Main tasks
You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI ( baiome.org ) to complement our lively and enthusiastic team of machine learning engineers.
Your main tasks will encompass the development of novel machine and deep learning algorithms to understand, predict, and treat human diseases. Using multi-modal genomic, image, and patient data, in conjunction with graph, transformer, and diffusion models, you will help us understand and treat immune-related maladies. Together with clinical disease experts, you will translate your findings into targeted applications.
Your Profile
- Master's degree in computer science, bioinformatics or related fields
- Solid understanding of machine and deep learning and relevant frameworks (eg Pytorch or Tensorflow, Keras, scikit-learn, OpenCV)
- Proficiency in Python, Linux and HPC environments
- Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students
- Knowledge of biology and medicine is a plus
- Highly motivated with an interest to work in an interdisciplinary team spanning machine learning, bioinformatics, and medicine
- Strong English language skills to communicate and collaborate in our diverse work environment
Immunity status
Please note that employment is only possible if there is complete proof of immunization or immunity against the measles virus in accordance with the applicable (legal and medical) requirements. You must provide proof of this by means of appropriate documents (eg vaccination certificate) before commencing employment.
Our Offer
- Regular pay according to TVöD/VKA; attractive company pension plan and various employee discounts
- 30 days of vacation; possibility of special leave
- Central location: Our clinic is centrally located at the beautiful Eppendorfer Park
- Sustainable travel: subsidies for the HVV-ProfiTicket and Dr. Bike bicycle service; option to lease a service bike
- Crisis-proof workplace, meaningful activity, appreciative interaction and open exchange of knowledge within the team; structured induction training
- Opportunity to actively shape and develop the working environment within the framework of our employee program (UKE INside).
- Family-friendly working environment: cooperation on childcare, free vacation care, advice for employees with relatives in need of care
- Excellent health, prevention and sports offers
- Healthy and varied lunch break: In addition to our canteen, there is a rich selection of culinary offerings just a few steps away, for example the "Health Kitchen" cafés and bistros, as well as other snack bars, bakers, a supermarket, etc .
