Internship AI/ML Engineers, Biomedical AI
Zug, , Switzerland
vor 3 Tg.

At GSK, we are actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) will enable us to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects.

It is an ambitious goal that requires the development of data-driven solutions at the cutting edge of Software Engineering, Automation, Biomedicine, Machine Learning and AI.

If this excites you, we would love to chat.

To help us make this future a reality, we are looking for an AI / ML Intern for a fixed 3-6 month term that is keen to work on developing next generation medical prediction models to address open challenges in the discovery and development of novel breakthrough medicines.

The Biomedical AI team is built on the principles of ownership, accountability, continuous development, and collaboration.

We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.

We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives.

You will :

  • Design and implement state-of-the-art AI / ML models to address open challenges in healthcare.
  • Deliver robust, tested and performant code in an agile development environment.
  • Liaise with experts in biology, medicine and experimentation to ensure fit-for-purpose solutions.
  • We are looking for :

  • Ongoing studies in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others)
  • Demonstrated programming expertise in Python and in developing and delivering robust software solutions.
  • Basic knowledge of modern software development tools and practices (agile frameworks).
  • Basic understanding of at least one major deep learning framework (PyTorch, TensorFlow).
  • Basic knowledge of software engineering best practices.
  • Background or interest in biology or medicine is a plus but not required.
  • Fluency in English. Knowledge of German is not required for this position.
  • In addition, it would be nice if you bring :

  • Relevant experience in design, development and deployment of AI / ML software.
  • Familiarity with machine learning principles and state-of-the-art modelling approaches.
  • Contributions to relevant open-source projects.
  • Knowledge or interest in disease biology, molecular biology and medicine.
  • Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images)
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