Master’s Student — Analytical Characterization of Biopharma

Novartis AG

Kundl

On-site

EUR 35,000 - 43,000

Part time

5 days ago
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Benefits offered by this job

Market-competitive salary
Company pension
Childcare facilities
Learning and development opportunities
Worldwide career possibilities within

Job summary

Novartis AG in Kundl, Austria, invites a Master student to contribute to Analytical Characterization of biopharmaceuticals. You will assist in planning experiments, analyzing data, and helping to automate workflows in state-of-the-art labs.

This part-time role offers hands-on experience with mass spectrometry, chromatography and biophysical methods, with mentorship and a supportive team, and flexible remote options where possible.

Qualifications

  • Must be enrolled in a Master's program in a relevant field.
  • Solution-oriented mindset and eagerness to learn.
  • Self-driven, team-oriented work style with responsibility.
  • Interest in data science, statistics, automation and basic programming.
  • Proficiency in MS Office for data analysis and documentation.
  • Advanced communication skills in German and English, both written and spoken.

Responsibilities

  • Support Analytical Characterization projects from planning to data interpretation.
  • Document procedures and help optimize analytical methods and workflows.
  • Assist in data analysis and contribute to automated solutions.
  • Collaborate with colleagues and present results to the team.

Skills

Data science
Statistical data analysis
Automation
R
Python

Education

Master's student in Analytical Chemistry / Biochemistry / Bioinformatics / Pharmaceutical Sciences

Tools

MS Office

Job description

Novartis AG in Kundl, Austria, invites a Master student to contribute to Analytical Characterization of biopharmaceuticals. You will assist in planning experiments, analyzing data, and helping to automate workflows in state-of-the-art labs.

This part-time role offers hands-on experience with mass spectrometry, chromatography and biophysical methods, with mentorship and a supportive team, and flexible remote options where possible.

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