Scientific Data Architect / Senior Scientific Data Architect – Germany Remote

Seekup Strategies; München; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

Seekup Strategies is seeking a Scientific Data Architect to revolutionize scientific data management. This role involves developing data workflows and visualizations while collaborating with clients. Ideal candidates will have extensive Python and industry experience, supporting data accessibility and innovation.

Qualifikationen

• 5+ years of Python experience in scripting, data analysis, or data engineering.
• 3+ years in life sciences, research, or biotech industries.
• Strong understanding of complex technical products.

Aufgaben

• Define and implement solutions for making scientific data accessible.
• Develop data workflows, parsers, and integrate lab software via APIs.
• Create data visualizations using Python and BI tools.

Kenntnisse

Python

Data analysis

Data engineering

Communication

Team collaboration

Jobbeschreibung

Scientific Data Architect / Senior Scientific Data Architect – Germany Remote

Client:

Seekup Strategies

Location:

Germany (Remote, Munich)

Job Category:

Other

EU work permit required:

Yes

Job Reference:

8afd313efb72

Job Views:

2

Posted:

23.06.2025

Expiry Date:

07.08.2025

Job Description:

Who They Are

• Our client is revolutionizing scientific and laboratory data management with AI-native solutions, partnering with major cloud and AI infrastructure providers.
• They focus on transforming raw data into actionable scientific insights, fostering a culture of innovation and continuous learning.

Who You Are

• You thrive in team environments, effectively collaborating with customers and colleagues.
• You have experience designing and deploying distributed systems and data pipelines.
• You are curious, proactive in learning, and comfortable engaging in technical discussions.

What You Will Do

• Help define and implement solutions to make scientific data more accessible and AI-ready.
• Develop data workflows, parsers, and integrate lab software via APIs.
• Create data visualizations using Python and BI tools.
• Work closely with clients to understand their needs, develop solutions, and communicate progress.
• Participate in sprint planning, retrospectives, and provide feedback to product teams.

What You Bring

• 5+ years of Python experience in scripting, data analysis, or data engineering.
• 3+ years in life sciences, research, or biotech industries.
• Strong understanding of complex technical products and excellent communication skills.
• Passion for scientific innovation and data accessibility.
• Willingness to travel within EMEA (up to 20%).

Nice to Have