Postdoc in Biomedical Data Science (m/f)

Employer
Universitätsklinikum Heidelberg
Location
Heidelberg, Baden-Württemberg (DE)
Salary
-
Posted
May 19 2017
Discipline
Health Sciences
Organization Type
Healthcare/Hospital

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 10,000 employees in more than 50 specialized clinical departments with roughly 1,900 beds, about 66,000 patients in part-time and full-time inpatient treatment as well as 1,000,000 patients in ambulant treatment are medicated each year.

Postdoc in Biomedical Data Science (m/f)

Starting date: as soon as possible
Duration: Initially 24 months; option of further extension

The division of Bioinformatics and Systems Cardiology at the Klaus Tschira Institute for Integrative Computational Cardiology / Department of Internal Medicine III, seeks to fill one full-time position.

The successful applicant will enter a collaborative research environment focusing on data-driven approaches to advance our understanding of cardiovascular health and disease. We are looking for a talented investigator to analyze and integrate high-throughput data (next-generation sequencing, mass spectrometry) with phenotypic data from animal models and patient records.

Tasks:
You will apply unsupervised and supervised machine learning techniques to genomic, molecular and phenotypic data from heart development, regeneration and disease models. We are specifically interested in applying new methods (e.g. network inference, tensor decomposition) to identify common and distinct gene network signatures from time-resolved, multi-OMICS data, which were obtained from animal disease models or patient samples. Our goal is to explore molecular avenues to heart failure and to discover novel therapeutic entry points.

Required Qualifications:
The ideal candidate will have a PhD or equivalent in Bioinformatics, Medical Informatics, Computer Science, Computational Biology or a related life science discipline. You offer expertise in machine learning, Bayesian statistics, or a related discipline, and are happy to work in a highly interdisciplinary team. A proven competence in scripting/programming (e.g. two out of C/C++, R, Perl, Python, JavaScript, Java) is essential. Other relevant qualifications include: experience with medical data (clinical data, molecular data), experience with databases (MySQL, NoSQL/Redis) and/or web application programming.

What we offer:
The Dieterich Lab (www.dieterichlab.org) offers a stimulating, diverse and international research environment. We are embedded in a vibrant community of cardiovascular research labs and collaborate with many experimentally or theoretically oriented labs in the Heidelberg area.

Please upload a covering letter/supporting statement, including a brief statement of research interests, CV and the details of two referees as part of your online application.

Applications should be sent by email in ONE pdf-file to sekretariat.dieterich@med.uni-heidelberg.de.

Please do not hesitate to contact us if you have any further questions.

Universitätsklinikum Heidelberg
Zentrum für Innere Medizin
Klinik für Kardiologie, Angiologie, Pneumologie (Innere Medizin III)
Section of Bioinformatics & Systems Cardiology
Prof. Dr. rer. nat. Christoph Dieterich
Im Neuenheimer Feld 669
D-69120 Heidelberg
sekretariat.dieterich@med.uni-heidelberg.de

The University Hospital Heidelberg offers:
▪ individual, target-oriented advanced training ▪ ticket for public transport ▪ nursery and kindergarten as well as holiday organization for schoolchildren ▪ information on flat-hunting ▪ health promotion ▪ university sports / library

www.klinikum.uni-heidelberg.de/Jobs-Karriere

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.