
Internship AI-First Workflows for Novel Payloads (Degrader-ADCs & PROxAb Shuttles)(all genders)
Erforderliche Skills
Stellenbeschreibung
Merck Healthcare hat diese Stelle ausgeschrieben. Unten erklären wir, was sie für dich als Werkstudent:in in Darmstadt bedeutet: deine Wochenstunden, dein Netto und deine Visumsgrenzen.
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Beschreibung bereitgestellt von Merck Healthcare
Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.
Your Role
You will contribute to an innovation project team developing novel payload technologies for next-generation antibody-drug conjugates, with a focus on degrader-ADCs (DACs) and PROxAb Shuttle platforms. Your contribution will be on the AI/automation side: you will help us automate recurring scientific and administrative workflows, establish AI-first ways of working within the team, and support the wider organization in adopting AI tools more broadly. This is not a research-modeling role – no advanced machine-learning development or model building is expected. Instead, you will work hands-on with existing AI tools (e.g. LLM-based assistants, automation platforms) to streamline day-to-day work such as literature and IP analysis, documentation, data organization, and reporting. This role is purely dry-lab / office-based – no wet-lab or bench work is required.
In your role you will support our team by identifying manual, repetitive tasks and turning them into AI-assisted or automated workflows, building simple tools and scripts, documenting and rolling out best practices for AI-first working, and acting as a multiplier who helps colleagues across the organization get more value out of AI in their own work.
We offer a 6-month internship, fully based in a dry-lab / office setting (no wet-lab work).
Who You Are
- Advanced Master's student (final-year) in Data Science / Business Informatics / Computer Science / Bioinformatics / Computational Biology or a related field with a genuine interest in AI tools and automation and proven track-record in biology / biochemistry / drug discovery (e.g. internships). PhD candidates are not eligible for this internship.
- Comfortable using and combining modern AI/LLM tools and basic scripting (e.g. Python) to automate everyday tasks; no advanced machine-learning or modeling expertise required
- Curious and pragmatic mindset, enjoys figuring out how to make existing workflows faster and simpler rather than building things from scratch
- Independent and thorough working mode, confidence in structuring and presenting concepts to colleagues, incl. non-technical audiences
- German and English at C2 level (near-native proficiency) required
Apply with: CV and cover letter (both required). Please include your availability.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
Wichtiges für Werkstudierende
Was dieses Praktikum im Bereich Tech in Darmstadt für dich bedeutet: die Vergütungsregeln, die Sozialabgaben und worauf internationale Studierende achten sollten.
Wochenstunden
Praktika haben keine 20-Stunden-Grenze, ein freiwilliges Praktikum über drei Monate muss aber in der Regel mindestens den Mindestlohn zahlen. Pflichtpraktika im Studium sind davon ausgenommen.
Werkstudenten-RegelnSozialabgaben
Pflichtpraktika sind weitgehend von Sozialabgaben befreit. Freiwillige Praktika gelten ab einer gewissen Dauer als reguläre Beschäftigung, dann fallen meist Beiträge an.
Versicherung prüfenInternationale Studierende
Studierende von außerhalb der EU dürfen 140 volle oder 280 halbe Tage im Jahr arbeiten (seit März 2024, zuvor 120/240). Ein Werkstudentenvertrag passt meist in diesen Rahmen — prüfe die genauen Grenzen auf deinem Aufenthaltstitel.
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