Jobs

Biomedical Data Steward / Analyst (m/f)
Starting date: as soon as possible / Duration: Initially 2 years; option of further extension.

The successful applicant will enter a collaborative research environment within the HiGHMed consortium (http://www.highmed.org). He / She will be part of the Dieterich Lab (www.dieterichlab.org) within the cardiology department and will develop ETL (Extract, Transform and Load) processes, openEHR data archetype modeling and patient data analytics. Our primary use case is concerned with heart failure, a high incident disease with serious vital risks. Within the use case, we aim to prevent decompensation events and to prolong non-acute phases for the patient. We are looking for a talented individual with a background in medical informatics.

Tasks
You will analyze information flow in clinical routine procedures and support the implementation of user interfaces for cardiology data acquisition.

You will closely collaborate with the local HiGHMed Data integration center to establish ETL processes for cardiology data. Moreover, you will part of a nation-wide initiative to define and refine data archetypes for the cardiology use case. Equally important, you perform data mining on local and remote cardiology data including longitudinal sensor data.

Required Qualifications
The ideal candidates will have a PhD or equivalent in Medical Informatics, Bioinformatics or Computer Science. You have a proven expertise in data warehousing of biomedical data and are happy to work in a highly interdisciplinary team. We require relevant knowledge of scripting/programming language such as Python and JAVA. Other relevant qualifications include: experience with medical data (clinical data, molecular data), experience with databases (MySQL, NoSQL/Redis) and web application programming.

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Postdoc in Computational ncRNA Biology (m/f)
Starting date: as soon as possible / Duration: Initially 2 years; option of further extension.

The successful applicant will enter a collaborative research environment focusing on Non-coding RNAs in renal and cardiac disorders. We are looking for a talented investigator to analyze the sequence, structure and conservation of the ncRNA transcriptome in mammals. You will be part of a collaborative DFG-funded research unit “Disease pathways in podocyte injury”.

Tasks
You will apply state-of-the-art bioinformatics methods to assemble cell-specific non-coding transcriptomes, assess dynamic expression and localization, as well as sequence-structure conservation from next-generation RNA sequencing data.

You will further develop methods to predict ncRNA interactions with protein, RNA and DNA binding partners. Herein, you will benefit from our membership in the FANTOM6 consortium, which addresses lncRNA function. Moreover, you will look into the impact of RNA modifications on ncRNA function.

Required Qualifications
The ideal candidates will have a PhD or equivalent in Bioinformatics, Computational Biology, Physics, Statistics or a related discipline. You offer solid expertise in handling high-throughput data sets and are fully competent in managing the underlying statistical challenges. Moreover, you are happy to work in a highly interdisciplinary team. A proven competence in scripting/programming (e.g. at least two out of C/C++, R, Perl, Python, Java) is essential. Other relevant qualifications include a good understanding of RNA Biology.

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.

Additionally we offer:
– individual, goal-oriented further education
– ticket for public transport
– Kindergarten as well as holiday organization for schoolchildren
– Information about finding a flat
– Health promotion
– University sports / Library access

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Biomedical Data Steward / Analyst (m / w)
Beginn: so bald wie möglich / Dauer: 2 Jahre mit der Option auf Verlängerung

Der erfolgreiche Bewerber wird Teil eines gemeinschaftlichen Forschungsumfeldes innerhalb des HiGHMed-Konsortiums (http://www.highmed.org) sein. Er/Sie wird in der Arbeitsgruppe Bioinformatik und Systemkardiologie (www.dieterichlab.org) angestellt sein und ETL (Extract, Transform and Load) Prozesse, openEHR Daten Archetype Modeling und Patient Data Analytics Verfahren entwickeln. Unser primärer Anwendungsfall betrifft die Herzinsuffizienz, eine wet verbreitete Erkrankung mit hohen Lebensrisiken. Im Anwendungsfall wollen wir konkret Dekompensationsereignisse verhindern und nichtakute Phasen für den Patienten verlängern. Wir suchen eine talentierte Person mit einem Hintergrund in der Medizininformatik.

Aufgaben
Sie analysieren den Informationsfluss in klinischen Routineverfahren und unterstützen die Implementierung von Benutzeroberflächen für die kardiologische Datenerfassung.
Sie werden eng mit dem lokalen HiGHMed Datenintegrationszentrum zusammenarbeiten, um ETL-Prozesse für Kardiologiedaten zu erstellen. Darüber hinaus werden Sie Teil einer landesweiten Initiative sein, um Daten-Archetypen für den kardiologischen Anwendungsfall zu definieren und zu verfeinern. Genauso wichtig ist, dass Sie Data Mining auf lokalen und verteilten Daten einschließlich longitudinaler Sensordaten durchführen.

Benötigte Qualifikationen

Die idealen Kandidaten haben einen Master oder einen gleichwertigen Abschluss in Medizininformatik, Bioinformatik oder Informatik. Sie verfügen über eine ausgewiesene Expertise im Bereich Data Warehousing biomedizinischer Daten und sind gerne in einem hoch interdisziplinären und internationalen Team tätig. Sie besitzen gute Kenntnisse in den Programmiersprachen Python und JAVA. Andere relevante Qualifikationen umfassen: Erfahrung im Umgang mit medizinischen Daten (klinische Daten, molekulare Daten), Erfahrung mit Datenbanken (SQL, NoSQL) und Web-Anwendungsprogrammierung.

Was wir anbieten

Das Dieterich Lab (www.dieterichlab.org) bietet ein anregendes, vielfältiges und internationales Forschungsumfeld. Wir sind eingebettet in eine lebendige Gemeinschaft von Herz-Kreislauf-Forschungslaboren und arbeiten mit vielen experimentell oder theoretisch ausgerichteten Laboren im Raum Heidelberg zusammen.

Zusätzlich bieten wir:

  • Individuelle, zielorientierte Weiterbildung
  • Ticket für den öffentlichen Verkehr
  • Kinderkrippe und Kindergarten, sowie Ferienorganisation für Schulkinder
  • Informationen zur Wohnungssuche
  • Gesundheitsförderung
  • Universitätssport / Bibliothek

Contact & Application

Applications including all relevant credentials should be sent to (email: in ONE pdf-file):

University Hospital Heidelberg
Department of Internal Medicine III Section of Bioinformatics & Systems Cardiology
Prof. Dr. rer. nat. Christoph Dieterich
Im Neuenheimer Feld 669
69120 Heidelberg

Email: sekretariat.dieterich@med.uni-heidelberg.de

Interested ?
Please contact us.

We are always looking for talented students with a background in bioinformatics / medical informatics who wish to do an internship, master’s thesis or similar.

We also encourage medical students who would like to pursue a computational
project in their dissertation (Medical Structured Scientific Program / MEDISS)
to contact us.

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. Full-time positions are, in principle, divisible insofar as there are no official or legal grounds.

For specific job descriptions, please check back regularly.