Biology Opportunity at Merck, Germany | Part-Time Working Student Role

How can laboratory experiments generate data for machine learning models in drug research? This biology Opportunity at Merck in Darmstadt, Germany, which is a Merck working student role, connects practical laboratory work with data-driven approaches to drug metabolism. The part-time Working Student role is suited to eligible students with molecular biology, biochemical assay, and LC-MS/MS experience. The matching vacancy is listed under Merck Healthcare. LinkedIn Jobs

  • Position: Working Student (all genders)
  • Location: Darmstadt, Hessen, Germany
  • Job ID: 305190
  • Employment Type: Part-time
  • Department: NCE DMPK

About The Company

Merck operates across Healthcare, Life Science, and Electronics. Its Healthcare business develops medicines, devices, and technologies in therapeutic areas including Oncology, Neurology, and Fertility.

Merck Working Student Role Description

The selected student will join the NCE DMPK department to support new approaches in drug metabolism research. The project focuses on producing laboratory data to feed active machine learning models.

The Merck working student role offers experience with advanced analytical instrumentation and methods within an industrial pharmaceutical research and development environment.

Key Responsibilities of the Merck Working Student

  • Support laboratory work that generates data for active machine learning models.
  • Contribute to research exploring new approaches in drug metabolism.
  • Work with analytical instrumentation and methods relevant to the project.

Educational Requirements and Eligibility

  • Be an engineering student or a master’s student in Biochemistry, Molecular Biology, or as specified in the posting.
  • Have hands-on experience with molecular biology methods and biochemical in vitro assays.
  • Have experience with LC-MS/MS.
  • Demonstrate knowledge of and strong interest in drug metabolism and the disposition of xenobiotics.
  • Have C1-level fluency in both German and English.

Skills and Qualifications

  • Practical molecular biology and biochemical laboratory skills.
  • Experience using LC-MS/MS analytical methods.
  • Interest in how laboratory data supports machine learning applications.
  • Ability to communicate effectively in German and English.

Development Opportunities

The posting highlights an inclusive working culture, personal development, and opportunities for professional growth within an international science and technology organization.

Interested in a Merck working student position that connects experimental biology with data-driven drug research? This biology Opportunity at Merck offers students practical exposure to drug metabolism research and analytical laboratory methods. If your academic background, laboratory experience, and language proficiency match the requirements, review the role and apply.

APPLY ONLINE HERE