Computational Scientist Intern

About ARTIDIS

ARTIDIS AG is a clinical-stage health-tech start-up founded in Basel, Switzerland, that has developed the first nanomechanical biomarker for cancer diagnosis and treatment optimization. The ARTIDIS nanotechnology platform integrates different types of clinical data into the ARTIDISNET digital platform, allowing physicians to significantly shorten the current diagnostic process and benefit both the patient and the healthcare system. ARTIDIS enables professionals to design personalized cancer treatment plans tailored to individual patients' needs and desired outcomes.

Your Role

As a Computational Scientist Intern, you will work with ARTIDIS’ data science and R&D teams to analyze, model, and visualize biomedical and clinical datasets. This role offers a unique opportunity to gain hands-on experience in applied computational science, combining data analytics, machine learning, and biomedical research to support the development of ARTIDIS’ platform.

Key Responsibilities

• Process, analyze, and visualize high-dimensional biomedical datasets
• Support the development and optimization of computational models and algorithms
• Collaborate with engineers, scientists, and clinicians to translate data insights into actionable outcomes
• Assist with data integration from multiple sources, including clinical, imaging, and nanomechanical data
• Contribute to the creation of data pipelines and automated workflows
• Support the preparation of reports, presentations, and visualizations for internal and external stakeholders
  
  

Your Profile

• Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computational Science, Data Science, Computer Science, Biomedical Engineering, Physics, or a related field
• Solid programming skills in Python, R, or MATLAB
• Familiarity with data analysis, statistical modeling, or machine learning techniques
• Interest in working with biomedical data and applying computational approaches to healthcare challenges
• Strong analytical skills and attention to detail
• Team-oriented, proactive, and eager to learn in a multidisciplinary environment
  
  

What We Offer

• Hands-on experience working with real-world biomedical and clinical datasets
• Exposure to cutting-edge data science in the healthcare and medtech space
• Opportunity to collaborate with scientists, engineers, and clinicians on impactful projects
• A dynamic, innovative, and supportive start-up environment