обновлено 6 дней назад
Scientific Data Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Scientific Data Architect (AI): Designing and implementing reusable scientific data models, AI/ML-driven use cases, Python applications, and integrations for biopharma research and development with an accent on drug discovery, laboratory systems, and scientific workflows. Focus on building customer solutions onsite in the Frankfurt region, translating complex data workflows into scalable platform implementations, and collaborating with scientists, engineers, and product stakeholders.
Location: Frankfurt am Main, Darmstadt, or Düsseldorf, Germany. Hybrid role with
Salary: Competitive salary and equity.
Company
builds Tetra OS, a scientific data and AI platform that helps life sciences companies turn fragmented scientific data into AI-ready assets and workflows.
What you will do
- Design and implement extensible, reusable tabular and JSON data models for scientific use cases.
- Translate scientific workflows into solutions built on the Tetra Data Platform.
- Develop Python parsers, data visualizations, and applications using tools such as Streamlit, HoloViews, and Plotly.
- Integrate laboratory software, including ELN and LIMS systems, through APIs and interrogate proprietary instrument output files.
- Collaborate with scientists, scientific business analysts, applied AI engineers, product managers, and software engineers to develop ML, AI, mechanistic, statistical, and hybrid models.
- Engage with customer stakeholders through regular meetings and demos, communicate implementation progress, and help prioritize the product roadmap.
Requirements
- PhD or master's degree with proven industry experience in life sciences.
- Extensive knowledge of drug discovery, preclinical development, CMC across drug modalities, or product quality testing.
- Experience defining, designing, prototyping, and implementing AI/ML-driven use cases in cloud environments.
- Experience with exploratory data analysis, workflow optimization, data modeling, and scientific software or laboratory integrations.
- Strong communication and storytelling skills for working with scientists, business leaders, and executive stakeholders.
- Business proficiency in German at C1 level is required.
Culture & Benefits
- Product-minded, outcome-focused environment centered on scientific AI.
- Supportive, team-oriented culture of continuous improvement.
- Generous paid time off.
- Flexible remote work when not working at customer sites.
- Competitive salary and equity.
- Visa sponsorship is not currently provided.
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