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Software Engineer, Working Student

Software Engineer, Working Student

Software Engineer, Working Student

Software Engineer, Working Student

Technische Universität München

Fach- und Hochschulen

München

  • Art der Anstellung: Studierende
  • Remote
  • Zu den Ersten gehören

Software Engineer, Working Student

Über diesen Job

13.10.2025, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

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:

Differential Bio is 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:

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

  • 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
  • Web: TypeScript, React, shadcn

Nice to have:

  • Experience with lab automation or robotics.
  • Experience with ML pipelines, cloud infra, or full-stack web development.
  • A public track record (GitHub, portfolio, open-source contributions).

What we offer:

  • Opportunity to design your own path and take ownership of impactful projects.
  • Exposure to an interdisciplinary team spanning biology, robotics, AI, and entrepreneurship.
  • Direct mentorship and collaboration with the CTO and founding team.
  • A startup culture that values initiative, experimentation, and quick iteration; fail fast, learn faster.
  • A place where your unique mix of skills and drive can shape not just projects, but the company itself.

Benefits:

  • Get on board early: Become an early part of a visionary team that is leveraging the power of digital biology to unlock the $4tn bioeconomy;
  • Competitive compensation through salary; we are looking to build a small but mighty team and think about compensation along those lines;
  • Leadership opportunity: Work closely with visionary founders and grow into a leadership role with significant responsibility;
  • A beautiful office in the heart of Munich

Kontakt: martin@differential.bio

Unternehmens-Details

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Technische Universität München

Fach- und Hochschulen

5.001-10.000 Mitarbeitende

München, Deutschland

Bewertung von Mitarbeitenden

Vorteile für Mitarbeitende

Flexible Arbeitszeiten
Home-Office
Kantine
Restaurant-Tickets
Kinderbetreuung
Betriebliche Altersvorsorge
Barrierefreiheit
Gesundheitsmaßnahmen
Betriebsarzt
Training
Parkplatz
Günstige Anbindung
Vorteile für Mitarbeitende
Smartphone
Gewinnbeteiligung
Veranstaltungen
Privat das Internet nutzen
Hunde willkommen

Unternehmenskultur

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