
Risklick develops Protocol AI TM, an end-to-end AI-driven software solution that enables experts to rapidly design and develop high-quality clinical trial protocols and study plans. The platform…

Risklick develops Protocol AI TM, an end-to-end AI-driven software solution that enables experts to rapidly design and develop high-quality clinical trial protocols and study plans. The platform…
Headquarters: Bern, Switzerland
Flagship product: Protocol AI — AI-driven clinical trial protocol design platform
Database size: Over 800,000 clinical trials
Founded: 2019
Funding: Seed round led by Debiopharm Innovation Fund (Apr 23, 2024)
Clinical trial protocol design and study planning for pharmaceutical and medical device companies
2019
Biotechnology Research
“Debiopharm Innovation Fund is a lead/sole investor in disclosed Seed round”
About Risklick
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.
We are now seeking a passionate and highly skilled Data Scientist to join our team. In this role, you will play a key part in shaping and enhancing our AI-powered Protocol AI platform, helping us redefine protocol development and advance the next generation of clinical trial design.
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Develop, optimize, and maintain AI/LLM models, prompts, pipelines, and vector-based search
Evaluate models, improve accuracy, and ensure outputs meet scientific and operational expectations
Contribute to high-level architectural decisions and ensure optimal performance, speed, and cost efficiency across AI and backend systems
Collaborate closely with product, DevOps and engineering teams to deliver features with enterprise quality
Participate in technical incident analysis and support root-cause investigations when needed
Engage in technical discussions with enterprise clients
Qualifications
2 years of experience in LLM engineering or equivalent academic background
Master’s degree (or higher) in Data Science, Computer Science, or a related technical field.
Proficient coding skills in Python
Strong experience with LLMs, embeddings, vector databases, GenAI, and text-heavy AI workloads
Bonus Skills
Experience with RAG or LLM-augmented workflows
Familiarity with semantic modelling and structured content systems
Strong understanding of SaaS architecture and performance optimization
What We Offer
A high-impact technical role building the core AI/architecture behind Protocol AI
Opportunity to contribute to the future of an end-to-end digital study design and protocol development ecosystem