Software Intern

vor 4 Wochen

Tolochenaz, Waadt, Schweiz Lunaphore Technologies SA Vollzeit

Lunaphore Technologies S.A. is a Swiss company born in 2014 with the vision of enabling spatial biology in every laboratory. Lunaphore provides solutions based on a game-changing chip technology that can extract spatial proteomic and transcriptomic data from tumors and other tissues, transforming any assay into multiplex spatial biology with an intuitive approach.

We are a team of innovators dedicated to empowering researchers in immunology, immuno-oncology, and neuroscience to push the boundaries of scientific discovery and drug development. We build solutions that simplify technology adoption of spatial biology to support the development of diagnostic tools and streamline clinical trials, ultimately improving patient outcomes.

We are seeking a highly motivated, ambitious candidate ready to make an impact in a fast-growing company, bringing awareness to the latest innovations and driving groundbreaking research forward.

For further information on Lunaphore and its products, please visit

We are looking for a Software Intern for a period of 6 months who would contribute to the research and development of machine learning (ML) algorithms to analyze multi-plex immunofluorescence (mIF) images with a focus on image compression impact for image analysis.

The internship will take place partly remotely and partly on site.

Your Missions

Reporting to Application Development Scientist, you will contribute to:

  • Preparing and cleaning existing image datasets.
  • Researching state-of-the-art approaches for cell detection in mIF images.
  • Selecting and training deep-learning models to analyze mIF images.
  • Study the effects of different image compression methods on the image analysis results.
  • Ongoing Bachelor or Master in Bioinformatics, Bioengineering or similar field.
  • Good understanding of digital image acquisition principles.
  • Strong programming skills in Python.
  • Experience with image processing libraries (OpenCV, Scikit-Image, SciPy, PIllow).
  • Experience with the Keras, TensorFlow and/or PyThorch libraries.,
  • Hands-on experience with a modern fluorescence microscopy is a plus.
  • Research and analytical skills.
  • Ability to work independently and as part of a team.
  • Ability to present results to various audiences.
  • Fluent in English.

We offer:

  • Hands-on experience in a real-world project
  • A dynamic company where you can have a real impact
  • An environment where you will be able to grow both professionally and personally
  • Collaborate every day with a young, interactive, and motivated team
  • A diverse and international working environment

To protect the interests of all parties, LUNAPHORE TECHNOLOGIES SA will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to LUNAPHORE TECHNOLOGIES SA will be considered LUNAPHORE TECHNOLOGIES SA property.

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