Computational Biology Intern (Biotechnology, Copenhagen)

Job summary

An opportunity is available for an intern or thesis student to engage in a metabolic modeling project within a biotechnology setting. The role involves model reconstruction, curation, and data integration to support metabolic engineering and process optimization. There is flexibility to tailor the project based on the candidate's experience and interests.

Qualifications

• Undergraduate degree in a field combining data science/coding and biology (e.g., computational biology, bioinformatics, bioengineering with a computational focus).
• Currently enrolled in a university program or recently graduated (within the last year).
• Available for full-time work for a minimum of three months in Copenhagen.

Responsibilities

• Work on metabolic modeling projects, focusing on model reconstruction and data analysis.
• Collaborate with engineers and scientists in both dry and wet lab settings.
• Potentially expand the project scope to include omics data integration.

Skills

• Proficiency in coding with R and/or Python.
• Familiarity with metabolic modeling techniques.
• Strong attention to detail and ability to work independently.

Education

• Relevant undergraduate degree in computational biology or related fields.

Tools

• R, Python, and metabolic modeling software.