Together with university partners at seven renowned partner sites, we have established the German Cancer Consortium (DKTK).
For the partner site of DKTK Frankfurt / Mainz the German Cancer Research Center is seeking a
We are looking for a postdoc at the intersection of machine learning, genomics and oncoloy. Your research will explore how interpretable machine-learning solutions can be used to disentangle sources of variation between patients in large heterogeneous genomics data.
In particular, you will work with probabilistic latent variable models such as variational autoencoders and Gaussian Process Latent Variable models. You will devise, implement and apply interpretable, trustworthy and easy-to use models to analyse proteogenomic data of cancer patients in supervised as well as unsupervised settings.
You will collaborate closely with clinicians and molecular biologists and mentor MSc/BSc students in bioinformatics and/or machine learning.
You will join the MLO Lab (“Machine Learning in Oncology” – https://mlo-lab.github.io) which is located on the campus of the University Hospital Frankfurt and contribute with your research to the application-driven development of interpretable and statistically sound machine learning methods for understanding disease heterogeneity.
We are looking for a candidate with a master's and PhD degree in computer science, statistics, bioinformatics or a related field. A good knowledge of machine learning methods and statistics is expected, experience in handling genomics data is essential. Knowledge of programming / scripting languages (e. g. R or Python, Python and R is a plus) and best practices in software development as well as experience with Linux environments are required. Experience with bioinformatics algorithms and applications is highly desired (e. g. (sc-)RNA-seq data analysis).
The candidate will closely interact with other researchers and clinicians, therefore good English communication skills are also required.
To apply please send a single PDF file containing the cover letter, curriculum vitae, copies of relevant degree certificates and contact details for at least two references.
The position is limited to 2 years.
The position can in principle be part-time.
For further information please contact Prof. Dr. Florian Buettner, phone +49 173 4613687.
The DKFZ is committed to increase the proportion of women in all areas and positions in which women are underrepresented. Qualified female applicants are therefore particularly encouraged to apply.
Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.
To apply for a position please use our online application portal (www.dkfz.de).
We ask for your understanding that we cannot return application documents that are sent to us by post (Deutsches Krebsforschungszentrum, Personalabteilung, Im Neuenheimer Feld 280, 69120 Heidelberg) and that we do not accept applications submitted via email. We apologize for any inconvenience this may cause.
|Location:||Frankfurt - Germany|
|Hours:||Full Time, Part Time|
|Placed On:||13th July 2021|
|Closes:||8th August 2021|
Type / Role: