
Bioinformatician (f/m/d) – cancer single cell and spatial genomics
- Wien
- Unbefristet
- Vollzeit
- Analyze multi-modal single cell data, including spatial omics and high-plex images to identify clinically relevant biological signals.
- Develop and apply novel machine learning and deep learning methods, particularly in genomics and computer vision.
- Contribute to a prestigious research program with a clear and impactful mission.
- Collaborate within a dynamic, multi-disciplinary research team and receive joint supervision from computational and biological experts.
- Author manuscripts, present research findings at scientific conferences, and participate in advanced courses.
- Apply for PhD fellowships and acquire skills in obtaining research funding.
- Supervise and support junior team members, promoting a collaborative research environment.
- MSc degree (obtained or in final stages) in bioinformatics or related fields
- Background in molecular and cancer biology
- Experience in genomics, bioimage and/or spatial tissue analysis
- Solid understanding of statistics and mathematical principles
- Experience in machine learning and deep learning, ideally computer vision
- Skills in maintaining and creating code repositories (e.g., GitHub)
- Programming languages such as R and Python
- Proficiency in deep learning libraries such as PyTorch or TensorFlow
- Well-organized and self-motivated team player with proactive “getting things done'' mentality
- A challenging role in a meaningful, inspiring, and international environment
- An outstanding working atmosphere in young and dynamic team funded by a highly prestigious EXCELLENCE program
- Access to state-of-the-art infrastructure
- Flexible working hours, discounted lunch and other great benefits
- Great location
StepStone
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