Scientific Data Architect / Senior Scientific Data Architect – Germany Remote

Seekup Strategies; München; Remote; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An innovative firm is seeking a Scientific Data Architect to revolutionize scientific data workflows. This role involves designing and implementing scalable solutions that transform complex scientific data into AI-ready assets. You will collaborate with customers and engineers to develop tailored solutions, leveraging your expertise in Python and data visualization tools. With a strong commitment to scientific innovation and data accessibility, this position offers an exciting opportunity to contribute to cutting-edge projects in the life sciences sector. Join a team that values curiosity, collaboration, and continuous learning, and make a significant impact in the field of scientific data management.

Qualifikationen

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

Aufgaben

• Design scalable solutions for scientific data workflows.
• Develop Python-based parsers for scientific data processing.
• Integrate lab software via APIs and visualize data.

Kenntnisse

Python

Data Analysis

Data Engineering

Data Science

Communication Skills

Problem-Solving

Collaboration

Ausbildung

Bachelor's Degree in Computer Science or related field

Experience in Life Sciences

Tools

Jupyter Notebooks

Tableau

PowerBI

Streamlit

Bokeh

Jobbeschreibung

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