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Postdoc and PhD Positions in Bioinformatics and Genomics

The Research Group “Computational Biology and Evolutionary Genomics”
at the Max Planck Institute in Dresden has an opening for a computational biology
PhD and a Postdoc position.

We are hiring for two projects that will discover differences in the genome
that underlie phenotypic differences between species.
To this end, we will build high-quality genome alignments, apply comparative
methods that we have developed in the lab to discover functional genomic
differences, and use statistical approaches to associate genomic to phenotypic
differences. For promising candidate loci, we will experimentally test whether
editing these genomic loci in a model organism recapitulates natural phenotypic
differences.

Our Institute:

Our group is located at the Max Planck Institute of Molecular Cell Biology and
Genetics (MPI-CBG) and we are jointly affiliated with the Max Planck Institute
for the Physics of Complex Systems (MPI-PKS), both in Dresden. Both institutes
are highly interactive and interdisciplinary workplaces, provide an international
atmosphere with English as working language and access to cutting-edge
computational and experimental infrastructure and facilities. The MPI-CBG
was awarded one of the “Best Places To Work for Postdocs” in 2011.

Requirements:

Applicants should have a background in bioinformatics or computational biology.
Excellent programming skills (perl, python, or C/C++) in a Linux environment
as well as experience with shell scripting and Unix tools are required.
Previous experience in large-scale genomic data analysis is an advantage.

Interested candidates should please email
-  Your CV including publication list and contact information for at least two references
-  A summary of previous research experience (max 1 page)
to Michael Hiller (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!).


Links: Group page: http://www.mpi-cbg.de/research/michael-hiller.html

Tenured academic staff / Tenure track lecturer Statistical Bioinformatics

The Faculty of Sciences of Hasselt University (Belgium) seeks a (m/f)  Lecturer in Statistical Bioinformatics ( http://www.uhasselt.be/vacancies_detail?taal=04&vacid=1074)

Education task: The candidate will assume important teaching tasks in the field of bioinformatics and statistics, both at bachelor and master level, and in particular within the bioinformatics trajectory of the Master of Statistics program.

Research mission: It is expected that the candidate will strengthen and/or extend (both from a methodological and an application area perspective) the current research effort of the Center for Statistics (http://www.uhasselt.be/censtat) and Interuniversity Institute for Biostatistics and statistical Bioinformatics (http://ibiostat.be) the field of statistical bioinformatics.  The candidate will direct a part of his/her research interests towards scientific consulting endeavors (including service teaching for research institutions and industry) and ensure a fruitful interaction between the consulting, education, and research tasks.

Profile:

- PhD in statistical bioinformatics, (bio)statistics (or equivalent)
- You have got experience with respect to various aspects of academic education: coordination and organization of courses, development of teaching materials, and supervision of practical projects and dissertations.
- You are cooperative and can work well in teams.
- Academic staff must meet the statutory language requirements for knowledge of the language of instruction (Dutch). If necessary, Hasselt University offers concrete, tailored support measures to help achieve the required language level.
- You have proven (methodological and applied) scientific experience and have published in international and national scientific publications.
- You are involved in national/international partnerships.
- You have proven relevant practical experience in the statistical-bioinformatics field.
- A demonstrable experience in scientific consultation and contract research for industry is an added advantage.

Offer: We will offer either an appointment as a lecturer in the tenure track system during 5 years (this will lead to an immediate permanent contract as a senior lecturer, if the Board of Directors favorably assesses the party involved, based on previously set public grading criteria), or a fulltime appointment as a lecturer or higher, which will lead to tenure. In case of a first appointment as a member of the academic staff, the Board of Directors of the University can decide on a temporary appointment for a period up to 3 years. This will lead to a permanent contract if the Board of Directors favorably assesses the party involved.

Selection procedure: Pre-selection based on CV. Interview with and test lesson/presentation by the selected candidates.

Application: You can only apply online up to and including 15 June 2016.

Scientist in Computational Support for the CBB Unit in Image and Bio-Informatics

Job Description

The European Molecular Biology Laboratory (EMBL) is one of the highest ranked scientific research organisations in the world. The Headquarters Laboratory is located in Heidelberg (Germany), with additional sites in Grenoble (France), Hamburg (Germany), Hinxton (UK) and Monterotondo (Italy).

Research in the CBB Unit relies heavily on imaging technologies that produce very large volumes of complex quantitative data and molecular systems approaches that require the integration of image and biomolecular data and the integrative analysis of these different data types. This permanently requires setting up non-standard computational methods and workflows for data management, processing and analysis.

To address this need, we are seeking a scientist that will support the CBB Unit computationally to bridge the gap between imaging and molecular understanding of biological systems, combining image and bio-informatics. The candidate will develop and implement computational resources for the Unit, including web-based tools for recurrent bioinformatic analysis and reagent design tasks, custom databases for management and dissemination of data as well as data analysis workflows for using EMBL’s high performance compute cluster. The candidate will furthermore develop new methods for data mining using supervised and unsupervised machine learning methods, with a special focus on multidimensional imaging data from dynamic biological systems and their integration with more standard sequence based data types.

In addition to EMBL’s researchers, the candidate will also serve international visitors that aim to carry out projects with similar needs at EMBL. S/he will work in close collaboration with EMBL’s Microscopy and IT Service facilities as well as EMBL’s centres for statistical data and biomolecular network analysis. The candidate will furthermore be expected to actively engage in the general bioinformatics service and training activities of EMBL’s vibrant BioIT community.

Qualifications and Experience

The applicant holds a PhD in natural or computer science. (S)he should have extensive image processing as well as bioinformatics experience, including programming in Java, Perl, Python, MatLab or other modern programming languages (Applicants with a biology background should be able to demonstrate a record of programming skills, whereas applicants with computer science background should document a strong interest in biology at a research level). Familiarity with biological data repositories and web development is expected. Additional qualifications in the fields of database development and/or statistics would be an advantage.

Excellent organizational skills and the ability to work independently on multiple projects with interdisciplinary and international collaborators are expected. The post holder should have excellent communication and interpersonal skills and a strong dedication to enable front line life science research on the highest computational level.

Application Instructions

Please apply online through www.embl.org/jobs

Additional Information

EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation.

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

Links: http://ig14.i-grasp.com//fe/tpl_embl01.asp?newms=jj&id=55009&aid=15470

Senior IT Systems Engineer

We are looking for a Senior IT Systems Engineer with strong interest in High Performance Computing, experience in deploying and configuring complex open source packages, and in managing cluster schedulers. Solid background in UNIX, Linux, network architecture, scripting and parallel file systems is mandatory. You should have a Bachelor or Master degree in computer science or a related field or at least 5 years of hands-on experience. 

In this position you will be responsible for the maintenance and development of our scientific computing cluster. The main tasks on the cluster are related to genome-wide proteomics, human genome next generation sequencing, and large-scale statistical modeling. The work involves the interaction with several groups at CeMM including Michael Pilz (CeMM IT), Jörg Menche (bioinformatics, network theory) and Christoph Bock (bioinformatics, epigenomics, precision medicine).

Knowledge of BeeGFS - Parallel Cluster File System, Bright Cluster Manager, SLURM job scheduler and Azure cloud services would be an advantage. We take career development of our staff seriously at CeMM. Successful candidates get the opportunity to attend international HPC conferences like ISC High performance, EMiT (Emerging Technology) conference or the HPC Knowledge Meeting. As an international top research institute we encourage co-operations within our scientific networks in academia and industry.

Environment:

Supermicro SYS-F627G2-F73+ and IBM x3350 Nodes, Nehalem, Sandy Bridge and Hasswell based Xeon cpu’s 592 cores, 5,7 TB RAM, QDR and FDR Infiniband interconnect, SAS connected FhgFs 4 Fileservers 1 Metadata Server 715 TB net capacity, FC attached SAN 108 TB net capacity. Expected growth of 100% per year!

We offer:
- Excellent work environment

- Daily bonus for the in-house cafeteria

- Salary: This position is remunerated with a min. yearly salary (gross) of € 47,600 on a full time base. The salary is compliant with the applicable collective agreement including an overpayment depending on the qualifications of the applicant. The definite salary agreement will be made during the personal interview.

- Varied job in a meaningful, inspiring, international setting 

Application details:

Please send your application documents, referring to #ITSE by June 30 to: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

CeMM Research Center for Molecular Medicine is an international and interdisciplinary research institute of the Austrian Academy of Sciences. Driven by medical needs, CeMM integrates basic research and clinical expertise to pursue innovative diagnostic and therapeutic approaches focused on cancer, inflammation and immune disorders. CeMM is located in a new tailor-made building at the center of the Vienna Medical University campus, within walking distance of Vienna’s historical city center. According to a study by “The Scientist”, CeMM is 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, as more than 37 different nationalities are represented.

 

 

Phd Candidate position in Computational Epigenomics

The Bioinformatics Group RWTH Aachen University performs research on computational epigenomic methods. Over the past years, we have developed methods for prediction of cell specific binding sites from DNAse-Seq data (Gusmao et al., Bioinformatics, 2014; Gusmao et al., Nature Methods, 2016) and epigenetic and regulatory networks driving cell differentiation via integrative analysis of ChIP-Seq and RNA-Seq data (Allhoff et al., Bioinformatics, 2015; Lin et al., NAR, 2015).

We invite applicants for Phd Candidate positions in Computational Epigenomics. Candidates will perform research on methods for analysis of single cell epigenomics as ATAC-Seq, DNAse-seq and ChIP-Seq. These projects will be performed in collaboration with stem cell and medical specialists from the RWTH Aachen University.

Applicants should hold a M.Sc. in Bioinformatics, Computer Science or related areas. Experience in the analysis of biological sequences, regulatory genomics and/or machine learning is desirable. The candidate should have solid programming skills (C, Python and R) and acquaintance with Linux. Experience with high performance computing is
a plus. The working language of the group is English. Interested candidates should send a brief statement of research interests, CV and the names of three references to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!.

 

PhD student (f/m) in Neuroscience

The Hospital of the University of Munich, Germany, is one of the largest and most competitive university hospitals in Germany and Europe. 46 specialized hospitals, departments and institutions harbouring excellent research and education provide patient care at the highest medical level with approximately 10.000 employees. The Institute for Stroke and Dementia Research offers a fully funded position available immediately:

PhD student (f/m) in Neuroscience

The ISD is a research institute primarily financed by foundation funds bridging the traditional barriers between academic medicine and basic science in the area of stroke research and related dementias.

Description:

The candidate will work closely with the Principal Investigator to perform both experimental and computational approaches. This PhD position will be in an international, dynamic and “open-door” atmosphere, with access to state of the art laboratory facilities and structured training as part of the Graduate School for Systemic Neuroscience (GSN) (http://www.gsn.uni-muenchen.de/index.html), which is a part of Ludwig Maximilian University of Munich (LMU) (ranked as the top university in Germany according to
Times Higher Education World University Rankings).

Your profile:

Applicants should hold a diploma or Master’s degree in a quantitative discipline (e.g. physics, mathematics, computer science, engineering) or biological sciences, preferably with focus on bioinformatics (e.g. biology, medicine, bioengineering) is important. Experience in analysis of functional sequencing data and knowledge of R, Matlab or Python is strongly desired. Sound knowledge of the English language and team-oriented working is crucial for the applicant’s success. Suitable candidate should be highly motivated with an intrinsic interest in disease mechanisms.

Position:

We look for a talented individual to join the ISD (www.isd-muc.de). ISD has a modern infrastructure including: brand new fully equipped lab spaces and offices, an animal facility that is fully equipped with surgery rooms, state-of the art imaging equipment. Our group will integrate single-cell transcriptome profiling with in vivo imaging to focus basic research on clinically relevant questions on the prevention, diagnosis and treatment of stroke and cognitive decline.

The position is initially for 2 years, but has the possibility of extension. Salary will be based on German public employment guidelines (TV-L). The Ludwig-Maximilians-University/Klinikum der Universität München is an equal opportunity employer. Individuals of all nationalities, genders, ages, and those with disabilities are encouraged to apply. We give priority to applicants with a disability and essentially equal qualifications. Presentation costs cannot be refunded. Skype interviews for candidates from abroad are welcome for an initial interview.

Disabled persons will be preferentially considered in case of equal qualification. Presentation costs can’t be refunded.

Applicants should submit their complete application documents (including detailed CV, cover letter, copies of latest degree and transcripts, at least 1 references or the contact info of referee/s – all documents within a single PDF file) via email to:
E-Mail: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

Prof. (W2) für Bioinformatik von Herz-Kreislauferkrankungen an der Universität Frankfurt

Am Fachbereich Medizin der Johann Wolfgang Goethe-Universität Frankfurt am Main ist im Rahmen des Deutschen Zentrums für Herz-Kreislauf-Forschung im Beamten- bzw. äquivalent im Arbeitsverhältnis eine

 

Professur (W2) für Bioinformatik von Herz-Kreislauf-Erkrankungen

 

- befristet auf 6 Jahre - zu besetzen. Die W2-Professur wird vom Deutschen Zentrum für Herz-Kreislauf-Forschung (DZHK) finanziert – der größten Forschungseinrichtung für Herz-Kreislauf-Erkrankungen in Deutschland. Das DZHK konzentriert sich darauf, neue Ansätze aus der Herz-Kreislauf-Forschung in die klinische Praxis zu überführen (Translation), um Diagnose, Prävention und Behandlung von Herz-Kreislauf-Erkrankungen zu verbessern. Das DZHK vereint hervorragende Grundlagenforscher/innen und klinische Forscher/innen aus sieben Standorten in Deutschland. Der/die erfolgreiche Bewerber/in wird DZHK-Professor/-in und Principal Investigator des DZHK (http://dzhk.de/forschung/dzhk-professuren/). Die Professur ist eingebettet in das Vascular Research Centre der Goethe-Universität. Die Position soll auch an den Fachbereich Informatik assoziiert werden.

 

Die Kandidatin/der Kandidat muss auf dem Gebiet der bioinformatischen Datenanalyse ausgewiesen sein. Ein Forschungsschwerpunkt im Bereich der Regulatorischen RNAs (RNA Struktur-Funktionsbeziehung, Analyse nicht codierender RNAs) oder System-Biologie/
Medizin (z.B. Datenintegration) wird ausdrücklich begrüßt. Eine spezielle Expertise in der Analyse des kardiovaskulären Systems ist von Vorteil, aber keine Einstellungsvoraussetzung. Daneben werden Erfahrung in der Lehre und der Leitung einer eigenen Arbeitsgruppe sowie hochkarätige Drittmitteleinwerbung und publikatorische Leistungen vorausgesetzt.

 

Die Professur ist ausgestattet mit einer Anschubfinanzierung („start-up package“), eigenen Mitteln und uneingeschränktem Zugang zur Infrastruktur des Instituts für kardiovaskuläre Regeneration und der IT-Infrastruktur des Kardiovaskulären Schwerpunktes.

 

Einstellungsvoraussetzungen sind ein abgeschlossenes Hochschulstudium, pädagogische Eignung, Promotion und Habilitation oder der Nachweis gleichwertiger wissenschaftlicher Leistungen, die auch im Rahmen einer Juniorprofessur oder außerhalb des Hochschulbereichs erbracht worden sein können. Die Goethe-Universität ist bestrebt, den Anteil der Professorinnen zu erhöhen und fordert deshalb entsprechend qualifizierte Frauen nachdrücklich auf, sich zu bewerben. Details zu den Einstellungsvoraussetzungen und rechtlichen Rahmenbedingungen finden Sie unter:
http://www.vakante-professuren.uni-frankfurt.de 

 

Wissenschaftlerinnen und Wissenschaftler, die in Forschung und Lehre exzellent ausgewiesen sind und international sichtbare Forschungsleistungen belegen können, sind eingeladen, ihre Bewerbungen nach den Richtlinien des Fachbereichs abzufassen und innerhalb von 4 Wochen nach Erscheinen dieser Anzeige an den Dekan des Fachbereichs Medizin der Johann Wolfgang Goethe-Universität, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, E-Mail: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! (ein zusammenhängendes pdf), zu richten.

 

Hinweise zur Abfassung Ihrer Bewerbung finden Sie unter folgender Internet-Adresse:
http://www.med.uni-frankfurt.de/dekanat/berufung/index.html

 

Software Engineer in PhenoMeNal Project

We are seeking to recruit an experienced Software Engineer/Developer to work on the PhenoMeNal H2020 project, to create an e-infrastructure for large-scale computing with medical metabolomics data. You will join the Cheminformatics and Metabolism team at the European Bioinformatics Institute (EMBL-EBI) located at the Wellcome Genome Campus near Cambridge in the UK.

You will lead the further development, scaling and integration of existing bioinformatics solutions into a European e-infrastructure for analysing medical metabolomics data. This will lead into the development of virtual machine images (VMIs) to sustain various levels of data storage, pre-processing, integration, analysis, and visualisation. The use of VMIs will enable a flexible architecture that can run on local systems within participating and collaborating organisations, and maintain a high level of data security/integrity. Tools, services and associated software included in the different VMI’s will be developed and integrated. The project will integrate well established stand-alone bioinformatics tools and a significant amount of research is necessary to investigate the requirements for interoperability of those tools in a coherent practically useful processing pipeline.

The EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academic and industry.

Qualifications and Experience

You must have experience with the following:

    • Java and associated frameworks like Spring and Hibernate

    • JSP/HTML/XML

    • Frontend JavaScript frameworks, like jQuery and AngularJS

    • RESTful Web Services, JSON

    • Maven

    • Continuous Integration, Jenkins

    • Batch / Script / Shell programming

    • Linux/UNIX

    • SQL and NoSQL databases, JDBC

You should also be experienced with agile software development. Familiarity with R, data analysis will be very beneficial. Interest in grid and cloud technologies and interactions with other large-scale EU infrastructures such as the European Grid Initiative is essential.

You will have a strong interest in software engineering along with a strong degree in computer science or a related field. You must be able to work as part of a focussed team, but as the same time be self-driven, trustworthy and able to work independently. You must be a structured worker with good communication skills, and a willingness to travel to European project meetings.


Benefits

EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation. The remuneration package comprises a competitive salary, a comprehensive pension scheme and health insurance, educational and other family related benefits where applicable, as well as financial support for relocation and installation.

We provide a dynamic, international working environment and have close ties with both the University of Cambridge and the Wellcome Trust Sanger Institute.

EMBL-EBI staff also enjoy excellent sports facilities, a free shuttle bus to Cambridge and other nearby centres, an active sports and social club and an attractive working environment set in 55 acres of parkland.

Links: http://www.embl.de/jobs/searchjobs/index.php?ref=EBI_00677&newlang=1

Postdoctoral positions available in the Department for Computational Biology of Infection Research

The Department for Computational Biology of Infection Research Group at HZI is looking for excellent bioinformatics postdocs to work in computational metagenomics and infection research. The two-year postdoc positions are funded with an attractive salary of 100% TVöD E14, with possible extensions depending on performance.

We offer: The lab develops software and algorithms, co-organizes the Critical Assessment of Metagenome Interpretation challenge (CAMI; https://data.cami-challenge.org/), hosts the bioinformatics unit of the German centre for infection research (www.dzif.de) and collaborates locally, nationally and internationally with biologists and medical experts from universities and research institutes. For instance, we recently characterized the root-associated microbiome in barley (Bulgarelli et al. 2015, Cell Host Microbe), developed accurate taxonomic binning software (Dröge et al., 2015, Bioinformatics), and software to study the evolution of influenza viruses from genomic and phenotypic data sets (Klingen et al., in press, Virus Evolution)  Follow-up projects, as well as newly established collaborations, offer plenty of opportunity for an excellent bioinformatics postdoc to shine.

 Location: The department is part of the Helmholtz Center for Infection Research (http://www.helmholtz-hzi.de/), the Braunschweig Integrated Center for System Biology (BRICS) and Technical University of Braunschweig, Germany. Braunschweig is a city with a high density of scientific institutions, many parks and recreational areas and about 250.000 residents. It is centrally located within Germany, with shorter train travel times (30 min, 90 min) to Hannover and Berlin.

 Requirements: The candidate should have a degree in bioinformatics, computational biology, computer science, statistics or similar and a competitive publication record. Experience working in bioinformatics, a commitment to reproducible research, the ability to work in a highly interdisciplinary research field and excellent programming skills are obligatory. Prior experience in meta’omics, infection research or the analysis of NGS data sets is advantageous, but not required.

How to apply: Send your electronic application materials including a letter of motivation, curriculum vitae, copies of your most important publications and addresses of two or three referees to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!. Please add the header ‘comp bio position’ to your application. Note that the HZI is an equal opportunity employer. Qualifications being equal, precedence will be given to candidates with disabilities.

Links:    http://tinyurl.com/kqr9gu6

Postdoctoral Fellow in Bioinformatics / Systems Medicine

A more complete PDF version of this job posting is available from the following URL:

http://epigenomics.cemm.oeaw.ac.at/files/Postdoc_Cancer_Personal_Omics.pdf

We are recruiting postdocs who want to work at the forefront of precision medicine, analyzing and integrating various types of omics data with 3D imaging and wearable device data into systems models of cancer.

Our group is based at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna. It combines advanced technologies (epigenomics, single-cell sequencing, drug screening, mass spectrometry, imaging, etc.) with a deep interest in computational modeling and relevant clinical collaborations. We collaborate closely with physicians at the Vienna General Hospital and the Medical University of Vienna to establish proof-of-concept for precision medicine in several types of cancer.

The Project

For the first time, it is now realistic to follow individual patients in full clinical and molecular detail over the course of diagnosis, first-line treatment and recovery, cure and/or relapse. Prospectively studying representative patients for several cancers, we will combine (i) Omics Profiling including Single-Cell Epigenome/Transcriptome Sequencing, (ii) Patient-specific 3D Culture Models, (iii) Multimodal Imaging, (iv) Digital Pathology and (v) Clinical Phenotyping, in order to establish systems medicine accounts of individual patients. At this level of detail, each patient becomes a powerful study in itself, providing novel insights into complex disease mechanisms and informing personalized therapy.

The Candidate

We are looking for highly motivated and academically outstanding candidates who want to pursue a scientific career in the field of computational and medical epigenomics. A strong candidate may have a background in the computational sciences (bioinformatics, statistics, physics, engineering, etc.) and some prior experience with collaborative research in high-throughput biology. In the same way, we are considering applicants with a background in medicine or in biology (e.g., functional genomics, chemical biology, human genetics, molecular medicine, etc.) who have strong quantitative skills and a keen interest in pursuing systems medicine projects.

The Lab (http://www.medical-epigenomics.org/)

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. We perform large-scale epigenome mapping in order to dissect the dynamics of cancer development and emerging drug resistance. This work is part of the European BLUEPRINT project and the International Human Epigenome Consortium.

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

- Bioinformatics. New algorithms and advanced computational methods allow us to accurately infer epigenetic cell states from large-scale datasets, in order to reconstruct the epigenetic landscape that controls cellular differentiation and reprogramming.

- Diagnostics. Using large-scale DNA methylation mapping, bioinformatic prioritization, and functional characterization, we strive to develop clinically relevant biomarkers for informing personalized cancer therapy.

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

Christoph Bock is a principal investigator at CeMM, guest professor at the Medical University of Vienna, scientific coordinator of Vienna’s Biomedical Sequencing Facility, and adjunct group leader at the Max Planck Institute for Informatics. Previous appointments include the Max Planck Institute for Informatics (PhD studies) and the Broad Institute of MIT and Harvard (postdoctoral research). CB is a 2009 recipient of the Otto Hahn Medal by the Max Planck Society for pioneering work in computational epigenetics, and he recently received two major career development grants – a New Frontier Group award by the Austrian Academy of Sciences (EUR 1.4 million) and an ERC Starting Grant by the European Research Council (EUR 1.3 million). CB leads Genom Austria, which is the Austrian contribution to the International Network of Personal Genome Projects, and he is a member of several European and global initiatives on epigenetics & precision medicine.

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

CeMM is an international research institute of the Austrian Academy of Sciences. Driven by medical needs, CeMM integrates basic research and medical expertise to pursue innovative approaches focused 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 30 different nationalities are represented at the institute.

Applicants should submit cover letter, CV, academic transcripts, and contact details of three referees to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!. Please submit your application documents as a single combined PDF, if possible, and refer to the reference code (PD CB) in the subject line. Applications will be reviewed on a rolling basis, and any application received by 15 April 2016 will be considered. Start dates are very flexible.