TetraScience
Senior PreSales Solutions Architect(m/w/x)
Full-timeWith HomeofficeSenior
Düsseldorf, Darmstadt
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TETetraScience
Scientific Data Architect(m/w/x)
Darmstadt, Düsseldorf
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing and implementing extensible data models for AI-native scientific data sets in life sciences. PhD with 4+ years or Masters with 8+ years industry experience required. Flexible remote work when not onsite with customers.
Requirements
- PhD with 4+ years or Masters with 8+ years industry experience in life sciences
- Extensive domain knowledge in drug discovery
- Extensive domain knowledge in preclinical development
- Extensive domain knowledge in CMC
- Extensive domain knowledge in product quality testing
- Proven track record defining AI/ML use cases
- Proven track record designing AI/ML use cases
- Proven track record prototyping AI/ML use cases
- Proven track record implementing AI/ML use cases
- Experience with cloud environments for AI/ML
- Collaboration with product managers
- Collaboration with software engineers
- Collaboration with scientific stakeholders
- Extensive exploratory data analysis
- Workflow optimization for scientific outcomes
- Engaging diverse audiences
- Excellent communication abilities
- Excellent storytelling abilities
- Advising scientists in consulting capacity
- Critical team member in Scientific AI industrialization
- Direct customer engagement onsite
- Understanding customer scientific data challenges
- Understanding customer requirements
- Accelerating solutions for customers
- Business proficiency of German (C1 level)
Tasks
- Engage directly with customers onsite
- Build strong customer relationships
- Understand scientific data challenges and requirements
- Accelerate customer solutions
- Design and implement extensible data models
- Design and implement reusable data models
- Capture scientific data efficiently
- Organize scientific data efficiently
- Ensure data model scalability
- Ensure data model future adaptability
- Translate scientific data workflows into solutions
- Leverage the Tetra Data Platform
- Own solution implementation
- Scope solution implementation
- Prototype solution implementation
- Implement data model design (tabular & JSON)
- Develop Python-based parsers
- Integrate lab software via APIs
- Develop data visualizations in Python
- Develop apps in Python
- Collaborate to develop models (ML, AI, statistical, hybrid)
- Collaborate to deploy models (ML, AI, statistical, hybrid)
- Interrogate proprietary instrument output files programmatically
- Iterate with scientific end users
- Iterate with technical stakeholders
- Drive solution development
- Drive solution adoption
- Deliver regular demos to stakeholders
- Attend regular meetings with stakeholders
- Communicate implementation progress proactively
- Deliver demos to customer stakeholders
- Collaborate with the product team
- Understand customer pain points
- Learn new technologies rapidly
- Troubleshoot use cases
Work Experience
- 4 years
Education
- Master's degree
Languages
- German – Business Fluent
Benefits
Flexible Working
- Flexible working arrangements
- Remote work when not at customer sites
More Vacation Days
- Generous paid time off (PTO)
Informal Culture
- Supportive, team-oriented culture
Other Benefits
- Continuous improvement culture
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of TetraScience and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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TETetraScience
Scientific Data Architect(m/w/x)
Darmstadt, Düsseldorf
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing and implementing extensible data models for AI-native scientific data sets in life sciences. PhD with 4+ years or Masters with 8+ years industry experience required. Flexible remote work when not onsite with customers.
Requirements
- PhD with 4+ years or Masters with 8+ years industry experience in life sciences
- Extensive domain knowledge in drug discovery
- Extensive domain knowledge in preclinical development
- Extensive domain knowledge in CMC
- Extensive domain knowledge in product quality testing
- Proven track record defining AI/ML use cases
- Proven track record designing AI/ML use cases
- Proven track record prototyping AI/ML use cases
- Proven track record implementing AI/ML use cases
- Experience with cloud environments for AI/ML
- Collaboration with product managers
- Collaboration with software engineers
- Collaboration with scientific stakeholders
- Extensive exploratory data analysis
- Workflow optimization for scientific outcomes
- Engaging diverse audiences
- Excellent communication abilities
- Excellent storytelling abilities
- Advising scientists in consulting capacity
- Critical team member in Scientific AI industrialization
- Direct customer engagement onsite
- Understanding customer scientific data challenges
- Understanding customer requirements
- Accelerating solutions for customers
- Business proficiency of German (C1 level)
Tasks
- Engage directly with customers onsite
- Build strong customer relationships
- Understand scientific data challenges and requirements
- Accelerate customer solutions
- Design and implement extensible data models
- Design and implement reusable data models
- Capture scientific data efficiently
- Organize scientific data efficiently
- Ensure data model scalability
- Ensure data model future adaptability
- Translate scientific data workflows into solutions
- Leverage the Tetra Data Platform
- Own solution implementation
- Scope solution implementation
- Prototype solution implementation
- Implement data model design (tabular & JSON)
- Develop Python-based parsers
- Integrate lab software via APIs
- Develop data visualizations in Python
- Develop apps in Python
- Collaborate to develop models (ML, AI, statistical, hybrid)
- Collaborate to deploy models (ML, AI, statistical, hybrid)
- Interrogate proprietary instrument output files programmatically
- Iterate with scientific end users
- Iterate with technical stakeholders
- Drive solution development
- Drive solution adoption
- Deliver regular demos to stakeholders
- Attend regular meetings with stakeholders
- Communicate implementation progress proactively
- Deliver demos to customer stakeholders
- Collaborate with the product team
- Understand customer pain points
- Learn new technologies rapidly
- Troubleshoot use cases
Work Experience
- 4 years
Education
- Master's degree
Languages
- German – Business Fluent
Benefits
Flexible Working
- Flexible working arrangements
- Remote work when not at customer sites
More Vacation Days
- Generous paid time off (PTO)
Informal Culture
- Supportive, team-oriented culture
Other Benefits
- Continuous improvement culture
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of TetraScience and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
TetraScience
Industry
Science
Description
TetraScience is the Scientific Data and AI company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets for lab data management solutions and AI-enabled outcomes.
Not a perfect match?
- TetraScience
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