Scientific Data Architect

Jobtailor; Frankfurt; Hybrid; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Jobtailor in Frankfurt seeks a senior data/AI specialist to design and deliver AI/ML-driven data solutions for life sciences. You will prototype data models, build parsers in Python, and integrate ELN/LIMS via APIs while collaborating with scientists and engineers.

Role emphasizes customer engagement, demos, and driving adoption of cloud-based workflows on the Tetra Data Platform, with German-language fluency and a strong analytical background.

Qualifikationen

• PhD in life sciences with 4+ years or Masters with 8+ years industry experience.
• Deep domain knowledge in drug discovery, preclinical development, CMC or product quality testing.
• Proven track record of productized AI/ML 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 and executives.
• German language proficiency at C1 level; visa sponsorship not provided.

Aufgaben

• 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 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 and integrate lab software via APIs (ELN/LIMS).
• Build data visualizations and apps in Python using Streamlit, Plotly, and Holoviews.

Kenntnisse

AI/ML Solutions

Data Modeling

Exploratory Data Analysis

Workflow Optimization

Python

Data Visualization

German (C1)

Cloud Prototyping

Ausbildung

PhD in Life Sciences

Masters in Life Sciences

Tools

Tetra Data Platform

Streamlit

Holoviews

Plotly

AWS Services

ELN

LIMS

Jobbeschreibung

• 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

• 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

Core Competencies

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 Sciences
• Python-Based Parser Development
• Data Visualization Using Streamlit
• Lab Software Integration Via APIs
• Business Proficiency In German (C1 Level)

Hard Skills

• AI/ML Solution Implementation
• Data Model Design
• Exploratory Data Analysis
• Workflow Optimization
• Statistical Modeling
• Hybrid Modeling
• JSON Data Structures
• Cloud Environment Prototyping
• Data Interrogation Techniques
• Productized Use Case Development

Soft Skills

• Excellent Communication
• Storytelling Abilities
• Collaboration With Stakeholders
• Consulting Experience
• Customer Relationship Building

Industry Keywords

• Drug Discovery
• Preclinical Development
• CMC
• Product Quality Testing
• Scientific Data Challenges

Tools & Technologies

• Tetra Data Platform
• Streamlit
• Holoviews
• Plotly
• AWS Services
• ELN
• LIMS