Master Thesis Project Streamlining Fermentation Data Management and Insights Generation

København - Denmark

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

If youre the kind of person who sees messy spreadsheets full of raw data and thinks

Theres a better way to do this then this project might be for you!

Background

Every week thousands of data points are generated across small-scale screenings and bioreactor fermentations.
But too often this valuable data lives in silos scattered across Excel sheets systems and ELNs making it difficult to compare learn and optimize across scales.

The goal of this project is to design and implement a streamlined data management framework that transforms unstructured fermentation data into actionable insights.

Youll be at the intersection of bioprocess engineering data science and digital innovation shaping how fermentation data is captured structured visualized and correlates to small scale screening.

Project Objectives

By the end of this project you will:

Map the data landscape: Identify all sources of data (small-scale bioreactor analytical) and understand how data flows between systems.

Design a unified data structure: Create a standardized data system linking small-scale screening with bioreactor results.

Build an automated data pipeline: Using Python Power Automate or other automate data transfer and cleaning to reduce manual work.

Develop correlation and insight dashboards: Visualize patterns between scales (e.g. small-scale vs. bioreactor titer yield and growth rate correlations).

Propose an implementation roadmap: Deliver a strategy on how to scale the solution across future projects and teams.

Who Were Looking For

Curious by nature: you ask why until things make sense.
Learns at lightning speed: you dont wait to be told; you dive in test and adapt.
Creative problem solver: when data gets messy you see patterns where others see chaos.
Positive energy: you bring good vibes initiative and the kind of attitude that makes everyone better around you.

If that sounds like thrive here.
Because this isnt a project where you just follow instructions.
Its a chance to build something that changes how fermentation data is handled forever.

Ideal profile:

Masters student in Bioinformatics Data Science or Biotechnology.

Experience (or interest) in fermentation and microbial processes.

Comfortable with Python statistical tools (or excited to learn).

Thrives in cross-functional collaboration.

If that sounds like you dont wait.

Send your CV and a short motivation on why you want to build this.

Questions about the project Contact Periklis Sotiris -

If youre the kind of person who sees messy spreadsheets full of raw data and thinksTheres a better way to do this then this project might be for you!BackgroundEvery week thousands of data points are generated across small-scale screenings and bioreactor fermentations.But too often this valuable data...