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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

6Open Positions

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  • U

    Internship Opportunity (100%) Zampieri Lab

    University of Basel
    Basel, Switzerland
    Found 3 weeks ago
  • S

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U

Internship Opportunity (100%) Zampieri Lab

University of Basel
Found 3 weeks ago
Location
Basel, Switzerland
Duration (Months)
1 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • cell culture techniques
  • 3D cancer models
  • organoids
  • spheroids
  • metabolomics
  • high-content imaging
  • computational modelling
  • Python/R
  • image analysis
  • metabolomics data processing

Soft Skills

  • organizational skills
  • attention to detail
  • ability to work both independently and collaboratively
  • enthusiastic about experimental work
  • data-driven discovery
  • collaborative problem-solving

Job Description

High-throughput drug screening has traditionally relied on 2D cell culture systems, which often fail to capture the structural and metabolic complexity of in vivo patient tumors. This project aims to overcome that limitation by extending our high-throughput metabolic fingerprinting platform into 3D cancer models such as spheroids and organoids. By combining untargeted metabolomics, high-content imaging, and computational modelling, we will systematically compare how 320 small molecules reshape metabolism in both 2D and 3D environments. The resulting dataset will reveal which drug-induced metabolic programs are shared between dimensional contexts and which emerge uniquely in physiologically relevant 3D systems. Ultimately, this work will generate a high-impact resource that improves mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values (https://www.unibas.ch/en/Research/Values-Ethics/Diversity.html), we are committed to sustain and promote an inclusive culture, ensure equal opportunities and value diversity and respect in our working and learning environment. We are seeking a highly motivated 100% Research Intern to support the development, benchmarking, and large-scale profiling of 3D cancer models within our multidisciplinary team. The ideal candidate is enthusiastic about experimental work, data-driven discovery, and collaborative problem-solving.

Requirements

  • Master’s level student in biology, biotechnology, bioengineering, systems biology, computational biology, or a related life science field.
  • Solid hands-on experience with cell culture techniques and 3D cancer models (organoids and/or spheroids) is highly desirable.
  • Basic skills or strong interest in computational analysis (e.g., Python/R, image analysis, or metabolomics data processing) are a plus.
  • Strong organizational skills, attention to detail, and the ability to work both independently and collaboratively.

Related Field

  • Biology and Biotech

Related Subfield

  • Biology Lab & Research

Languages

  • English
▶Apply Now

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