AI Medical Data Traineeship for Master Thesis

Rewire; Amsterdam; Hybrid; EUR 20,000 - 27,000; Full time

Benefits offered by this job

Above-average thesis salary

25 holiday days

Performance bonus potential

Laptop and work essentials

Team events and Friday drinks

Job summary

Rewire invites a highly motivated Master’s student to join the Science Traineeship, a 12-month program in Amsterdam/Gr⟨om⟩ Groningen. You split time between thesis research and real-world AI projects, contributing to medical AI applications while collaborating with leading academics and researchers from UMCG.

The role offers guidance from a Rewire coach and supervisor, a path toward publication, and social interaction through regular team events and Friday activities.

Qualifications

• Pursuing a Master’s degree in a quantitative field (Econometrics, Mathematics, AI, etc.).
• Top-class academic performance and honours are valued.
• Strong focus on personal development and collaboration in a multidisciplinary team.
• Fluent in English; experience with bioinformatics software not required.

Responsibilities

• Work on thesis research for 3 days a week and AI business projects for 2 days.
• Aim to publish research after graduation when possible.
• Apply state-of-the-art AI techniques to medical problems in collaboration with researchers.
• Be part of the Applied Quantitative AI team and participate in team meetings and client interactions.
• Travel to client offices or Groningen as needed while maintaining office flexibility.

Skills

English proficiency

Python

R

Education

Master's degree in Econometrics/Mathematics/AI or quantitative field

Tools

Python

R

Job description

Rewire invites a highly motivated Master’s student to join the Science Traineeship, a 12-month program in Amsterdam/Gr⟨om⟩ Groningen. You split time between thesis research and real-world AI projects, contributing to medical AI applications while collaborating with leading academics and researchers from UMCG.

The role offers guidance from a Rewire coach and supervisor, a path toward publication, and social interaction through regular team events and Friday activities.