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Stellenangebote

PhD Candidate Cheminformatics: Deep Learning & Target Prediction [TU Dortmund]

For the complete advertisement, please see:
https://service.tu-dortmund.de/wissenschaftlich-beschaftigte

 

The Faculty of Chemistry and Chemical Biology, TU Dortmund University, invites applications for a
PhD candidate position
to be filled at the earliest possible date and appointed for 3 years. Duration of the contract will be based on the targeted qualification (e.g. PhD). Salary will be paid, in agreement with the lawful regulations of tariffs, according to salary group E13 TV-L resp. according to the provisional regulations of the TVÜ-L, if applicable. The Position is a half-time appointment, which represents a typical employment for a PhD candidate in this research area.

 

Research Topic:
A current topic within cheminformatics/in-silico molecular design should be worked on within the scope of a doctoral thesis. The project deals with development and application of deep learning methods in combination with graph-based approaches for the analysis of big bioactivity data. The applicant will gain a comprehensive insight into the process of computer-based rational drug design and will acquire a general knowledge of pharmaceutical drug research through interaction with local groups. The project is part of the DFG funded priority program “Algorithm for Big Data” and is in close collaboration with Prof. P. Mutzel, Department of Computer Science, TU Dortmund.

 

Requirements:
Applicants should hold an excellent scientific master’s/diploma degree. The position requires a degree in bioinformatics, cheminformatics, life science informatics, or chemical biology, chemistry, pharmacy, or a similar qualification. The candidates should have great interest in pharmaceutical research using computer-based methods. If the course of studies did not convey the necessary knowledge regarding computer science methods, the applicants should have first programming experience and knowledge about computers beyond simple usage. Experience with machine learning methods is a plus.

 

Working Environment:
The working group for computational molecular design/medicinal chemistry deals with the development and application of computer- based methods in rational drug design. This includes a whole range of ligand- and structure- based in-silico methods (cheminformatics, virtual screening and rational drug design, docking, homology modeling, and molecular dynamics simulations) that are generally applied in industrial pharmaceutical research. Close collaborations with groups at the TU Dortmund University (www.tu-dortmund.de) and the Max Planck Institute of Molecular Physiology (www.mpi-dortmund.mpg.de) allow a verification of in-silico results using laboratory experiments and perfectly complement the computer-based methods.

 

Further Information:
The TU Dortmund University is committed to increasing the number of women in the Faculty of Chemistry and Chemical Biology in scientific positions and particularly encourages female candidates to apply. Applications from disabled persons are explicitly welcome.

 

Application:
Please send your application until 08.06.2017 with the reference number w23-17 to:
Dr. Oliver Koch
Technische Universität Dortmund
Fakultät für Chemie und Chemische Biologie
Otto-Hahn-Straße 6, D-44221 Dortmund

 

For further information please contact:
Dr. Oliver Koch
E-Mail: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
Tel.: 0049 231 755- 6104
Homepage: www.ccb.tu-dortmund.de/koch
Dortmund, 12.05.2017

Links: PhD Candidate Position - http://www.ccb.tu-dortmund.de/koch

Postdoctoral fellow (m/f) [University Hospital RWTH Aachen]

The research group Intestinal Microbiome at the Institute of Medical Microbiology is seeking a

Postdoctoral fellow (m/f), in microbial ecology and/or bioinformatics or related fields

Your profile:
- PhD degree in microbial ecology and/or bioinformatics or related fields
- Experience in the field of bacterial genomics and/or phylogeny
- Ambition to develop own ideas combined with proficiency in scientific writing

Your tasks:
Perform research projects in bacterial genomics applied to the gut microbiota and minimal microbiomes, e.g.:
- explore the genetic and functional diversity of unique collections of gut bacteria from different host species
- study community dynamics of minimal bacteriomes in continuous culture systems and gnotobionts
- work on genome-based classification of bacterial taxa

We offer:
- a full-time position with a temporary contract for three years to be filled as soon as possible, salary is based on the German public
service salary scale/TV-L
- possibility for an extension, the successful candidate has the opportunity to pursue postdoctoral lecture qualification
a very dynamic and interdisciplinary environment with state-of-the art laboratory and equipment
- The RWTH Aachen University is certified as a family-friendly university and offers a dual career program for partner hiring. We particularly
welcome and encourage applications from women, disabled people and ethnic minority groups, recognizing they are underrepresented
across RWTH Aachen University. The principles of fair and open competition apply and appointments will be made on merit.

Your contact person:
For further information please contact Hr. Univ.-Prof. Dr. rer. nat. Thomas Clavel, Tel.: +49(0)-241-80 85523 or +49(0) 8161715534.
Please send your application by May, 28th to Hr. Univ.-Prof. Dr. rer. nat. Thomas Clavel, Institute of Medical Microbiology, University Hospital
RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany, E-Mail: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
www.ukaachen.de/kliniken-institute/institut-fuer-medizinische-mikrobiologie

Ph.D. Student position in Biomedical Data Science (E13 TV-L, 65%) [Uni Tübingen]

The Chair for Methods in Medical Informatics (Prof. Dr. Nico Pfeifer), Department of Computer Science at Eberhard Karls University Tübingen, one of eleven German universities distinguished as excellent under the German government’s initiative, is currently looking for a    
 
Ph.D. Student in Biomedical Data Science (E13 TV-L, 65%)   
 
starting as soon as possible. The initial fixed-term contract will be for 3 years with possible extension.   
 
The group has extensive knowledge at the interface between statistical machine learning, digital medicine, and computational biology. We are developing methods that allow answering new biomedical questions (Speicher and Pfeifer 2015, Proceedings of ISMB/ECCB 2015) and optimize them in close contact with our excellent national and international biomedical partners (Carlson et al. 2016, Nature Medicine, Schoofs et al. 2016, Science, Scheid et al. 2016, Nature, Döring et al. 2016, Retrovirology, Caskey et al. 2017, Nature Medicine).   
 
Prerequisites 
The ideal candidates will have a M.Sc. or equivalent in Biomedical Data Science, Biometry, Biostatistics, Bioinformatics, Medical Informatics, Computer Science, Computational Biology or a related life science discipline. The applicants should have an interest in interdisciplinary work. Experience in data science and machine learning as well as strong programming/scripting skills (C/C++, R, Matlab, Python, JavaScript, Java) are desirable. Other relevant qualifications include: 
• Background in Statistics 
• Experience with medical data (clinical data, molecular data, …) 
• Experience with high-throughput data (next-generation sequencing, mass spectrometry)  
• Databases (MySQL, NoSQL) 
• Privacy-preserving machine learning  
Knowledge of the adaptive immune system is a plus.  
 
In case of equal qualification and experience, physically challenged applicants are given preference. The University of Tübingen aims at increasing the share of women in science and encourages female scientists to apply. Candidates will be officially employed by the administration of the University of Tübingen.  Please send your application (including motivation letter, curriculum vitae, transcripts and certificates, and contact details of two academic references) via e-mail as a single PDF to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! (subject: Ph.D. student application (Biomedical Data Science)) by May 7th.
 
 

Senior Bioinformatician - Genomics Core Facility [EMBL]

 

Location:

Heidelberg, Germany

Staff Category:

Staff Member

Contract Duration:

3 years

Grading:

6, 7 or 8, depending on experience and qualifications

Closing Date:

21 May 2017

Reference Number:

HD_01076

 

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).

 
EMBL's Genomics Core Facility (GeneCore) is looking for a Senior Bioinformatician to lead its Bioinformatics section. The successful candidate will assist and monitor the production, as well as lead the analysis, management and integration of massively parallel sequencing data generated from a range of sequencing instruments and methodologies (Illumina, Pacific Biosciences, 10x Genomics, Oxford Nanopore, single cell/single DNA strand sequencing [Strand-seq]) and library preparation protocols (DNA-Seq, RNA-Seq, ChIP-seq, Repli-Seq, HiC, and ATAC-Seq). The main task will be the design, implementation and maintenance of complete computational workflows and pipelines required for efficient and timely delivery of large-scale sequencing data including their comprehensive informatics processing and biological analysis.
 
Developing data analysis strategies for re-sequencing data sets relevant to genomic variation analyses using state-of-the-art concepts from computational biology, algorithmic bioinformatics and biostatistics is expected, and prior experience in one of these areas is thus of particular interest. Familiarity with high-performance computing environments, job scheduling, load balancing and parallel computing is considered as a valuable asset, as is the ability to develop multi-threaded applications that take advantage of modern computing systems. In addition, EMBL's Genomics Core Facility is embedded in an excellent ecosystem of outstanding computational and experimental research groups at EMBL, each of which seeks to extend their bioinformatics capabilities and infrastructure and the successful candidate is expected to set-up and implement required algorithms and services to support these groups in the use of massively parallel sequencing data relevant to genomics. 
 
Among other tasks, the successful candidate will have responsibility for:
  • developing computation workflows to monitor the production and perform analyses of DNA-Seq, RNA-Seq, ChIP-Seq and ATAC-Seq data sets
  • implement core pipelines for basecalling, de-multiplexing, data quality control, sequence alignment, variant calling, quantifying gene expression and peak calling
  • design and implement the above applications as software packages that are maintained and disseminated to the research community using widely used code repositories (GitHub, SourceForge, BitBucket), package managers (Bioconda, EasyBuild) and/or Docker application containers
  • analyse massively-parallel sequencing data sets (including applications in the context of genetic variation and genome regulation research) to support other EMBL researchers
  • design web services for common molecular biology tasks and maintain the Genomics Core Facility pipeline management dashboard
  • teach and co-organize scientific courses to educate junior researches at EMBL and elsewhere in crucial applications of massively parallel sequencing data relevant to genomics
     
Qualifications and Experience
 

Essential qualifications include:

  • a PhD in computational biology or a related field with a strong focus on methods development and algorithmic bioinformatics
  • advanced programming skills, ideally including R, Python, Unix/Bash, C or C++ and practical experience with HTSlib
  • strong interest and experience in biological data analysis and scientific software development
  • experience in setting up bioinformatics services and computational workflows for large-scale DNA and RNA sequencing data sets using software pipelines in an HPC or cloud environment
  • experience in software development, maintenance and user support
  • the desire to support and assist biological researchers in their bioinformatics analysis
  • the ability to integrate tools into pipelines and workflows and optimize their interoperability, efficiency, usability and portability
  • knowledge of web software development (HTML, css, JavaScript) and web server administration
The successful applicant needs to have strong problem-solving skills, a profound background in scientific software development and analysis workflow management. She/he will be well organized, open-minded, able to work on different projects in parallel, and have a user-orientated spirit. Ability to generate synergies in genomics technology evaluation, supporting EMBL research groups by contributing to development of computational methods for analysis of genomics data will be seen as highly positive. The candidate should be able to work independently and also interact well, and provide supervisory roles to other bioinformaticians within the EMBL Genomics Core facility team environment. A working knowledge of English is required.
 
Application Instructions
Please apply online through www.embl.org/jobs
Additional Information
Interviews are planned to take place at the beginning of June 2017 
 
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.

 

Wissenschaftliche/r Mitarbeiter/in (Doktorand/in) [Universitätsklinikum Schleswig-Holstein, Campus Kiel]

Das Institut für Medizinische Informatik und Statistik, Universitätsklinikum Schleswig-Holstein, Campus Kiel sucht zum nächstmöglichen Zeitpunkt in dem oben genannten Fachbereich Ihre fachliche und kompetente Unterstützung.

Die Stelle gehört zur vom BMBF geförderten eMed Nachwuchsgruppe “ComorbSysMed – Untersuchung von Komorbiditäten in entzündlichen Hauterkrankungen mittels Methoden des Maschinellen Lernens und Omics-Technologien” (Leiterin: Dr. Silke Szymczak). Das Ziel der system-medizinischen Nachwuchsgruppe ist die Entwicklung von mathematischen Modellen zur Identifizierung von Patienten mit einem hohen Risiko für Begleiterkrankungen.

Ihre Aufgaben:
- Entwicklung und Bewertung bioinformatischer Methoden basierend auf Ansätzen des Maschinellen Lernens (u.a. Random Forests) zur Analyse von hochdimensionalen Daten aus der Genomik
- Methodenvergleiche basierend auf Simulationsstudien
- Anwendung der Methoden auf existierende Hochdurchsatz-Daten im Bereich von chronisch entzündlichen Hauterkrankungen wie Neurodermitis und Schuppenflechte

Ihr Profil:
- Abgeschlossenes Hochschulstudium der Statistik, Mathematik, (Bio-)Informatik, Psychologie oder einer Naturwissenschaft mit statistisch-mathematischem oder informatischem Schwerpunkt
- Gute Programmierkenntnisse in R und/oder Python oder ähnlichen Programmiersprachen
- Gute Englischkenntnisse
- Von Vorteil sind erste Erfahrungen im Bereich des Maschinellen Lernens oder der Auswertung von molekularbiologischen Daten

Weitere Informationen finden Sie unter https://www.uksh.de/Karriere/Stellenangebote-nr-20170368.html.

Bitte bewerben Sie sich bis zum 21.05.2017 unter der Ausschreibungsnummer 20170368.209.CK über diesen Link: www.uksh.de/Bewerbung.html?nr=20170368

Professur (W2 oder W3) für Computational Data Science mit einem Schwerpunkt in der Bioinformatik [Universität Bielefeld]

An der Technischen Fakultät der Universität Bielefeld ist zum nächstmöglichen Zeitpunkt eine Professur (W2 oder W3) für Computational Data Science mit einem Schwerpunkt in der Bioinformatik zu besetzen.

Die Universität Bielefeld baut einen fakultätsübergreifenden Forschungs- und Lehrschwerpunkt Data Science auf. In diesem Rahmen werden bestehende Kompetenzzentren (hier die Bioinformatik) gezielt durch neu zu besetzende Professuren verstärkt und dabei noch stärker interdisziplinär vernetzt. Zu diesen neuen Professuren zählt auch die hier ausgeschriebene Stelle.

Die Stelleninhaberin bzw. der Stelleninhaber vertritt den Bereich Computational Data Science in Forschung und Lehre. Sie oder er kooperiert mit den bioinformatischen Arbeitsgruppen der Technischen Fakultät und beteiligt sich am DFG-Graduiertenkolleg "Computational Methods for the Analysis of the Diversity and Dynamics of Genomes", sowie am Schwerpunkt Data Science. Eine Anbindung an weitere Arbeitsgruppen der Technischen Fakultät ist wünschenswert.

Gesucht wird eine Persönlichkeit, die an der Schnittstelle zwischen Computational Statistics, Algorithmik und molekularbiologisch/biomedizinischer Datenanalyse forscht und lehrt und in mindestens einem aktuellen Bereich von Computational Data Science durch hervorragende wissenschaftliche Leistungen international ausgewiesen ist (z.B. Informationstheorie, Statistical Learning, Umgang mit großen Datenmengen (Big Data), Analyse unsicherer Daten, Data Mining). Gewünscht ist darüber hinaus eine breite Erfahrung in der statistischen Modellierung und algorithmischen Verarbeitung von Daten in relevanten, nicht auf die Bioinformatik beschränkten Bereichen.

Von der Stelleninhaberin bzw. dem Stelleninhaber wird erwartet, dass sie bzw. er die vielfältigen Möglichkeiten zur interdisziplinären Forschungskooperation innerhalb der Universität Bielefeld aktiv nutzt. Unter anderem das entstehende Bielefeld Center for Data Science (BiCDaS), das Zentrum für Biotechnologie (CeBiTec), sowie der Forschungsschwerpunkt Mathematische Modellierung (FSPM2) bieten dem Kandidaten eine attraktive interdisziplinäre Forschungsumgebung. Die Beteiligung an der einschlägigen Lehre in den Bachelor- und Masterstudiengängen der Technischen Fakultät gehört zum Aufgabenbereich der Professur. Darüber hinaus wird erwartet, dass die zukünftige Stelleninhaberin bzw. der zukünftige Stelleninhaber aktiv an den derzeit in Entstehung befindlichen Masterstudiengängen Data Science und Interdisziplinäre Biomedizin mitwirkt.

Einstellungsvoraussetzungen sind gemäß §36 HG NRW ein abgeschlossenes Hochschulstudium  und Promotion in einem relevanten Gebiet (vorzugsweise Informatik) sowie einschlägige Lehrleistungen.

Bewerbungen geeigneter schwerbehinderter und ihnen gleichgestellter behinderter Menschen sind ausdrücklich erwünscht.

Die Universität Bielefeld ist für ihre Erfolge in der Gleichstellung mehrfach ausgezeichnet und als familiengereichte Hochschule zertifiziert. Sie freut sich über Bewerbungen von Frauen. Sie behandelt Bewerbungen in Übereinstimmung mit dem Landesgleichstellungsgesetz.

Bewerbungen mit den üblichen Unterlagen (Lebenslauf, vollständige Publikationsliste,  Angabe der 10 wichtigsten Publikationen in den letzten 10 Jahren, 2-seitiges Forschungs- und Lehrkonzept, Übersicht Lehrerfahrung mit ggf. aktuellen Evaluierungen, Übersicht Forschungserfahrung und – erfolge, Übersicht eingeworbener Drittmittel in den letzten 5 Jahren, Kopien akademischer Zeugnisse) werden als PDF-Dokument (zusammengefasst in einer Datei) bis zum 15. Juni 2017 erbeten an:

Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

oder postalisch an:

Universität Bielefeld
Dekan der Technischen Fakultät
Postfach 10 01 31
33501 Bielefeld

Links: http://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/Verfahrensstand/wiss2820.html

 

Bioinformatician or Scientific Programmer (m/f) [CeMM]

he Biomedical Sequencing Facility is Austria’s leading technology platform and service provider dedicated to genome sequencing in biomedicine – and one of the country’s largest producers of scientific ‘big data’. It is located at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences and operates in close collaboration with the Medical University of Vienna.

To keep up with rapid growth, we are looking for a highly motivated Bioinformatician or Scientific Programmer who would like to contribute to the booming field of digital medicine. The successful candidate will process and analyze complex genome-wide datasets on a dedicated high-performance computing cluster available at CeMM, contributing to collaborative research projects and biomedical applications of genome sequencing technology. At CeMM, we take career development of our staff seriously. For example, we will train the successful candidate in state-of-the-art technologies that are in high demand in academia and industry, and we encourage contribution and co-authorship in scientific publications. Importantly, genomic medicine is a hot topic in Austria and internationally, thus creating a highly promising area for future career development. Tasks and pay are commensurable with skills and performance.

Relevant Qualifications
· Bachelor, Master, and/or PhD degree in bioinformatics, computer science, physics, or quantitative biology (or equivalent)
· Proactive mindset, getting-things-done attitude (start-up experience/spirit is a plus)
· Strong programming skills (any language) and experience working with large volumes of data
· A high degree of accuracy, reliability, organization skills, and a commitment to high-quality service provision
· A formal education in software engineering and/or work experience as a software developer is a plus (but not mandatory)
· Prior experience working with biological or medical data is also a plus (but not mandatory)
· Friendly, collaborative mindset, ability to multi-task and to work effectively in an international environment
· Written and oral communication skills in English
· Motivation to work in one of the fastest-moving and future-oriented areas of biomedicine

 
Typical Tasks
· Software development. Developing cutting-edge software and analysis pipelines for genome data analysis
· Data processing. Maintaining a constant flow of sequencing data (terabytes per week) being transformed into information
· Data analysis. Collaborative work with researchers whose projects profit from state-of-the-art computational methods
· Data management. Developing databases and web infrastructure to keep track of data, analyses, and projects
· Technology development. Work in areas such as single-cell sequencing and whole genome sequencing in a medical context
· Training and outreach. Contributing to workshops and teaching collaborating scientists how to analyze their data
· Genom Austria. Depending on interest, work with CeMM’s citizen science project on personal genomes could be part of the job

The Biomedical Sequencing Facility
http://cemm.at/research/groups/biomedical-sequencing-facility-bsf/

The successful candidate will be part of the team of the Biomedical Sequencing Facility (BSF) based at CeMM. The BSF is Austria’s first and leading center of expertise for next generation sequencing in biomedicine, jointly operated by the Medical University of Vienna and the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences. The BSF focuses on technologies with direct relevance to biomedicine and currently offers genome, epigenome, and transcriptome sequencing services for biomedical applications. Furthermore, it supports biomedical scientists and clinicians in the development of custom NGS protocols and in the bioinformatic analysis of the resulting datasets. The BSF also leads the genome sequencing for Genom Austria (http://genomaustria.at/), Austria’s Personal Genome Project.

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. We are an equal opportunity employer, we believe in the power of diversity and are offering an inclusive and supportive work environment. There are currently more than 40 different nationalities represented at CeMM and our official working language is English. CeMM has an outstanding track record of top-notch science (last five years: 10 papers in Nature/Cell/Science/NEJM, >20 papers in Nature/Cell sister journals) and medical translation. 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.

Please apply online (https://cemm.jobbase.io/job/yw15kd0j) with cover letter, CV, academic transcripts, and contact details of two referees. Applications will be reviewed on a rolling basis. Any application received by 20 May 2017 will be considered. Start dates are flexible.

Wissenschaftliche/r Mitarbeiter-in [Uni Giessen]

An der Professur für Systembiologie mit dem Schwerpunkt Genomik, Proteomik und Transkriptomik ist in einem drittmittelfinanzierten BMBF-Projekt zum nächstmöglichen Zeitpunkt befristet bis zum 28.02.2018 eine Vollzeitstelle mit einer/einem

Wissenschaftlichen Mitarbeiterin/Mitarbeiter

zu besetzen. Bei Vorliegen der tariflichen Voraussetzungen erfolgt die Vergütung nach Entgeltgruppe 13 Tarifvertrag Hessen (TV-H).

Aufgaben:

Im Projekt werden aktuelle Fragen in Bezug auf die Bereitstellung einer flexiblen Software-Plattform im Kontext der Genomforschung bearbeitet. Im Mittelpunkt des Projekts steht die bioinformatische Analyse von Hochdurchsatzdaten (Next-Generation-Sequencing) und deren systembiologische Interpretation und Visualisierung. Sie unterstützen den Aufbau und Betrieb einer Cloud-Computing-Plattform und die Anpassung dieser Plattform an die spezifischen Anforderungen im Bereich der mikrobiellen Bioinformatik.

Die Mit- und Weiterentwicklung der softwaretechnischen Cloud-Infrastruktur zur Erfassung, Verwaltung und Auswertung von Hochdurchsatzdaten bildet den Schwerpunkt Ihrer Tätigkeit.

Anforderungsprofil:

Sie verfügen über ein abgeschlossenes wissenschaftliches Hochschulstudium der (Bio-)Informatik oder einem vergleichbaren Fachgebiet sowie über Erfahrung im Bereich Cloud-Computing. Sie sind sicher in der Nutzung und Administration von Unix/Linux-Betriebssystemen und besitzen umfangreiche Kenntnisse im Bereich moderner Automatisierungs-, Virtualisierungs- und Monitoringtechnologien. Sie beherrschen sicher eine moderne objektorientierte Programmiersprache, mindestens eine Skriptsprache und verfügen über umfangreiche Kenntnisse im Einsatz von Datenbanksystemen.

Link zur kompletten Ausschreibung: http://www.inst.uni-giessen.de/stellenmarkt/pdf/stelle0009521.pdf

 

 

Postdoc Position: Bioinformatics for Molecular Cancer Evolution (Gene Center, LMU, Munich)

Job description
 
The Genomics groups of Laboratory for Functional Genome Analysis (Lafuga, http://www.blum.genzentrum.lmu.de/) at the Ludwig-Maximilians-University is looking for a highly motivated postdoctoral researcher with strong computational skills who is interested particularly in analysis of next generation sequencing (NGS) data in cancer evolution research.
 
Lafuga Genomics has established a platform for biomedical research to provide knowledge in sequencing and analysis of genomes and transcriptomes to a large number of collaboration partners at the LMU, at the TU Munich, the Helmholtz centre or at the Max Planck Institute. Lafuga Genomics is participating in the Collaborative Research Center (CRC) Cancer Evolution (SFB 1243, http://www.sfb1243.biologie.uni-muenchen.de/) in a central project and provides next generation sequencing, data management and analyses. This CRC offers a highly multidisciplinary field and close collaboration of clinicians, experimentalists, statisticians, biologists, and physicists. Within this CRC our lab is integrating cutting edge sequencing technologies (e.g. Illumina, Oxford Nanopore). Besides sequencing Lafuga is running the central data management system of the CRC. It houses all sequencing and meta data and provides state-of-the-art tools for computational data analyses.
 
The main tasks of the postdoctoral researcher will be to handle the central data management system, to conduct analyses for various CRC related sequencing projects and to develop methods for to the analyses of NGS data (e.g. sequencing of single or bulk cells, transcriptomes and exomes). The position is offered for the funding period of the CRC 1243 (initially 2,5 years). 
 
Desired skills and experience
 
- PhD in bioinformatics, computational biology, or related fields.
- Good scripting and programming skills (R, shell scripts, C, python).
- Knowledge in Unix/Linux administration.
- Knowledge in database systems.
- Experience in working with next generation sequencing data.
- Language skills: Fluent in English and German.
- Networking with all partners.
 
About the employer
 
The University of Munich (LMU) is steadily ranked among the top ten universities within Germany and top 50 worldwide. Besides the biomedical campus of the LMU there are many well-known life science institutes and companies distributed within and around the city of Munich. Munich also provides a variety of cultural and recreational activities. The Alps are less than one-hour drive away. The salary is determined by experience according to the German TVL-13 scheme. The LMU is an equal opportunity employer: handicapped candidates with equal qualifications will be given preference.
 
To apply, please send a single PDF file including cover letter, CV, and two references to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!.

PhD position in algorithmic bioinformatics [Canzar lab, Munich]

The Canzar lab at the Gene Center of the University of Munich (LMU) is recruiting a PhD student in algorithmic bioinformatics, to start in spring/summer 2017. The position provides a competitive salary for a period of 4 years.

We develop algorithms for the analysis of high-throughput sequencing data like (single-cell) RNA-seq as well as for third-generation technologies like PacBio and Oxford Nanopore. Supporting the lab's agenda, the successful candidate will use tools and techniques from large-scale optimization and machine learning to develop and engineer efficient algorithms that leverage large numbers of publicly available sequencing data sets. Translated into scalable and usable software, they will facilitate the systematic exploration of important biological or biomedical questions, such as the functional impact of alternative splicing.

The Canzar lab is embedded in the stimulating, interdisciplinary environment of the Graduate School for Quantitative Biosciences Munich (QBM), which integrates approaches ranging from bioinformatics and theoretical biophysics to molecular systems biology. The lab is housed in the new Research Center for Molecular Biosystems (BioSysM) at the life sciences campus Grosshadern/ Martinsried, with excellent access to other parts of Munich via public transport.

We are seeking motivated candidates with an excellent Master’s degree (or equivalent) in computer science, (applied) mathematics, or bioinformatics to join our lab. We expect the candidate to have a solid background in algorithm design and good programming skills as well as an interest in interdisciplinary work (biology, medicine).

To apply, send your application materials, including a motivation letter, your CV, and names of two referees in a single pdf file to Stefan Canzar (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!), who can also supply further information about this position. For more information about our lab at LMU, please visit our website at https://canzarlab.github.io/.

Applications will be reviewed starting from April 17, 2017