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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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Student Worker, Discovery Data Science

Genmab
Found 2 weeks ago
Location
Copenhagen, Denmark
Time
Part-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • command-line environment
  • statistics
  • machine learning principles
  • Git
  • AWS
  • Databricks
  • MLflow
  • Weights & Biases
  • PyMOL
  • Rosetta

Soft Skills

  • Strong communication skills
  • ability to collaborate in a multidisciplinary, international environment
  • Able to work independently and proactively
  • structured approach to problem-solving

Job Description

Are you excited about the intersection of AI and cancer immunology, and looking to apply your technical skills in a real-world biotech setting over a longer period of time? We are looking for a student worker (approx. 15 hours per week) to join our ML & AI for Antibody Discovery and Development team within the Discovery Data Science department in Copenhagen. This is a long-term position (minimum 18 months), designed to run alongside your studies and allow you to build depth, ownership, and impact over time. In this role, you will be part of a multidisciplinary, international team of scientists with deep expertise in antibody development and machine learning. Together, you will contribute to the development of next-generation antibody therapeutics by combining experimental data with advanced computational approaches. You will work at the interface of data science, machine learning, and biology, collaborating closely with both dry- and wet-lab researchers. Over time, you will help shape and structure your own work, with the opportunity to take ownership of projects and contribute to scalable solutions within the team. Does this sound like something that interests you? We look forward to your application! Help us get to know you by submitting a CV and motivational letter.

Requirements

  • 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 approximately 15 hours per week for a minimum of 18 months
  • Interest in or exposure to biological data (e.g. proteins, antibodies)
  • Strong programming skills in Python and experience working in a command-line environment
  • Solid understanding of statistics and machine learning principles
  • Experience with version control systems (e.g. Git)
  • Able to work independently and proactively, with a structured approach to problem-solving
  • Strong communication skills and ability to collaborate in a multidisciplinary, international environment
  • Fluent in English (written and spoken)

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Experience with cloud platforms (e.g. AWS, Databricks)
  • Familiarity with MLOps tools (e.g. MLflow, Weights & Biases)
  • Experience with structural biology or molecular modelling tools (e.g. PyMOL, Rosetta)
▶Apply Now

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