Data Scientist – Applied Mathematics & Clinical Analytics

Role Overview

Join iLOF as a Data Scientist to turn challenging scientific questions into implemented analyses, reproducible workflows, and useful results. You will take ownership of analytical deliverables, investigate unresolved problems, and help move projects from exploration to completion.

What You Will Do

Translate clinical and preclinical project questions into clear analytical tasks, apply strong mathematical expertise, prepare and analyze experimental and clinical datasets, and implement and evaluate statistical and machine learning methods.

Why It Might Be a Fit

You will work closely with other Data Scientists and scientific colleagues, translating project needs into concrete analytical solutions and communicating what the results mean. You will take ownership of unresolved analytical problems, diagnose their causes, and develop practical solutions.

Requirements

• Degree in Mathematics, Applied Mathematics, Statistics or a related quantitative discipline
• Professional experience delivering Data Science or quantitative analysis projects from problem definition through implementation
• Strong scientific programming skills and the ability to write clear, maintainable analytical code
• Practical knowledge of statistics, machine learning, data preparation, and model evaluation
• Ability to investigate unfamiliar datasets, troubleshoot analytical workflows, and assess whether results are credible
• Experience managing your own deliverables and communicating progress, dependencies, and findings

Benefits

• An exciting future with a deep-tech company
• A high-paced, flexible environment with adaptable working hours and strong remote work culture
• A stimulating atmosphere with room for creativity
• Weekly happy hours with amazing food and drinks
• Free coffee and snacks
• The opportunity to work with a world-class, talented team and potentially change healthcare as we know it