Build data visualizations and applications in Python using Streamlit, holoviews, and Plotly
Collaborate with Scientific Business Analysts, customer scientists, and applied AI engineers to develop and deploy models
Interrogate proprietary instrument output files programmatically
Iterate with scientific end users and technical stakeholders through demos and meetings to drive adoption
Communicate implementation progress and deliver demos to customer stakeholders
Collaborate with the product team to build and prioritize the roadmap based on customer pain points
Learn new technologies, including AWS services and scientific analysis applications, to develop and troubleshoot use cases

Requirements

What you’ll need

PhD with +4 years or Masters with +8 years of industry experience in life sciences
Extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing
Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments
Experience collaborating with product managers, software engineers, and scientific stakeholders
Extensive exploratory data analysis and workflow optimization experience
Excellent communication and storytelling abilities for engaging scientists through executive stakeholders
Consulting experience advising scientists to advance research, development, and quality testing outcomes
Experience designing data models (tabular and JSON)
Python-based parser development skills
Lab software integration via APIs, including ELN/LIMS
Python data visualization and app development experience, including Streamlit, holoviews, and Plotly
Experience collaborating with scientific business analysts, customer scientists, and applied AI engineers
Experience with ML, AI, mechanistic, statistical, and hybrid models
Ability to programmatically interrogate proprietary instrument output files
Business proficiency in German at C1 level
No visa sponsorship is currently provided

Benefits

Comp & perks

Competitive Salary and equity in a fast-growing company
Supportive, team-oriented culture of continuous improvement
Generous paid time off (PTO)
Flexible working arrangements - Remote work when not at Customer Sites