About us:

At Differential Bio, we are pioneering the future of biotechnology through the power of lab automation and digital modeling. As a digital biology challenger, we focus on optimizing the end-to-end fermentation performance through media and bioprocess improvements, particularly in the realm of probiotics. Our cutting-edge Virtual Scale-up Platform empowers us to revolutionize traditional lab work, enabling more sustainable and economically viable bio-based production in the long run.

Role summary:

We are looking for an exceptional Working Student in Software Engineering to join our team in Munich, Germany (on-site) or remotely. This is not a narrowly defined role, but rather a chance for high-agency, driven individual to dive into our most exciting challenges across AI, software engineering, and lab automation for next-gen biomanufacturing. You will directly report to and collaborate with our CTO (Martin), and support in solving the most pressing issues across a wide range of activities.

Key responsibilities:

• AI & Modeling:
  • Contribute to building and refining AI models for microbial behavior prediction.
  • Support AI/ML ops: data pipelines, model deployment, monitoring, and scaling.
  • Build AI tools to automate knowledge work of scientists (e.g. literature research, experimental planning, data analysis)
• Software Engineering:
  • Work across frontend and backend development of our digital platform.
  • Build interfaces for lab devices and automation workflows.
• Lab Automation:
  • Translate complex experimental workflows into executable code (think highly complex pipetting logic).
  • Design smart automation strategies integrating software, hardware, and robotics.

Qualifications:

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In your application, show us signs of excellence and grit.

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• Enrolled student (Computer Science, Engineering, Bioinformatics, or similar) or equivalent practical background.
• Strong programming skills in Python; bonus points for Bash, JS/TS, or other languages.
• Signs of excellence:
  • Significant side projects or entrepreneurial ventures.
  • Experience in fast-moving startups or founding experience.
  • Deep involvement in competitions, hackathons, open-source contributions, or other self-driven initiatives.
• Traits: high agency, autodidact, comfortable with ambiguity, future entrepreneur mindset.

Our toolstack:

(Experience with some of these is helpful; we don’t expect you to know all.)

• AI/ML: Python, PyTorch, MLFlow
• Infrastructure: Bash, Docker, Linux