Data Scientist @ Risklick

We are working directly on behalf of Risklick and do not charge a placement fee.

What This Position Has To Offer

• 🚀 A high-impact technical role building the core AI/architecture behind Protocol AI.
• 💡 Opportunity to shape the future of an end-to-end digital study design and protocol development ecosystem.
• 🧠 Contribute to high-level architectural decisions for optimal performance, speed, and cost efficiency.
• 📈 Join a leading AI software company transforming how clinical trial protocols are designed, written, and managed.
  
  

Apply now and become part of the Risklick team!

On behalf of Risklick, we are searching for their next Data Scientist.

Job Summary

Are you passionate about leveraging cutting-edge AI to revolutionize clinical trial design? Then pay attention! 👀

As a recruiting partner of Risklick, we are looking for you as Data Scientist (m/w/d), 100%, for the location in Bern.📍

In your position, you will be instrumental in developing, optimizing, and maintaining AI/LLM models for Risklick's flagship product, Protocol AI. This role offers the chance to contribute to a leading AI software company that is actively transforming clinical trial protocols, empowering clinical experts to design evidence-based solutions.

Look forward to a high-impact role where your expertise in AI and LLMs will directly contribute to an end-to-end digital study design and protocol development ecosystem. In addition, you will receive the opportunity to shape architectural decisions and engage with enterprise clients.

Have we sparked your interest? Then schedule an initial interview with us now! 📞

#DataScientist #AI #LLM #ClinicalTrials

What You Will Be Doing

• Design, develop, and continuously improve LLM models, prompt pipelines, and retrieval systems that sit at the heart of Protocol AI
• Work with large, complex clinical datasets to build robust, scalable data workflows that handle the messiness of real-world healthcare data
• Evaluate model outputs rigorously against scientific and operational benchmarks, and iterate with the team to push quality further
• Contribute your ideas to architectural decisions alongside the team, with real room to experiment and collectively shape how the system evolves
• Collaborate closely with product and engineering to ship reliable, high-quality features in a team that moves fast and stays curious
• Investigate and resolve technical issues end to end, bringing your perspective while building on the expertise around you
  
  

What You Bring To The Job

• Master’s degree (or higher) in Data Science, Computer Science, or a related technical field.
• First professional experience in LLM engineering, either on job or in relation of a thesis project/internship.
• Proven expertise in LLM engineering, Python, LLMs, embeddings, vector databases, GenAI, and text-heavy AI workloads.
  
  

Nice-to-Haves

• Experience with RAG or LLM-augmented workflows.
• Familiarity with semantic modelling and structured content systems.
• Strong understanding of SaaS architecture and performance optimization.
  
  

Team

• Reports to: Data Science Team Lead
• Colleagues: 2
  
  

Benefits

• Contribution towards learning opportunities
• Opportunity to contribute to the future of an end-to-end digital study design and protocol development ecosystem
  
  

At Risklick, you will join a dynamic and innovative team dedicated to transforming clinical trial protocols through cutting-edge AI. 🤝 Collaboration is key, and you will work closely with product, DevOps, and engineering teams to deliver high-quality solutions. We foster an environment where your contributions directly impact the future of digital health. ✨

Risklick is a leading AI software company based in Bern, specializing in advanced solutions for clinical trial protocol development.

Our flagship product, Protocol AI, leverages artificial intelligence to empower clinical experts to design evidence-based clinical trial protocols, optimize study design, and generate high-quality protocols in a fraction of the time. We are transforming how clinical trial protocols are designed, written, and managed—enabling biopharma companies to develop truly digital, data-driven protocols for the future.