Student Worker, Data Science (Biotechnology, Copenhagen)

Job summary

This position is for a student worker in the Discovery Data Science department, focusing on the intersection of AI and cancer immunology. The role involves working approximately 15 hours per week for a minimum of 18 months, allowing for practical application of technical skills in a biotech environment.

Qualifications

• Currently enrolled in a BSc or MSc program in Computer Science, Engineering, Machine Learning, Data Science, or a related field
• Based in Denmark and available for the required hours
• Interest in biological data, particularly proteins and antibodies
• Strong programming skills in Python and familiarity with command-line tools
• Understanding of statistics and machine learning principles
• Experience with version control systems like Git
• Ability to work independently and proactively
• Strong communication skills in English
• Experience with cloud platforms and MLOps tools is a plus

Responsibilities

• Conduct exploratory data analysis and statistical analyses on biological datasets
• Build, train, and evaluate machine learning models for antibody design
• Experiment with methods to enhance model performance
• Develop scalable and reusable code within shared codebases
• Create clear visualizations and presentations of technical results
• Collaborate with scientists to define questions and interpret results
• Take ownership of projects and contribute to team structure over time

Skills

• Strong programming in Python
• Knowledge of statistics and machine learning
• Experience with version control (Git)
• Ability to communicate complex ideas clearly

Education

• Enrollment in a relevant BSc or MSc program

Tools

• Python, Git, cloud platforms (e.g., AWS), MLOps tools (e.g., MLflow), structural biology tools (e.g., PyMOL)