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# Bioprocess Data Science working student gesucht in Hamburg

- **Company:** Microharvest_
- **Location:** Hamburg, Germany
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Python (Programming Language), Machine Learning, NumPy, SQL Databases, Pandas, Scikit Learn, Information Technology
- **Published:** August 22, 2026
- **Apply:** https://www.lokale-kleinanzeigen.de/stellenanzeige/bioprocess+data+science+working+student_l16607590.html

## About the Role

* Currently pursuing a Bachelor's or Master's degree in a quantitative or scientific field - Data Science, Statistics, Mathematics, Computer Science, Bioprocess or Chemical Engineering, Analytical Chemistry, Physics, or related - with a genuine passion for working with data and knowing the potential value of it.
 * Solid working knowledge of Python (pandas, NumPy) and SQL; hands-on experience with scikit-learn or comparable ML libraries is preferred but not mandatory.
 * Strong analytical, mathematical, and logical thinking - comfortable working through equations, designing algorithms, and breaking problems down into solvable steps, with the creativity to find non-obvious approaches.
 * Curiosity about the physical process behind the numbers - you want to know what a model or a chart implies for a real bioreactor run.
 * Excellent communication skills and ability to work collaboratively in a team
 * Time management and organizational skills
 * Ownership and accountability mindset
 * You are passionate about sustainability and improving our food system
 * You are fluent in English (spoken and written)

## Description

* Support the I&D team in collecting, structuring, and analyzing data from upstream and downstream processing activities.
 * Spend hands-on time with laboratory-scale bioreactors, shake flask cultivations and microtiter plates, so you understand how your data is generated and what it means physically.
 * Build reproducible pipelines in Python and SQL to clean, join, and analyze data from colorimetric, HPLC, and enzymatic methods as well as from the bioprocessing PLC.
 * Perform statistical analysis, visualization, and reporting of experimental and process results, including dashboards and KPIs the team uses day to day in order to build up general process knowledge.
 * Prototype and evaluate machine learning or statistical models.
 * Follow the SOPs in place and suggest continuous improvements to data capture, documentation, and analysis workflows.


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