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 is designed for approximately 15 hours per week over a minimum of 18 months, allowing for practical experience in a biotech setting while pursuing academic studies.

Qualifications

• 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 environments.
• 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

• Perform exploratory data analysis and statistical analyses on biological datasets.
• Build, train, and evaluate machine learning models for antibody design and discovery.
• Experiment with methods and datasets to enhance model performance.
• Develop scalable and reusable code within shared codebases.
• Create clear visualizations and presentations of complex technical results.
• Collaborate with multidisciplinary scientists to define questions and interpret results.
• Gradually take ownership of projects and contribute to the team's ongoing work.

Skills

• Proficiency in Python programming.
• Knowledge of statistics and machine learning.
• Experience with version control (e.g., Git).
• Ability to communicate effectively in a team environment.

Education

• Currently pursuing a degree in a relevant field (BSc or MSc).

Tools

• Familiarity with cloud platforms (e.g., AWS, Databricks) and MLOps tools (e.g., MLflow, Weights & Biases) is advantageous. Experience with structural biology tools (e.g., PyMOL, Rosetta) is also a plus.