Scientific Data Architect / Senior Scientific Data Architect – Germany Remote

TN Germany; München; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading company in AI and data-driven research seeks a Scientific Data Architect to revolutionize scientific data management. The role involves designing scalable solutions and collaborating with customers to enhance data accessibility. Ideal candidates have extensive experience in Python and a passion for scientific innovation.

Qualifikationen

• 5+ years of experience with Python for scripting, automation, data analysis.
• 3+ years in life sciences or bioinformatics.
• Strong communication skills and attention to detail.

Aufgaben

• Design and implement solutions for scientific data workflows.
• Develop Python-based parsers and integrate lab software via APIs.
• Lead sprint planning and facilitate project retrospectives.

Kenntnisse

Collaboration

Data Analysis

Problem Solving

Communication

Curiosity

Tools

Python

Tableau

PowerBI

Jupyter Notebooks

Jobbeschreibung

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Scientific Data Architect / Senior Scientific Data Architect – Germany Remote, Munich

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Client:

Seekup Strategies

Location:

Job Category:

Customer Service

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EU work permit required:

Yes

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Job Reference:

8afd313efb72

Job Views:

1

Posted:

11.05.2025

Expiry Date:

25.06.2025

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Job Description:

Scientific Data Architect / Senior Scientific Data Architect – Germany Remote

Who They Are

• Our client is revolutionizing the way scientific and laboratory data is structured, processed, and leveraged. As a leader in the rapidly growing AI and data-driven research sector, they are designing and industrializing AI-native scientific data solutions that power the next generation of laboratory data management, advanced analytics, and automation.
• With a strong foothold in the market, they have established deep partnerships with major players in cloud computing, AI infrastructure, and data science, making their platform the gold standard for transforming raw data into actionable scientific intelligence.
• Their leadership team is committed to a culture of innovation, accountability, and continuous learning. As part of the hiring process, candidates will be asked to review the company's core guiding principles, authored by their founder and CEO. This document serves as a reflection of their approach to company building, and those who join will be expected to embody these principles daily.

Who You Are

• You are a highly collaborative individual who thrives in team-oriented environments. Your ability to work effectively with customers, field engineers, and executives allows you to drive solutions that are impactful and scalable.
• You have a passion for designing, implementing, and optimizing distributed systems. Your experience enables you to understand the complexities of deploying large-scale solutions, and you embrace the challenges that come with integrating and operationalizing data pipelines in production.
• Your curiosity drives you to seek deeper understanding, and you approach each interaction as a learning opportunity. You are comfortable asking questions and engaging in meaningful discussions, knowing that growth comes from challenging the status quo.

What You Will Do

• In this role, you will help define and implement solutions that transform scientific data workflows into structured, AI-ready assets. Your work will contribute to the broader mission of making scientific data more accessible, interoperable, and actionable.

Key responsibilities include:

• Data Workflow Design: Translate scientific data workflows into practical, scalable solutions leveraging the company's advanced data platform.
• Solution Development: Design and implement various solutions, including:
• Programmatic interrogation of proprietary instrument output files
• Python-based parser development for scientific data processing
• Integration of lab software (e.g., ELN/LIMS) via APIs
• Data visualization using Python (Jupyter Notebooks, Streamlit, hvPlot, Bokeh) and/or BI tools (Tableau, Spotfire, PowerBI)
• Work closely with customers to understand scientific and business requirements
• Develop and test solutions to ensure they meet customer needs
• Communicate project progress and deliver demos to key stakeholders
• Address real-time customer feedback by synthesizing input and proposing refinements
• Lead sprint planning and prioritization for specific accounts or use cases
• Facilitate internal project retrospectives to identify areas for optimization and productization
• Provide feedback to the product team on customer pain points to help shape future roadmap priorities

What You Bring

• 5+ years of hands-on experience with Python for scripting, automation, data analysis, data engineering, and/or data science.
• 3+ years of experience in life sciences, whether in a research setting, bioinformatics, or within a technology provider serving the industry.
• Ability to quickly understand complex technical products and communicate effectively with engineering and product teams.
• Strong passion for scientific innovation and data accessibility.
• A relentless curiosity and a drive to learn and adapt continuously.
• Resilience in overcoming setbacks and a problem-solving mindset.
• Strong communication skills and attention to detail, with the ability to drive project success proactively.
• A collaborative spirit with a willingness to roll up your sleeves and contribute to the team's overall success.
• Ability to travel within the EMEA region (up to 20%) for customer engagements.

Nice to Have