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Bioinformatics PhD Student (f/m/d)
University Hospital Heidelberg
The University Hospital Heidelberg is one of the major healthcare centers in Germany. Our objective is the development of innovative diagnostics and therapies as well as their quick implementation for the patient. With about 10,700 employees in more than 50 specialized clinical departments with almost 2,000 beds, about 80,000 patients in part-time and full-time inpatient treatment as well as 1,000,000 patients in ambulant treatment are medicated each year.
Bioinformatics PhD Student (m/f/d)
full-time / part-time – JobID: P0025V325
as soon as possible searched for the Institute of Pathology at the University Hospital Heidelberg to work at the Center for Molecular Pathology in the group of Medical Bioinformatics.
The position is limited to 3 years. The salary is paid according to the German TV-L system (the salary agreement for public service employees).
The Medical Bioinformatics group (lead by Dr. Jan Budczies) works closely together with the Center for Molecular Pathology (MPZ) Heidelberg, one of the leading centers for molecular diagnostics in Europe.
We work with cutting-edge technologies and state-of-the-art infrastructure and offer access to international research networks. The preferred candidate will work in an interdisciplinary and highly motivated team.
Malignant tumors, besides cancer cells, include a microenvironment composed of stromal, immune, vascular and other cells. The project seeks to explore the cellular architecture of malignant tumors by the application machine learnings to digital tissue slides. Exploitation of the cellular composition and organization is expected to contribute to the development of new and better biomarkers for prediction of prognosis and of therapy response.
Method development for the analysis of histomorphological and of multispectral imaging digital tissue slides
Integration of digital tissue data, molecular high-throughput data and clinical-pathological data
Presentation of research results at meetings and conferences, contribution to paper writing
Masters’ degree or equivalent degree in bioinformatics, informatics, computational biology or a related science
Excellent programming skills in at least one programming language, preferably R
Skills in big data analysis and machine learning
Enthusiasm to apply machine learning methods to the analysis of digital tissue slides, research experience in image analysis would be a plus
Familiarity with concepts and data bases related to cancer research would be a plus
Proficiency in English speaking and writing, as well as good team and communication skills
Frau Yvonne Reichelt, Teamassistenz
Im Neuenheimer Feld 224
D-69120 Heidelberg firstname.lastname@example.org
The University Hospital Heidelberg offers:
individual, target-oriented advanced training ticket for public transport nursey and kindergarten as well as holiday organization for schoolchildren health promotion university sports / library
We stand for equal opportunities. People with disabilities are given priority with the same suitability. The university hospital aims at a general increase in the proportion of women in all areas and positions where women are underrepresented. Qualified women are therefore particularly encouraged to apply.