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Stellenangebote

Bioinformatikerin/Bioinformatiker für methodologische Entwicklungen in Bereich der Einzelzellgenomik

Die Health Data Science Unit (HDSU, www.hdsu.org) ist eine neue Abteilung am BioQuant – Heidelberg  und an der Medizinischen Fakultät der Universität Heidelberg, die sich auf Forschungsthemen im Zusammenhang mit digitaler Gesundheit und der Integration von klinischen und genomischen Datensätzen fokusiert. HDSU ist einer der wichtigsten Partner des HighMed-Konsortiums für medizinische Informatik (www.highmed.org) und leitet die Entwicklung und Einrichtung von Systemen für die Integration klinischer Daten. Weitere Forschungsthemen sind die Analyse von (epi)genomischen und einzelligen Datensätzen. Wir wollen neue Ansätze für die Integration von Multi-Omics-Datensätzen entwickeln, insbesondere für die  Einzelzellengenomik.

Innerhalb des von der DFG geförderten Transregio-Projekts „Determinanten und Dynamik der Elimination versus Persistenz der Hepatitis-Virus-Infektion“ (www.trr179.de) plant die Gruppe von Dr. Carl Herrmann den Aufbau einer zentralen Einzelzellanalyse-Einrichtung in Zusammenarbeit  mit dem Single Cell Open Lab am BioQuant Heidelberg (https://malone.bioquant.uni-heidelberg.de/scopenlab/). Insbesondere sollen die Ursachen der Variabilität in der zellulären Reaktion auf eine Virusinfektion, insbesondere das HCV-Virus, untersucht werden, indem mehrere Datentypen  (scRNA-seq / scATAC-seq) in verschiedenen Zellpopulationen kombiniert werden.

In diesem Zusammenhang suchen wir eine/einen Bioinformatikerin/Bioinformatiker, die/der diese Bemühungen unterstützt und koordiniert, wobei folgende Schwerpunkte im Vordergrund stehen:

• Entwicklung und Implementierung von Standard-Einzelzellanalyse-Workflows für scRNA-seq- und scATAC-seq-Datensätze in einer HPC-Umgebung;

• Implementierung solcher Workflows in einer Cloud-Infrastruktur (de.NBI-Cloud, ELIXIR,…);

• Entwicklung von Datenintegrationsmethoden und -strategien für Single-Cell-Datensätze (scRNA-seq / scATAC-seq)

• Analyse von Einzelzelldatensätzen (scRNA-seq / scATAC-seq / CITE-seq), die im Rahmen des DFG-Konsortiums erstellt wurden;

• Beitrag zu Schulungen und Dokumentation für externe Benutzer dieser Workflows.

Wir suchen eine/einen Kandidatin/Kandidaten mit Erfahrung in der Analyse von Hochdurchsatz-Sequenzierung (RNA-seq / ChIP-seq / ATAC-seq)  sowie der Möglichkeit, Analyse-Workflows einzurichten (vorzugsweise mit Snakemake). Erste Erfahrungen mit Einzelzell-Datensätzen sowie ein solider statistischer Hintergrund wären ein starkes Plus.

Die Stelle ist zunächst auf zwei Jahre befristet und kann möglicherweise weiter verlängert werden.

Bewerbungsschreiben und Lebensläufe (als PDF) sowie Kontaktinformationen von zwei Gutachtern sind per Email an Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! zu senden

 

Wissenschaftlicher Mitarbeiter (m/w/d) im Bereich Bioinformatik (TV-H E13 100%)

An der Professur für Systembiologie an der Justus-Liebig-Universität Gießen ist im Rahmen eines drittmittelfinanzierten BMBF-Projekt zum nächstmöglichen Zeitpunkt eine Vollzeitstelle mit einer/einem Wissenschaftlichen Mitarbeiter/in zu besetzen.

 

Aufgaben:

·         zentrale Aufgaben zur Zertifizierung einer Cloud-Computing-Infrastruktur sowie die Einführung der entsprechend erforderlichen Managementsysteme

·         Planung und Überwachung der Implementierung und Bereitstellung Cloud-basierter Services.

·         Erstellung Benutzer-orientierter Sammlung von zumeist bioinformatischen Software-Tools inklusive Installation und Funktionstest in OpenStack- und Kubernetes-basierten Umgebungen.

·         Pflege einer zugehörigen umfassenden Benutzerdokumentation

·         Teilprojekt-spezifische Unterstützung bei der Datenanalyse als auch die Entwicklung neuer Softwaretools für die Analyse und Visualisierung von Hochdurchsatzdaten.

 

Anforderungsprofil:

·         Abgeschlossenes wissenschaftliches Hochschulstudium in der Bioinformatik / Informatik oder einem anderen IT-nahen Fach

·         Umfangreiche Erfahrung im Bereich der Systemadministration, insbesondere mit Linux-Betriebssystemen

·         Grundlegende Kenntnis der Anforderungen an Zertifizierungsprozesse im IT-Bereich

·         Vorkenntnisse im Bereich der Administration von Infrastruktur-Systemen sowie relevanter bioinformatischer Applikationen und deren Wartung und Installation

·         Solide Kenntnisse im Bereich der Netzwerkinfrastruktur

·         Erfahrungen mit der effektiven Nutzung von Cloud-Computing Plattformen wie OpenStack oder Kubernetes

·         Sichere und nachweisbare Erfahrung mit mindestens einer Programmiersprache, z.B. Perl, Java, Python

 

Link zur kompletten Ausschreibung: [http://www.inst.uni-giessen.de/stellenmarkt/pdf/stelle0011800.pdf

Full Professorship in Medical Data Science and Services (W3 BBesO grade post)

We are one of the youngest universities in Germany and think in terms of unlimited possibilities instead of possible limitations. Located in the heart of the Ruhr metropolis, our 11 faculties develop ideas for the future. We are strong in research and teaching, we embrace diversity, promote academic potential, and we are highly committed to educational equality.

University Medicine Essen is on its way to becoming a SMART Hospital, where digital technologies will enable employees to further improve patient care, research and education. We are convinced that truly personalized medicine can only be realized, if we combine digitization in medicine with artificial intelligence. We have therefore decided to establish an Institute for Artificial Intelligence (AI) in Medicine. In its founding stage, this institute will be staffed with four professorships dealing with different aspects of AI in medicine. We envision these professorships to synergistically lead the successful development of our innovative concept. It is our aim to identify highly motivated individuals with a broad and complementary range of expertise with whom we undertake this journey.

The Medical Faculty of the

University of Duisburg-Essen

is inviting applications for a

Full Professorship in

Medical Data Science and Services

(W3 BBesO grade post)

The position is newly established and will work in concert with three additional professorship positions (two of them within the framework of the Cancer Research Center Cologne Essen (CCCE)), all related to the use of artificial intelligence in medicine. Upon successful development perpetuation of the professorship is envisioned.

Core tasks of the applicant are (i) enhancing the potential of medical data by enabling interoperability between different systems and locations by means of structurization, harmonization, and annotation (ii) data aggregation of next generation information systems like bioimaging, outputs from multi-omics analyses, and others (iii) strategies for anonymization and nationwide valid patient's consent and data access management (iv) data protection-compliant distributed analytics over multiple national and international sites.

The future job holder should have several years of professional experience in the field of data analysis. Excellent knowledge of relational and non-relational database systems is desirable. Further prerequisites are experience in the development and implementation of cooperations with industry as well as scientific productivity. The applicant should have experience with AI techniques and neuronal networks. Ideally, the applicant is familiar with NLP and related methods.

The future chair will also contribute to the main research focuses of the Medical Faculty and will collaborate with and contribute to ongoing and evolving research consortia. Furthermore, the future chair will possess dedicated teaching skills and use innovative methods in teaching and post-graduate qualification.

Qualifications according to § 36 Hochschulgesetz NRW are required and successful experience with competitive third-party funding applications are mandatory. As the University of Duisburg-Essen puts special emphasis on the quality of academic teaching, concepts on the participation in teaching activities with regard to the profile of the University Duisburg-Essen should be provided.

The Medical Faculty in Essen promotes research particularly in the following areas: Cardiovascular Disease, Oncology, Transplantation Medicine and Translational Neuro- and Behavior Sciences, as well as the bridging disciplines of Immunology and Infectious Diseases. This position is dedicated to the area of Oncology.

The position will be available at the earliest.

Application deadline: 13.06.2019

The University of Duisburg-Essen aims to increase diversity among its faculty members (see http://uni-due.de/diversity) and strives to increase the number of women in such positions; therefore, we especially encourage women with relevant qualifications to apply. Women with the appropriate qualifications will receive preferential consideration. Applications from severely disabled candidates according to § 2 Abs. 3 SGB IX are welcome.

Applications with the usual supporting documents [curriculum vitae, list of scientific publications (see http://www.uni-due.de/imperia /md/content/medizin/formblatt_aufbau_schriftenverzeichnis.pdf)], documents on scientific and professional career, certificate copies, information on third-party funding, participation in academic self-administration, past teaching experience and concepts for teaching, and 5 key publications should be submitted by email (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!) to Univ.-Prof. Dr. J. Buer, Dekan der Medizinischen Fakultät, Universitätsklinikum Essen, Hufelandstr. 55, 45147 Essen.

Furthermore, we need you to fill in our application form at https://www.uni-due.de/med/de/organisation/bewerbungsbogen.php. Further information on the position and its embedding in the University of Duisburg-Essen as well as in the Faculty can be found at https://www.uni-due.de/med/de/organisation/berufungen.php. For general information please visit: https://ai.uk-essen.de.

 

Full Professorship in Translational Image-Guided Oncology (W3 BBesO grade post, initially limited to 5 years)

We are one of the youngest universities in Germany and think in terms of unlimited possibilities instead of possible limitations. Located in the heart of the Ruhr metropolis, our 11 faculties develop ideas for the future. We are strong in research and teaching, we embrace diversity, promote academic potential, and we are highly committed to educational equality.

University Medicine Essen is on its way to becoming a SMART Hospital, where digital technologies will enable employees to further improve patient care, research and education. We are convinced that truly personalized medicine can only be realized, if we combine digitization in medicine with artificial intelligence. We have therefore decided to establish an Institute for Artificial Intelligence (AI) in Medicine. In its founding stage, this institute will be staffed with four professorships dealing with different aspects of AI in medicine. We envision these professorships to synergistically lead the successful development of our innovative concept. It is our aim to identify highly motivated individuals with a broad and complementary range of expertise with whom we undertake this journey.

The Medical Faculty of the

University of Duisburg-Essen

is inviting applications for a

Full Professorship in

Translational Image-Guided Oncology

(W3 BBesO grade post, initially limited to 5 years)

The position is newly established within the framework of the Cancer Research Center Cologne Essen (CCCE), in which the University Hospital Essen and the University Hospital Cologne join forces to advance translational cancer research and computational cancer biology. Generous funding is provided by the state of Nordrhein-Westfalen for 5 years; following successful development of the CCCE perpetuation of the professorship is envisioned.

The holder of this position will contribute to research and teaching in the field of Image-guided Oncology at the Medical Faculty and University Hospital Essen. She or he will interact within the framework of the the West German Cancer Center (WTZ), a leading comprehensive cancer center designated as Oncology Center of Excellence by the German Cancer Aid. As partner site of the federally funded German Cancer Consortium (DKTK), formed by seven excellent university medical centers and the German Cancer Research Center Heidelberg (DKFZ), the West German Cancer Center offers a highly competitive and stimulating scientific environment including access to core facilities, biobanks and datasets from large patient cohorts. Collaborative research with basic science is fostered through the Center for Medical Biotechnology integrating the Faculties of Biology, Chemistry and Medicine of the University of Duisburg-Essen.

The future chair should be an internationally acknowledged scientist with broad, outstanding track record in the technical aspects of image-guided oncology. The future chair is expected to establish research lines that translate innovative image guidance concepts for a range of interventions, including, but not limited, to precision surgery, focal and molecularly targeted systemic therapies, into clinical exploration and application in cancer patients. Particular focus areas are the realization of improved procedural planning, real-time intraprocedural diagnostics, imaging-based therapy delivery or theranostics. The future chair will also contribute to the main research focuses of the Medical Faculty and will collaborate with and contribute to ongoing and evolving research consortia. Furthermore, the future chair will possess dedicated teaching skills and use innovative methods in teaching.

Qualifications according to § 36 Hochschulgesetz NRW are required. Publications in peer-reviewed journals and successful experience with competitive third-party funding applications are mandatory. Involvement in teaching activities of the university with emphasis on postgraduate education is mandatory. Concepts on the participation in teaching activities with regard to the profile of the Medical Faculty of the University of Duisburg-Essen should be provided.

The Medical Faculty in Essen promotes research particularly in the following areas: Cardiovascular Disease, Oncology, Transplantation Medicine and Translational Neuro- and Behavior Sciences, as well as the bridging disciplines of Immunology and Infectious Diseases. This position is dedicated to the area of Oncology.

The position will be available at the earliest.

Application deadline: 13.06.2019

The University of Duisburg-Essen aims to increase diversity among its faculty members (see http://uni-due.de/diversity) and strives to increase the number of women in such positions; therefore, we especially encourage women with relevant qualifications to apply. Women with the appropriate qualifications will receive preferential consideration. Applications from severely disabled candidates according to § 2 Abs. 3 SGB IX are welcome.

Applications with the usual supporting documents [curriculum vitae, list of scientific publications (see http://www.uni-due.de/imperia /md/content/medizin/formblatt_aufbau_schriftenverzeichnis.pdf)], documents on scientific and professional career, certificate copies, information on third-party funding, participation in academic self-administration, past teaching experience and concepts for teaching, and 5 key publications should be submitted by email (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!) to Univ.-Prof. Dr. J. Buer, Dekan der Medizinischen Fakultät, Universitätsklinikum Essen, Hufelandstr. 55, 45147 Essen.

 

Furthermore, we need you to fill in our application form at https://www.uni-due.de/med/de/organisation/bewerbungsbogen.php. Further information on the position and its embedding in the University of Duisburg-Essen as well as in the Faculty can be found at https://www.uni-due.de/med/de/organisation/berufungen.php. For general information please visit: https://ai.uk-essen.de.


 

 

 

WEB UI DEVELOPER / BIOINFORMATICIAN

EMBL is seeking a highly motivated web UI developer/(bio)informatician to work in the Genome Biology Computational Support (GBCS). The GBCS team develops and maintains data management and analysis solutions used by EMBL scientists across various EMBL sites. Among these services, STOCKS is a web-based application offering solutions for the management of lab collections (consumables, specimen, samples ...) and *omics data produced by high-throughput assays (in particular NGS data). STOCKS is also an Electronic Lab Notebook allowing scientists to link between their collection items, samples, assays and protocols. STOCKS user front-end is written in Vue.js while the server back end (and the administration interface) is developed using the Python Django framework.

The position primarily involves the maintenance and development of the STOCKS User Interface (Vue.js). The position also involves the maintainance of different tools (e.g. Galaxy & RStudio Server Pro), the installation of scientific libraries (on unix servers) and the production of analysis pipelines for standard NGS protocols using Galaxy, Snakemake or nextflow. The successful applicant supports users on a daily basis, assembles training materials (e.g. writing of wiki-based documentation/how-to) and organizes tutorials.

Applicants should have an appropriate university degree in computer science or bioinformatics (master degree with 3+ years of experience or PhD).

Demonstrated experience in web application development/deployment with modern javascript frameworks (e.g. Vue.js), experience in python development and the use of collaborative tools (git) are a must.

The successful applicant is organized (documentation and communication is an important aspect of the job), open-minded, able to work on different projects in parallel, proactive (problem solving skills are essential) and have a user-oriented spirit.  

The candidate should be able to work independently and also interact well within a team environment. A working knowledge of English is a must.

EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation with a very collegial and family friendly working environment. The remuneration package comprises from a competitive salary, a comprehensive pension scheme, medical, educational and other social benefits, as well as financial support for relocation and installation, including your family and the availability of an excellent child care facility on campus. EMBL has a large thriving community of bioinformaticians, working in close collaboration with experimental scientists and with strong links to other local scientists and institutions.

Links: https://www.embl.de/jobs/searchjobs/index.php?ref=HD01530&newlang=1&srch_trm=we

Translational Artificial Intelligence (W3 BBesO grade post, initially limited to 5 years)

We are one of the youngest universities in Germany and think in terms of unlimited possibilities instead of possible limitations. Located in the heart of the Ruhr metropolis, our 11 faculties develop ideas for the future. We are strong in research and teaching, we embrace diversity, promote academic potential, and we are highly committed to educational equality.

University Medicine Essen is on its way to becoming a SMART Hospital, where digital technologies will enable employees to further improve patient care, research and education. We are convinced that truly personalized medicine can only be realized, if we combine digitization in medicine with artificial intelligence. We have therefore decided to establish an Institute for Artificial Intelligence (AI) in Medicine. In its founding stage, this institute will be staffed with four professorships dealing with different aspects of AI in medicine. We envision these professorships to synergistically lead the successful development of our innovative concept. It is our aim to identify highly motivated individuals with a broad and complementary range of expertise with whom we undertake this journey.

The Medical Faculty of the

University of Duisburg-Essen

is inviting applications for a

Full Professorship in

Translational Artificial Intelligence

(W3 BBesO grade post, initially limited to 5 years)

 

The position is newly established and will work in concert with three additional professorship positions (two of them within the framework of the Cancer Research Center Cologne Essen (CCCE)), all related to the use of artificial intelligence in medicine.

Core tasks of the applicant are (i) the analysis of clinical processes with regard to improvement potential through AI systems (ii) the design and implementation of corresponding systems and (iii) the seamless integration of these systems into clinical processes. For this purpose, the applicant must have a deep understanding of practical clinical medicine and the technical competence to process clinical data on a large scale, to train AI systems using classical machine learning and deep learning, and to finally integrate these systems back into the hospital infrastructure. Special emphasis will be placed on the suitability of such systems for routine clinical use, in particular with regard to user interaction.

The future job holder should have several years of professional experience as a physician in a diagnostic field, ideally radiology, nuclear medicine or digital pathology. In addition, good knowledge and practical experience with standards for data exchange in healthcare (in particular DICOM, HL7, FHIR, SNOMED-CT and LOINC) are required. Practical skills in the areas of Machine Learning and Deep Learning are also required. Proven practical skills in programming distributed systems, microservices and big data architectures as well as many years of experience in dealing with relational and non-relational database systems are desirable. Practical previous experience in dealing with web technologies, especially with regard to the creation of web-based user interfaces, is also desirable. Further prerequisites are previous experience in the development and implementation of industrial cooperations as well as intensive scientific activity that can be proven by scientific publications.

The future chair will also contribute to the main research focuses of the Medical Faculty and will collaborate with and contribute to ongoing and evolving research consortia. As the University of Duisburg-Essen puts special emphasis on the quality of academic teaching, concepts on the participation in teaching activities with regard to the profile of the University Duisburg-Essen should be provided. Furthermore, the future chair will possess dedicated teaching skills and use innovative methods in teaching and qualified post graduates qualification.

Qualifications according to § 36 Hochschulgesetz NRW are required. Publications in peer-reviewed journals and successful experience with competitive third-party funding applications are mandatory. Involvement in teaching activities of the university with emphasis on postgraduate education is mandatory.

The Medical Faculty in Essen promotes research particularly in the following areas: Cardiovascular Disease, Oncology, Transplantation Medicine and Translational Neuro- and Behavior Sciences, as well as the bridging disciplines of Immunology and Infectious Diseases.

The position will be available at the earliest.

Application deadline: 13.06.2019

The University of Duisburg-Essen aims to increase diversity among its faculty members (see http://uni-due.de/diversity) and strives to increase the number of women in such positions; therefore, we especially encourage women with relevant qualifications to apply. Women with the appropriate qualifications will receive preferential consideration. Applications from severely disabled candidates according to § 2 Abs. 3 SGB IX are welcome.

Applications with the usual supporting documents [curriculum vitae, list of scientific publications (see http://www.uni-due.de/imperia /md/content/medizin/formblatt_aufbau_schriftenverzeichnis.pdf)], documents on scientific and professional career, certificate copies, information on third-party funding, participation in academic self-administration, past teaching experience and concepts for teaching, and 5 key publications should be submitted by email (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!) to Univ.-Prof. Dr. J. Buer, Dekan der Medizinischen Fakultät, Universitätsklinikum Essen, Hufelandstr. 55, 45147 Essen.

Furthermore, we need you to fill in our application form at https://www.uni-due.de/med/de/organisation/bewerbungsbogen.php. Further information on the position and its embedding in the University of Duisburg-Essen as well as in the Faculty can be found at https://www.uni-due.de/med/de/organisation/berufungen.php. For general information please visit: https://ai.uk-essen.de.

 

Full Professorship in Medical Data Science in Oncology (W3 BBesO grade post, initially limited to 5 years)

We are one of the youngest universities in Germany and think in terms of unlimited possibilities instead of possible limitations. Located in the heart of the Ruhr metropolis, our 11 faculties develop ideas for the future. We are strong in research and teaching, we embrace diversity, promote academic potential, and we are highly committed to educational equality.

University Medicine Essen is on its way to becoming a SMART Hospital, where digital technologies will enable employees to further improve patient care, research and education. We are convinced that truly personalized medicine can only be realized, if we combine digitization in medicine with artificial intelligence. We have therefore decided to establish an Institute for Artificial Intelligence (AI) in Medicine. In its founding stage, this institute will be staffed with four professorships dealing with different aspects of AI in medicine. We envision these professorships to synergistically lead the successful development of our innovative concept. It is our aim to identify highly motivated individuals with a broad and complementary range of expertise with whom we undertake this journey.

The Medical Faculty of the

University of Duisburg-Essen

is inviting applications for a

Full Professorship in

Medical Data Science in Oncology

(W3 BBesO grade post, initially limited to 5 years)

The position is newly established within the framework of the Cancer Research Center Cologne Essen (CCCE), in which the University Hospital Essen and the University Hospital Cologne join forces to advance translational cancer research and computational cancer biology. Generous funding is provided by the state of Nordrhein-Westfalen for 5 years; following successful development of the CCCE perpetuation of the professorship is envisioned.

The holder of this position will contribute to research and teaching in Medical Data Science at the Medical Faculty and University Hospital Essen. She or he will interact within the framework of the West German Cancer Center (WTZ), a leading comprehensive cancer center designated as Oncology Center of Excellence by the German Cancer Aid. As partner site of the federally funded German Cancer Consortium (DKTK), formed by seven excellent university medical centers and the German Cancer Research Center Heidelberg (DKFZ), the West German Cancer Center offers a highly competitive and stimulating scientific environment including access to core facilities, biobanks and datasets from large patient cohorts.

The future chair should be an internationally acknowledged scientist with broad, outstanding expertise in informatics, particularly in the fields of bioinformatics, biostatistics or medical informatics. The future chair is expected to lead the development and application of novel technologies to retrieve, integrate and mine multimodal datasets originating from clinical care and translational research. New algorithms and bioinformatics pipelines shall be developed that will ultimately feed into direct improvements of patient care in oncology. The future chair will also contribute to the main research focuses of the Medical Faculty and will collaborate with and contribute to ongoing and evolving research consortia. Furthermore, the future chair will possess dedicated teaching skills and use innovative methods in teaching.

Qualifications according to § 36 Hochschulgesetz NRW are required. Internationally visible publications in the field and successful experience with competitive third-party funding applications are mandatory. Involvement in teaching activities of the university with emphasis on postgraduate education is mandatory. Concepts on the participation in teaching activities with regard to the profile of the Medical Faculty of the University of Duisburg-Essen should be provided.

The Medical Faculty in Essen promotes research particularly in the following areas: Cardiovascular Disease, Oncology, Transplantation Medicine and Translational Neuro- and Behavior Sciences, as well as the bridging disciplines of Immunology and Infectious Diseases. This position is dedicated to the area of Oncology.

The position will be available at the earliest.

Application deadline: 13.06.2019

The University of Duisburg-Essen aims to increase diversity among its faculty members (see http://uni-due.de/diversity) and strives to increase the number of women in such positions; therefore, we especially encourage women with relevant qualifications to apply. Women with the appropriate qualifications will receive preferential consideration. Applications from severely disabled candidates according to § 2 Abs. 3 SGB IX are welcome.

Applications with the usual supporting documents [curriculum vitae, list of scientific publications (see http://www.uni-due.de/imperia /md/content/medizin/formblatt_aufbau_schriftenverzeichnis.pdf)], documents on scientific and professional career, certificate copies, information on third-party funding, participation in academic self-administration, past teaching experience and concepts for teaching, and 5 key publications should be submitted by email (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!) to Univ.-Prof. Dr. J. Buer, Dekan der Medizinischen Fakultät, Universitätsklinikum Essen, Hufelandstr. 55, 45147 Essen.

 

Furthermore, we need you to fill in our application form at https://www.uni-due.de/med/de/organisation/bewerbungsbogen.php. Further information on the position and its embedding in the University of Duisburg-Essen as well as in the Faculty can be found at https://www.uni-due.de/med/de/organisation/berufungen.php. For general information please visit: https://ai.uk-essen.de.

 

 

 

 

Several open positions at Bayer in Berlin for enthusiastic bioinformaticians

3 open positions for Bioinformatics Research Scientists at Bayer AG in Berlin. Apply if your dream is to use bioinformatics to improve drug discovery to eventually improve the life of patients. Follow the links  or contact Dr. Bertram Weiss, Bayer AG via linkedIn for details.

Links:

Research Scientist - Machine learning/Deep learning (m/w/d)

DE: https://karriere.bayer.de/de/job/Research-Scientist-Machine-learning-Deep-learning-m-w-d--SF40077_de_DE.html

ENG: https://karriere.bayer.de/en/job/Research-Scientist-Machine-learning-Deep-learning-m-f-d--SF40077_en_US.html

 

Bioinformatiker für Innovative Medicines Initiative mit Fokus auf FAIRplus (m/w/d)

DE:https://karriere.bayer.de/de/job/Bioinformatiker-fuer-Innovative-Medicines-Initiative-mit-Fokus-auf-FAIRplus-m-w-d--SF31306_de_DE.html

ENG: https://karriere.bayer.de/en/job/Research-Scientist-Bioinformatics-for-Innovative-Medicines-Initiative-project-FAIRplus-m-f-d--SF31306_en_US.html

 

Bioinformatiker für Innovative Medicines Initiative mit Fokus auf IMMUcan (m/w/d)

DE: https://karriere.bayer.de/de/job/Bioinformatiker-fuer-Innovative-Medicines-Initiative-mit-Fokus-auf-IMMUcan-m-w-d--SF31307_de_DE.html

ENG: https://karriere.bayer.de/en/job/Research-Scientist-Bioinformatics-for-Innovative-Medicines-Initiative-IMMUcan-project-m-f-d--SF31307_en_US.html

 

 

Paid Internship: Data Science for Food Security at the United Nations in Vienna (FAO/IAEA)

We have an exciting opportunity for an intern to work with us here at the "Plant Breeding and Genetics Lab" of the FAO/IAEA joint Division in Seibersdorf/Vienna, Austria.  "Functional Crop Genomics" describes best what we do. By assisting in Data Analysis, the intern will directly contribute to addressing plant breeding challenges in the developing world and hence help to improve food security. The internship is paid and, with a  duration of (up to) 12 months.

 
Plant Breeding is becoming mostly a digital enterprise. Our main mandate is to develop protocols for broad community use. For this internship we are accepting applications from students and recent graduates with solid skills in computer programming, python scripting, and repository management with github. The intern will join a strong interdisciplinary team of experts in plant breeding, plant tissue culture, molecular biology, and (bio)informatics. A large part of the work will be adapting and developing reproducible computation workflows for current and future R&D. (Our current workflows are mostly in snakemake). If inclined we also have machine learning problems, mostly related to clever analysis of 3rd generation DNA sequencing data.
 
The intern will get the opportunity for collaborative work in an international environment with staff and fellows from around the world who work on a large variety of traits and crops ranging from banana and coffee to Sorghum, and Yam. There is considerable amount of data to analyse with ample opportunities to contribute to scientific publications. 
 
Candidates should apply online here ("Internship Data Science”), deadline is May 19th: 

PostDocs and PhD positions on ProteomicsDB [Munich/Freising]

 

To drive the newly funded research effort “Data integration, Analytics and Services in ProteomicsDB” (DIAS) jointly run between the chairs of Proteomics and Bioanalytics, Bio-informatics, Information Systems and the University Medical School, we are looking to fill five positions for PostDocs and PhD students in Bioinformatics and Computational Biology with a strong background or interest in bioinformatics, database design, data visualization, machine learning and their application in biomedical research. The successful candidates will be key members of a strong interdisciplinary team focused on the development and application of proteomic and genomic approaches to cellular signaling, chemical biology and biomarker discovery in the areas of cancer research and personalized medicine. Five research topics are available which focus on: i) Service engineering in life science research, ii) Data services for mass spectrometry-based proteomics, iii) Integration and analytics of drug effect data, iv) Integration and analytics of protein structure data and v) Support decision making in molecular tumor boards.
 
You will collaborate with colleagues at the European Bioinformatics Institute (PRIDE, ChEMBL and Uniprot), Cellzome (a GSK company) and ThermoFisher Scientific. The project goals are: i) to provide FAIR access to research data, data analytics and data services in ProteomicsDB to the world-wide scientific community; ii) to demonstrate that the integrated analysis of hetero-geneous data modalities leads to new models providing insight into complex biological rela-tionships; iii) to demonstrate that molecular, drug and phenotypic data and data services in ProteomicsDB can be translated to aid clinical decision making.
 
Requirements: candidates should hold a degree in Bioinformatics, Informatics or a related discipline. Extensive theoretical knowledge of and practical skills in statistical analysis, rela-tional database technology, programming and scripting are essential. Additional desirable skills include a sound understanding of proteomic and genomic technologies and data as well as basic biological and (bio) chemical concepts. We are looking for self-motivated and broadly interested individuals with high potential. Flexibility and the ability to work in a multidisciplinary environment on multiple scientific and infrastructure projects focused on innovative ideas are essential. Good communication and interpersonal skills and experience in presenting con-cepts and data in oral and written formats are also important.
Links:  https://proteomics.wzw.tum.de/index.php?id=201