Data Scientist (fmd)

aevoloop; Leipzig; Vor Ort; EUR 45.000 - 60.000; Vollzeit

Zusammenfassung

A cutting-edge deep-tech startup in Leipzig seeks a data specialist to drive innovations in next-generation plastics. You will establish data warehousing and manage electronic lab notebooks, develop applications for processing lab data, and create visual dashboards. The ideal candidate should possess a degree in a relevant field and have at least two years of experience in data generation and processing within a scientific context. Join a dynamic team focused on sustainable material innovation and circular economy.

Leistungen

Hansefit membership

Fresh fruit for health and well-being

Qualifikationen

• 2+ years of job experience in data generation and processing within a chemical, biological or physical context.
• Strong troubleshooting skills and passion for experimental process optimisation.
• Ability to work independently and in interdisciplinary collaboration.

Aufgaben

• Establish data warehousing within the R&D department.
• Manage an electronic lab notebook system for data structuring.
• Develop customized apps for processing raw lab data.
• Generate data visualization and comparison dashboards.
• Implement AI and ML tools to enhance R&D efficiency.

Kenntnisse

Laboratory Experience

Machine Learning

Data Analysis Skills

Biochemistry

Research Experience

Spectroscopy

cGMP

Cell Culture

Molecular Biology

Ausbildung

Degree in Computer Science, Software Engineering, Data Science or related field

Jobbeschreibung

Join aevoloop – one of Europe’s fast‑scaling deep‑tech startups – and help accelerate the development of pioneering next‑generation plastics through data‑driven R&D enablement.

Your mission

• Establish data warehousing within the R&D department to maximize data efficiency and automate data collection & generation.
• Roll out and manage an electronic lab notebook system to structurize and collect experimental data for evaluation and comparison.
• Develop customized apps for facilitating processing of raw data from lab instruments and devices.
• Generate data visualization and comparison dashboards that allow easy comparison of lab data.
• Design and implement concepts for employing modern AI and ML tools to increase speed and output of the whole R&D team.

Your profile

• You have successfully completed studies in Computer Science, Software Engineering, Data Science or a related field, preferably with a degree.
• You have at least 2 years of job experience in data generation and processing within a chemical, biological or physical context.
• You work independently and enjoy interdisciplinary collaboration.
• You are capable of troubleshooting technical challenges by yourself.
• You demonstrate strong troubleshooting skills and a passion for experimental process optimisation.
• You bring a hands‑on mindset, structure your work efficiently, and collaborate seamlessly across disciplines even under the dynamics of a fast‑paced start‑up environment.

Why us

• Real Impact: Help redesign plastics for a truly circular economy.
• Startup Mindset: Flat hierarchies, fast decisions and early responsibility as we scale.
• Team Culture: Join a team of curious minds that challenge each other, collaborate openly and celebrate progress together.
• Growth & Learning: Steep learning curves, regular feedback and room to grow with the company.
• Well‑being Perks: Hansefit membership and fresh fruit boost your overall health and well‑being.

Contact

Ready to become an aevoloopy? Apply directly or reach out if you have any questions about the role or working at aevoloop.

About us

We are aevoloop – a fast‑scaling deep‑tech startup pioneering next‑generation plastics for a circular economy. We re‑engineer polymers from the ground up to combine high performance with true circularity and biodegradability – turning plastic waste into valuable new materials. Guided by our values Pioneering, Conscientious, Disruptive, Transparent, Contributive, we unite science with entrepreneurial execution to drive sustainable material innovation at scale.

Key Skills: Laboratory Experience, Immunoassays, Machine Learning, Biochemistry, Assays, Research Experience, Spectroscopy, R&D, cGMP, Cell Culture, Molecular Biology, Data Analysis Skills.

Employment Type: Full‑Time
Experience: 2+ years
Vacancy: 1