Stellenangebote

Group leader incl. two positions on privacy-aware medical AI

Details

Veröffentlicht: Mittwoch, 24. Oktober 2018 12:26

Junior research group on privacy-aware medical artificial intelligence

Position for a research group leader incl. two researcher positions to fill at TUM in Munich, Germany.

The digital revolution, in particular big data and artificial intelligence (AI), offer new opportunities to transform healthcare. However, it also harbors risks to the safety of sensitive clinical data stored in critical healthcare ICT infrastructure. In particular data exchange over the internet is perceived insurmountable, posing a roadblock hampering big data based medical innovations.

With FeatureCloud, we chair a pan-European transformative AI development project which implements a software toolkit for substantially reducing cyber risks to healthcare infrastructure by employing the world-wide first privacy-by-architecture approach, which has two key characteristics: (1) no sensitive data is sent through any communication channels, and (2) data is not stored in one central point of attack.

Federated machine learning (for privacy-preserving data mining) integrated with blockchain technology (for immutability and management of patient rights) will safely apply next-generation AI technology for medical purposes.

You will be given the chance to head a research team working on a ground-breaking, novel AI infrastructure that only exchanges learned model representations which are anonymous by default.

You will also be given direct insights into the design and execution of an interdisciplinary public-private partnership from IT to medicine that covers all aspects of the value chain: assessment of cyber risks, legal considerations and international policies, development of federated AI technology coupled to blockchaining, app store and user interface design, implementation as certifiable prognostic medical devices, evaluation and translation into clinical practice, commercial exploitation, as well as dissemination and patient trust maximization.

Starting January 2019, and initially funded for five year, we look for a postdoctoral junior research group leader who will developed federated machine learning strategies and establish a new kind of app store: an AI store. You will contribute to paving the way for a socially agreeable big data era of the Medicine 4.0 age. A startup package including one PhD student and one postdoc will be granted to fuel the project and allowing the group to prosper. The ideal candidates have a proven track record and interest in one or several of the following fields: systems medicine, computational biomedicine, bioinformatics, machine learning, data security, software architecture.

At the Chair of Experimental Bioinformatics you will find a young, dynamic team of more than 20 international researchers at different stages in their career and education. We will help you to get familiar with TUM, Munich, and Germany. Find us online at: https://www.baumbachlab.net.

Interested? Send your application including most relevant publications to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

URL to job ad: https://docs.google.com/document/d/1WePhUztbVixFpFdYgj7BuoBJqh3mCD_0hlCM67vaVHw

Scientific Programmer / Bioinformatician [EMBL]

Details

Veröffentlicht: Montag, 01. Oktober 2018 07:45

Location: Heidelberg, Germany
Staff Category: Staff Member
Contract Duration: 3 years (renewable)
Grading: 4, 5 or 6; depending on qualification and experience
Closing Date: 04 November 2018
Reference Number: HD01377

A staff position as scientific programming and software engineering is available in the Statistical Genomics and Systems Genetics group at our laboratory in the Genome Biology Unit at EMBL Heidelberg in Germany.

Our research group is relocating from Cambridge to Heidelberg, where we bridge the excellence in molecular biology and biotechnology at EMBL Heidelberg with disease models and access to large biomedical datasets at the German Cancer Research Center Heidelberg.

Your role

The programmer will lead the development of Kipoi (http://kipoi.org), a software repository and API that seeks to unify recent advances in machine learning and deep neural networks for regulatory genomics. Kipoi builds on 3-way collaboration with international partners (Gagneur lab, LMU Munich, Kundaje lab, Stanford), and is increasingly used and extended by the research community. The position is funded via the recently awarded BMBF project MechML, which we are coordinating. The core aims of the post is to maintain and extend the Kipoi framework and its API, to implement new models within Kipoi and to support users of the system. We are also seeking to expand Kipoi to new fields and domains, including imaging and single-cell genomics. The latter aims are closely connected to the Human Cell Atlas, to which our group contributes as a node in the analysis working group.

You will be located in the Stegle group and collaborate with partners in the MechML projects, collaborators at EMBL, DKFZ and elsewhere. We seek to build on previous developments and expertise in the group, including in deep learning methods (see below). The position will be jointly located at EMBL Heidelberg and DKFZ.

Recent relevant publications:

• Argelaguet, R., et al. (2018). Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets. Molecular Systems biology, 14, e8124.

• Buettner, F., et al. (2017) f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq." Genome biology 18.1 (217): 212.

• Angermueller, Christof, et al. (2017) DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning.Genome biology 1 (2017): 67.

• Angermueller, Christof ,et al. (2016) Deep learning for computational biology. Molecular Systems Biology, 12, 878.

• Buettner, F., et al. (2015). Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells. Nature biotechnology, 33(2), 155.

You have

The successful applicant will hold a doctoral degree or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering with demonstrated experience in scientific programming, ideally combined with computational and statistical methods development.

Previous experience the management of substantial software projects is expected. Expertise in deep learning, the development of methods for genomics and genetics is beneficial, as is communicating results in scientific conferences and papers.

We especially seek candidates with prior experience in the development of software systems that utilize machine learning methods, including methods based on deep learning. 

Proficiency with a high-level programming language (e.g., C++, Java) and/or appropriate scripting languages, and statistical data analysis tools such as R, MATLAB or Python is required.

The ideal applicant should have demonstrated the ability to work independently and creatively. (S)he should have excellent communications skills and be able to articulate clearly the scientific and technical needs, set clear goals and work within an interdisciplinary setting, communicating with other partners within the MechML project and within the Human Cell Atlas project.

You might also have

A good foundation in, and previous usage of methods in any of the following fields is advantageous: statistics, machine learning, genetics, optimization and mathematical modelling. A background in molecular biology, or previous experience tackling biological questions is not necessary.

Why join us

Why not! Well, 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.

What else do I need to know

We are Europe’s flagship research laboratory for the life sciences – an intergovernmental organisation performing scientific research in disciplines including molecular biology, physics, chemistry and computer science. We are an international, innovative and interdisciplinary laboratory with more than 1600 employees from many nations, operating across six sites, in Heidelberg (HQ), Barcelona, Hinxton near Cambridge, Hamburg, Grenoble and Rome.

Our mission is to offer vital services in training scientists, students and visitors at all levels; to develop new instruments and methods in the life sciences and actively engage in technology transfer activities, and to integrate European life science research.

Please note that appointments on fixed term contracts can be renewed, depending on circumstances at the time of the review.

Please apply online through: www.embl.org/jobs

Doktorand Bioinformatik [Universität Stuttgart]

Details

Veröffentlicht: Montag, 01. Oktober 2018 07:44

PhD Position in Bioinformatic Analysis of Ageing (job code 29/2018)

Details

Veröffentlicht: Montag, 24. September 2018 12:43

The Max Planck Institute for Biology of Ageing in Cologne invites applications for

a PhD Position in Bioinformatic Analysis of Ageing (job code 29/2018)

We seek a talented, dynamic, highly motivated young scientist to join our department for Biological Mechanisms of Ageing, (http://www.age.mpg.de/science/research-labs/partridge) headed by Director Prof. Linda Partridge. The project will be done in close collaboration with Prof. Andreas Beyer (http://cecad.uni-koeln.de/Prof-Dr-Andreas-Beyer.361.0.html) from the Cologne Cluster of Excellence CECAD at the University of Cologne across the street. We are interested in applicants with a background in high-throughput data analysis.

The successful candidate will join an enthusiastic and collaborative team in an excellent scientific environment. The department investigates mechanisms of ageing and ageing-associated diseases, using the fruit fly Drosophila and the mouse as experimental model organisms. Our work combines in vivo phenotyping with high-throughput techniques (proteomics, metabolomics, RNA-Seq, Bisulfite-Seq, ChIP-Seq, ATAC-Seq), molecular biology, biochemistry and high-resolution imaging to study how pharmacological, dietary and genetic interventions extend health and lifespan in mice.

Qualifications

The successful candidate will hold a master’s degree in bioinformatics, computational biology or a related field. The applicant should have strong written and oral communication skills. The working language is English; knowledge of the German language is not required. Experience in one of the following methodologies: epigenetics, transcriptomics, high-throughput data analysis, mathematical modelling and network generation is an advantage; basic or advanced programming skills are required.

Research environment

The Max Planck Institute for Biology of Ageing was founded in 2008 for the purpose of understanding fundamental mechanisms of healthy ageing. It is part of a broad network of research institutions in the Cologne-Bonn area dedicated to research on ageing and age-related disease, including the CECAD, constituting a vibrant and collaborative environment for research. Equipped with state-of-the-art technology and excellent core facilities, to which the successful candidate would have access, the institute provides outstanding research opportunities for its scientists. At the moment, we host employees from 34 different nations.

Applications should include:

• a cover letter that includes answers to the following questions:

1. Why are you interested in this position?

2. How is your training relevant to research into the biology of ageing?

3. What are your plans for a future career?

• a Curriculum Vitae including your scientific interests, publications and scientific achievements

• certificates and transcripts of the degrees you obtained already

• contact information for 2-3 references

and should be uploaded as one single pdf-file using our application website https://www.age.mpg.de/career-education/open-positions/ (quoting job code: 29/2018) until 86h November 2018.

We offer a three-year contract according to the funding guidelines for young researchers of the Max Planck Society. The Max Planck Society is committed to employ more disabled individuals and especially encourages them to apply. The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and especially encourages them to apply. The position is available from the earliest time point.

For further information about the Institute see www.age.mpg.de.

Postdoc: Bioinformatics, Deep Learning and Digital Medicine [CeMM]

Details

Veröffentlicht: Montag, 24. September 2018 12:42

We are recruiting an ambitious computational postdoc who wants to pursue groundbreaking research at the interface of computational biology and digital medicine, including deep neural networks and bioinformatic methods development. The scope of potential projects comprises machine learning in medicine (genomics, imaging, etc.), development and application of new methods for multimodal time series analysis, or massive-scale single-cell sequencing analysis.

Our group at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna combines wet-lab biology/medicine (cancer, immunology, epigenetics etc.) with advanced bioinformatics including deep learning. We work closely with physicians at the Vienna General Hospital & Medical University of Vienna to advance precision medicine.

The Project

The successful candidate will develop and apply advanced machine learning technology (e.g., deep neural networks, kernel methods, time series analysis, causal modeling) to discover fundamental mechanisms of biology and to advance personalized medicine. Potential applications include single-cell sequencing in cancer, 3D reconstruction of tumors, epigenetic landscapes, mobile health technology, and pattern discovery in heterogeneous biomedical data. Our location on one of the largest medical campuses in Europe ensures direct relevance to medicine, while close ties with the Max Planck Institute for Informatics (Germany) provide first-hand access to a top-notch computer science environment.

The Candidate

We are looking for ambitious candidates who want to build a scientific career in bioinformatics and/or artificial intelligence research and its applications in biology and medicine. A strong candidate would have a strong background in the quantitative sciences (computer science, bioinformatics, statistics, mathematics physics, engineering, etc.). We will also consider applicants with a background in biology or medicine who have strong quantitative skills and a keen interest in pursuing computational projects (a combination with wet-lab research is possible).

The Lab (http://epigenomics.cemm.oeaw.ac.at/)

The Medical Epigenomics Lab at CeMM pursues an interdisciplinary and highly collaborative research program aimed at understanding the cancer epigenome and establishing its utility for precision medicine. The lab is internationally well-connected and active in several fields:

·         Epigenomics. Many diseases show widespread deregulation of epigenetic cell states. As members of the Human Cell Atlas and the International Human Epigenome Consortium, we use epigenome sequencing to dissect the epigenetic basis of cancer and immunity.

·         Technology. Groundbreaking biomedical research is often driven by new technologies. Our lab is therefore heavily invested into technology development, including single-cell sequencing, CRISPR screens, and epigenome editing.

·         Bioinformatics. New algorithms and advanced computational methods allow us to infer epigenetic cell states from large datasets, in order to reconstruct the epigenetic landscape of cellular differentiation and complex diseases.

·         Diagnostics. New technologies (genome sequencing, mobile devices, etc.) provide important information for personalized medicine. We develop and validate assays and algorithms for translating the value of digital medicine into routine clinical practice.

The Principal Investigator (https://scholar.google.com/citations?user=9qSsTcIAAAAJ)

Christoph Bock is a principal investigator at CeMM. His research focuses on epigenetics, bioinformatics, and high-throughput technology (single-cell sequencing, CRISPR) in the context of personalized medicine. He is also a guest professor at the Medical University of Vienna, scientific coordinator of the Biomedical Sequencing Facility at CeMM, and adjunct group leader for bioinformatics at the Max Planck Institute for Informatics. He has been a principal investigator of the BLUEPRINT project (in the International Human Epigenome Consortium), and he co-founded Genom Austria, a citizen science project that is the Austrian partner in the International Network of Personal Genome Projects. He is a member of the Young Academy of the Austrian Academy of Sciences (since 2017) and recipient of several major research awards, including the Max Planck Society’s Otto Hahn Medal (2009), a New Frontier Group grant by the Austrian Academy of Sciences (2015-2020), an ERC Starting Grant (2016-2021), and the Overton Prize of the International Society of Computational Biology (2017).

The Institute (http://www.cemm.at/)

CeMM is an international research institute of the Austrian Academy of Sciences and a founding member of EU-LIFE. It has an outstanding track record of top-notch science (last few years: >10 papers in Nature/Cell/Science/NEJM, >25 papers in Nature/Cell sister journals) and medical translation. With just over a hundred researchers, CeMM provides a truly collaborative and personal environment, while maintaining critical mass and all relevant technologies. Research at CeMM focuses on cancer, inflammation, and immune disorders. CeMM is located at the center of one of the largest medical campuses in Europe, within walking distance of Vienna’s historical city center. A study by “The Scientist” placed CeMM among the top-5 best places to work in academia world-wide (http://the-scientist.com/2012/08/01/best-places-to-work-academia-2012). Vienna is frequently ranked the world’s best city to live. It is a United Nations city with a large English-speaking community. The official language at CeMM is English, and more than 40 different nationalities are represented at the institute. CeMM promotes equal opportunity and harbors a mix of different talents, backgrounds, competences, and interests. Postdocs at CeMM are paid according to the Austrian Science Fund’s salary scheme, which amounts to an annual gross salary slightly above EUR 50,000.

Please apply online (https://cemm.jobbase.io/job/7u3y2q4d) with cover letter, CV, academic transcripts, and contact details of three referees. Applications will be reviewed on a rolling basis. Any application received by 3 November 2018 will be considered. Start dates are flexible.

Wissenschaftlicher Mitarbeiter (m/w/i) Bioinformatik/Medizinische Informatik [Universität Bielefeld]

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Veröffentlicht: Freitag, 21. September 2018 11:37

Für die Technische Fakultät, Arbeitsgruppe Bioinformatik/Medizinische Informatik, suchen wir zum nächstmöglichen Zeitpunkt in Vollzeit eine/n Wissenschaftliche Mitarbeiterin/Wissenschaftlichen Mitarbeiter

Ihre Aufgaben

Die Arbeitsgruppe Bioinformatik und Medizinische Informatik beschäftigt sich mit der Integration von molekularbiologischen und medizinischen Datenquellen sowie der Anwendung dieser integrierten Daten. Ein aktueller Arbeitsbereich befasst sich mit der Entwicklung von neuartigen Methoden zur Analyse von unerwünschten Arzneimittelwirkungen.
Der/Die Stelleninhaber/in soll Forschungstätigkeiten im Bereich Datenintegration und Informationsfusion durchführen und darauf aufbauend biomedizinische Informationssysteme zur Analyse konzipieren und implementieren. Mittels integrierter Datenbestände soll das existierende Forschungsprogramm für die Identifikation und Reduktion von Nebenwirkungen und Interaktionen von Arzneimitteln unter Berücksichtigung der molekularen Wirkmechanismen (KALIS) weiterentwickelt werden (75 %). Die Mitarbeit im Rahmen der Lehre und Betreuung von Bachelor-und Masterstudierenden wird erwartet (25 %).

Ihr Profil

Das erwarten wir

• abgeschlossenes, wissenschaftliches Hochschulstudium der Informatik, Bioinformatik oder einer angrenzenden Disziplin
• selbstständiges, eigenverantwortliches und engagiertes Arbeiten
• ausgeprägte Organisations-und Koordinationsfähigkeit
• kooperative und teamorientierte Arbeitsweise

Das wünschen wir uns

• Publikationstätigkeit und Erfahrungen im Bereich der Entwicklung und Implementierung webbasierter Informationssysteme
• Erfahrungen im Bereich der Datenintegration und Entwicklung von Integrationsinfrastrukturen
• Erfahrung bei der Betreuung von studentischen Projekt-oder Abschlussarbeiten
• Erfahrungen bei der Betreuung eines Web-Servers

Unser Angebot

Die Vergütung erfolgt nach der Entgeltgruppe 13 des Tarifvertrages für den öffentlichen Dienst der Länder (TV-L). Die Stelle ist gemäß §2 Absatz 1 Satz 1 WissZeitVGfür die Dauer von drei Jahren befristet (entsprechend den Vorgaben des WissZeitVGund des Vertrages über gute Beschäftigungsbedingungen kann sich im Einzelfall eine abweichende Vertragslaufzeit ergeben). Die Beschäftigung ist der wissenschaftlichen Qualifizierung förderlich. Es handelt sich um eine Vollzeitstelle. Auf Wunsch ist grundsätzlich auch eine Stellenbesetzung in Teilzeit möglich, soweit nicht im Einzelfall zwingende dienstliche Gründe entgegenstehen. Die Universität Bielefeld legt Wert auf Chancengleichheit und die Entwicklung ihrer Mitarbeiterinnen und Mitarbeiter. Sie bietet attraktive interne und externe Fortbildungen und Weiterbildungsmaßnahmen. Zudem können Sie eine Vielzahl von Gesundheits-, Beratungs-und Präventionsangeboten nutzen. Die Vereinbarkeit von Beruf und Familie hat einen hohen Stellenwert.

Interessiert?

Wir freuen uns über Ihre Bewerbung per Post an die untenstehende Anschrift oder per E-Mail unter Angabe der Kennziffer wiss18269 in einem einzigen pdf-Dokument an Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! bis zum 4. Oktober 2018. Bitte verzichten Sie auf Bewerbungsmappen und reichen Sie ausschließlich Fotokopien ein, da die Bewerbungsunterlagen nach Abschluss des Auswahlverfahrens vernichtet werden. Weitere Informationen zur Universität Bielefeld finden Sie auf unserer Homepage unter www.uni-bielefeld.de. Bitte beachten Sie, dass Gefährdungen der Vertraulichkeit und der unbefugte Zugriff Dritter bei einer Kommunikation per unverschlüsselter E-Mail nicht ausgeschlossen werden können. Informationen zur Verarbeitung von personenbezogenen Daten finden Sie unter http://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/2018_DS-Hinweise.pdf.

Bewerbungsanschrift

Universität Bielefeld

Technische Fakultät, AG Bioinformatik/Med. Informatik

Herrn Prof. Dr. Ralf Hofestädt

Postfach 10 01 31

33501 Bielefeld

Ansprechpartner:

Prof. Dr. Ralf Hofestädt

0521 106-5283

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Medizininformatiker /Bioinformatiker (m/w) [Universitätsklinikum Jena]

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Veröffentlicht: Freitag, 21. September 2018 11:36

Als einziges Universitätsklinikum in Thüringen sind wir mit 5 000 Mitarbeitern der größte Arbeitgeber der Region. Jährlich werden an unseren 26 Kliniken und Polikliniken rund 280 000 Patienten ambulant und über 55000 stationär versorgt. Am Wissenschafts-standort Jena arbeiten Sie in einem der größten und modernsten Klinikneubauten in Deutschland.

Die IBBJ ist die nach ISO 9001:2008 zertifizierte zentrale Biobank des UKJ. Ihre Hauptaufgabe besteht darin,  Biomaterialen verschiedenster Art qualitätsgesichert zu sammeln, sachgerecht zu lagern und für die Forschung zur Verfügung zu stellen.

Zur Verstärkung des Teams suchen wir für das Institut für Klinische Chemie und Laboratoriumsdiagnostik einen

Medizininformatiker /Bioinformatiker (m/w)

Das sind Ihre Aufgaben:

• Mitwirkung beim Aufbau eines Systems für das Healthcare Integrated Biobanking (DFG-Projekt: http://gepris.dfg.de/gepris/projekt/315098900) basierend auf Ergebnissen semantischer Textanalysen klinischer Dokumente

• Konzeption und Umsetzung von Verfahren zur Generierung von Empfehlungen aus Analyseergebnissen

• Konzeption von Schnittstellen zu Anwendungssystemen der klinischen Forschung und Versorgung

• enge Kooperationen mit Anwendungsspezialisten, Computerlinguisten und klinischem Personal aus dem Bereich der klinischen Chemie und Labordiagnostik

Das Profil bringen Sie mit:

• erfolgreich abgeschlossenes Hochschulstudium der Informatik, Medizininformatik, Bioinformatik oder eine vergleichbare Qualifikation/Berufserfahrung

• hohe Methodenkompetenz in der Durchführung moderner Softwareentwicklungsprojekte

• tiefergehende Kenntnisse von Architektur und Funktionen von Decision-Support-Systemen und hierfür eingesetzten Machine-Learning-Methoden, insbesondere regelbasierte Verfahre und neuronale Netzwerke

• von Vorteil sind Kenntnisse von Kommunikations- und Speicherstandards in der medizinischen Informatik (IHE, HL7 CDA, LOINC, SNOMED CT etc.)

Das bieten wir:

• moderne Arbeitsplätze mit hohem technischem Standard und exzellenter Qualität

• persönliche Entwicklungsmöglichkeiten durch zahlreiche kostenlose Fort- und Weiterbildungsangebote, regelmäßige Mitarbeitergespräche u.v.m.

• Angebote zur Gesundheitsförderung und Vereinbarung von Familie und Beruf wie Beratung zur Kinderbetreuung, Unterstützung bei der Wohnungssuche, Dual-Career- Service

• Job-Ticket (Vergünstigung für öffentliche Verkehrsmittel)

• betriebliche Altersvorsorge (VBL)

Vergütung: erfolgt nach TV-L

Arbeitszeit: 40 Stunden pro Woche

Beginn: zum nächstmöglichen Zeitpunkt

Wir freuen uns auf Ihre Bewerbung! Bitte senden Sie diese bevorzugt online unter: www.uniklinikum-jena.de/Karriere

HiWi für Datenbankerstellung für klinische Studien gesucht [Universitätsklinikum Heidelberg]

Details

Veröffentlicht: Dienstag, 18. September 2018 13:46

Die Sektion Rheumatologie der Medizinischen Klinik V sucht zum nächstmöglichen Zeitpunkt eine studentische / wissenschaftliche Hilfskraft mit IT-Hintergrund. Die Stelle ist befristet auf 4 Monate, die Zeiteinteilung ist flexibel.

Ihre Aufgaben:

- Erstellung und Programmierung zweier Access-basierter Datenbanken anhand eines vorliegenden Konzepts für zwei nicht-interventionelle, klinische Studien.

- Anleitung des Projektmanagements zur korrekten Nutzung und selbstständigen Verwaltung der Datenbanken

Ihr Profil:

- Fundierte Kenntnisse im Bereich Windows 7, Office 2007-16, Office Access und Excel im Besonderen. 2)

- Erfahrung in Programmierung und Troubleshooting von Access-Datenbanken

- Kommunikative und didaktische Fähigkeiten

Interessiert?

Wir freuen uns über Ihre Bewerbung bis zum an 01.11.2018 per Email oder Post an:

Innere Medizin V - Sektion Rheumatologie

Universitätsklinikum Heidelberg

z.H. Dr. med. Karolina Benesova

Im Neuenheimer Feld 410

69120 Heidelberg

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Post-Doctoral Researcher (Integrative Analysis of Pediatric Cancer) Children’s Cancer Research Institute[]

Details

Veröffentlicht: Dienstag, 18. September 2018 13:11

The newly established research group “Integrative Analysis of Pediatric Cancer” headed by Florian Halbritter, http://science.ccri.at/research/research-areas/integrative-analysis/integrative-analysis/ at the Children’s Cancer Research Institute (CCRI) is looking to for a post-doctoral researcher to join our quest to take apart childhood cancer.

We are looking for highly motivated and self-driven individuals who are keen to employ their skills to make a difference. Ideally, you will already have an extensive track record working with high-throughput biological data and have shown the ability to translate these data into meaningful insights. We value ingenuity and are open for new approaches and perspectives. In exceptional cases, experienced experimental researchers may be considered for the post. You will work in close collaboration with molecular biologists, geneticists, oncologists, and bioinformaticians locally and internationally, so good interpersonal skills and a willingness to apply them are essential.

You will:

·        Take on ambitious research in close collaboration with experimental and clinical researchers. You will contribute from the start including planning of experiments and data acquisition, and guide the project to a successful finish by providing thorough and creative analysis

·        Use data from state-of-the-art technologies, including but not limited to high-throughput sequencing. You see technologies as tools and are keen to use the latest and best

·        Monitor the literature, latest software tools, and community resources to keep abreast current developments and to identify information, data, and methods to integrate in your own work

·        Write papers, visit conferences, present your research, review papers, apply for fellowships, and contribute to grants

Your qualifications:

·        PhD in bioinformatics, biostatistics, or data science applied to biomedicine, or alternatively a PhD in molecular biology with additional experience

·        Experience with high-throughput data analysis, ideally including several of the following: (single-cell and/or bulk) RNA-seq, ATAC-seq, ChIP-seq, WGBS/RRBS

·        Good programming and/or scripting skills (R and/or Python)

·        Pragmatic understanding of statistics, good numeric skills, and sound logic

·        Good verbal and written communication / presentation skills (in English, German not required)

·        Prior experience with (pediatric) cancer is a plus, but not required

·        Ability to work independently, self-motivated and creatively

·        An exceptional level of enthusiasm, creativity and determination

Projects:

We aim to investigate the molecular framework underlying different types of cancer to find new markers for improved diagnostics and targets for therapy. Own project ideas fitting within the scope of the CCRI are encouraged. Current projects include:

·        Dissecting intratumor heterogeneity with single-cell transcriptomics and multi-scale epigenomics

·        Utilizing epigenomic readouts of liquid biopsies to monitor treatment response in solid tumors

·        Identifying molecular predictors of relapse in childhood leukemia based on DNA methylation

·        In-vitro and computational modeling of developmental diseases

·        Development of user-friendly tools for visual analysis and interpretation of epigenomes

The institution:

The CCRI is situated in the center of Vienna, one of Europe’s most important places for medical research and life sciences and cited as the most livable city in the world. As a vibrant, international environment, it hosts about 100 researchers working on pediatric leukemia, solid tumors, immunology, and stem cell transplantation. Tightly associated with St. Anna Children´s Hospital, the biggest center for pediatric hematology and oncology in Austria and one of the leading treatment centers for children with cancer in Europe, the CCRI performs basic, translational, and clinical research. Genomics and epigenomics of pediatric cancers are areas of strategic development on its way to precision medicine.

Your application:

Successful applicants will be offered a salary according to the Austrian Science Fund FWF; https://www.fwf.ac.at/en/research-funding/personnel-costs/ and a contract for up to three years with a possibility of extension. Applications should include a motivation letter, curriculum vitae, annotated list of publications, and contact details of three references. Feel free to include any other information, links, or materials that you believe are relevant to your application.

Please send your application only per e-mail: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! to Florian Halbritter. The position shall be staffed as soon as possible, however there is currently no fixed closing date for incoming applications.

Links:

http://science.ccri.at/careers/job-openings/post-doctoral-researcher-computational-analysis-of-pediatric-cancer/

http://science.ccri.at/

www.kinderkrebsforschung.at

Scientific Programmer / Data Scientist [Children’s Cancer Research Institute (CCRI)]

Details

Veröffentlicht: Freitag, 31. August 2018 15:30

The newly established research group “Integrative Analysis of Pediatric Cancer” headed by Florian Halbritter, http://science.ccri.at/research/research-areas/integrative-analysis/integrative-analysis/ at the Children’s Cancer Research Institute (CCRI) is looking for a scientific programmer / data scientists to join our quest to take apart childhood cancer.

We are looking for enthusiastic individuals who are keen to employ their technical skills in a new area and to become contributors to the fight against cancer. You will have extensive experience with computer programming, data analysis, and/or statistics from your university degree and previous work. You will work in close contact with molecular biologists, geneticists, oncologists, and bioinformaticians locally and internationally, so good interpersonal skills and a willingness to apply them are essential. We do not expect any profound knowledge of biology or medicine, but encourage curiosity and an interest to learn more about these topics while on the job.

You will:

•          Write code and scripts to analyze different types of high-throughput biomolecular data using existing tools and packages and inventing new algorithms where necessary

•          Develop user-friendly, web-based software to present tools for data analysis, visualization, and interpretation to experimental and clinical researchers

•          Mine public data sources for additional data relevant to our research projects

•          Contribute to projects and scientific discussions with your technical expertise and know-how of analytical methods

•          Share your skills with other team members and in return learn about bioinformatics, biology, and cancer research

Your qualifications:

•          University degree in computer science, data science, or any other discipline proving a sound computational and analytical foundation

•          Programming and scripting skills in one or more languages, e.g. Python, R, Java, C(++|#), JavaScript and other current web technologies

•          Pragmatic understanding of statistics, good numeric skills, and sound logic

•          Good verbal and written communication / presentation skills (in English, German not required)

•          Enthusiasm and creativity

The institution:

The CCRI is situated in the center of Vienna, one of Europe’s most important places for medical research and life sciences and cited as the most livable city in the world. As a vibrant, international environment, it hosts about 100 researchers working on pediatric leukemia, solid tumors, immunology, and stem cell transplantation. Tightly associated with St. Anna Children´s Hospital, the biggest center for pediatric hematology and oncology in Austria and one of the leading treatment centers for children with cancer in Europe, the CCRI performs basic, translational, and clinical research. Genomics and epigenomics of pediatric cancers are areas of strategic development on its way to precision medicine.

Your application:

Successful applicants will be offered a salary according to the Austrian Science Fund FWF; https://www.fwf.ac.at/en/research-funding/personnel-costs/ and a contract for up to three years with a possibility of extension. Applications should include a motivation letter, curriculum vitae, and contact details of three references. Feel free to include any other information, links (e.g. GitHub), or materials that you believe are relevant to your application.

Please send your application only per e-mail: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! to Florian Halbritter. The position shall be staffed as soon as possible, there is currently no fixed closing date for incoming applications.

http://science.ccri.at/