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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).   
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 This email address is being protected from spambots. You need JavaScript enabled to view it. (subject: Ph.D. student application (Biomedical Data Science)) by May 7th.

Senior Bioinformatician - Genomics Core Facility [EMBL]



Heidelberg, Germany

Staff Category:

Staff Member

Contract Duration:

3 years


6, 7 or 8, depending on experience and qualifications

Closing Date:

21 May 2017

Reference Number:



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
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

Bitte bewerben Sie sich bis zum 21.05.2017 unter der Ausschreibungsnummer 20170368.209.CK über diesen Link:

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:

This email address is being protected from spambots. You need JavaScript enabled to view it.

oder postalisch an:

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



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

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 (, Austria’s Personal Genome Project.

The Institute

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 ( 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 ( 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).


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.


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:



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 (This email address is being protected from spambots. You need JavaScript enabled to view it.), who can also supply further information about this position. For more information about our lab at LMU, please visit our website at

Applications will be reviewed starting from April 17, 2017   

Manager m|f Bioinformatics/Biostatistics [Miltenyi Biotec GmbH]

Your Role:
-You develop new methods and algorithms in collaboration with R&D members and software engineers for the analysis of high content type of data, such as microscopy, flow cytometry, and single cell sequencing
-You establish and maintain databases for biomarker discovery and functional interpretation
-You serve as an expert in selecting the right and innovative statistical methods for data analysis, experimental design and conducting the actual analysis
-As part of the R&D department you lead a team of 3-4 research professionals and manage the interface to other departments and key persons critical for project success, i.e. clinical development, engineering and marketing

Your Profile:
-You have successfully finished an academic education in computer science, natural scientific (e.g. Bioinformatics, Mathematics, Physics, Statistics) or similar
-You have profound experience in programming (e.g. R, Python, C++, Java, Linux shell scripting, and/or other languages) and statistics applied to life-sciences
-You have proven competences in database construction, development of biological classifiers and algorithm
-You bring along a proven track record of driving innovation and strategic change processes
-Basic knowledge in cell biology, immunology or cancer biology is advantageous
-Ideally you are experienced with working on Phase I- IV study trials within the medical device and/or pharmaceutical industry

What we offer:
-Flexible working hours for a family-friendly career
-Personal and professional development in our in-house academy
-Intercultural and cross-border collaboration
-A modern workplace and a role you can help shape
-Short communication lines and a collegial company culture

Who we are:
-Our innovative solutions in the area of biomedical research and biomedicine make us a pioneer for the therapy of serious diseases
-Today we are an interdisciplinary team of more than 1800 employees
-Based in Germany near Cologne and with 14 additional, international locations we are a multicultural team
-We develop innovative cell and gene therapy solutions – together, we want to make cancer history

Contact us:
Miltenyi Biotec GmbH
Benjamin Malik
HR Specialist | Talent Acquistion
Friedrich-Ebert-Straße 68
51429 Bergisch Gladbach
Phone: +49 2204 8306-2430

Apply online:

Research Scientist Bioinformatics Machine Learning/Deep Learning (m/f) [Bayer, Berlin]

Your tasks and responsibilities
• Leveraging Bayer’s unique position in Life Sciences: Research at the interface of human, animal and plant health.
• Be an active member (m/f) of a highly interdisciplinary and cross-organizational team, including scientists from our divisions across Europe
• Contribute to the implementation of a deep learning platform to leverage data in computational chemistry, pharmacokinetics, toxicology using deep learning
• Extensively validate and further improve the deep learning platform for various property predictions of crop science and drug development compounds
• Research, design, and implement deep learning algorithms for analysis problems related to high-throughput image analysis, for prediction of properties of molecules, and for analysis of complex genomic data
• Generate direct impact on our discovery projects to help patients and ensure proper nutrition of an ever growing population

Who you are

• PhD degree in bioinformatics, computational biology or chemistry, computer science or related fields and a solid background in chemistry or biology
• Experience with state of the art machine learning methods and model selection concepts
• Previous experience with deep learning is of advantage
• Excellent programming skills in Python are essential, additional skills in R or C++ is of advantage
• Proficiency in writing code and using a Linux high performance environment
• Expertise in handling, processing, integrating and analyzing data sets related to research in the pharmaceutical industry
• Highly creative personality with outstanding problem solving ability and the willingness to undertake challenging analysis tasks
• Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively both independently and in cross-functional teams • Willingness to travel between research sites
• Spoken and written proficiency in English is mandatory

Your application

This is a fixed-term contract for two years. We offer a competitive salary and benefits package and support both individual and professional development. Applications for this position should be made online at, submitting a cover letter, your CV and references as well as your salary expectations.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Country: Germany
Location: Berlin
Reference Code: 0000190819

Apply online

Contact us:
Info-Hotline: +49 214 30 99779

Statistikerin / Statistiker [Ruhr-Universität Bochum]

Die Medizinische Bioinformatik des MPC sucht zum nächstmöglichen Zeitpunkt eine Statistikerin / einen Statistiker für die Auswertung quantitativer Proteomik-Daten (Auswertungs- / Experimentplanung, Anwendung und Anpassung von Methoden).

Sie haben Kenntnisse und / oder Erfahrungen in den folgenden Bereichen der Statistik / Bioinformatik:
•Auswertungs-- / Experimentplanung (z. B. abhängige Variablen, Umgang mit bekannten und unbekannten Kovariablen, Fallzahlabschätzung)
•Univariate Methoden zur Datencharakterisierung und Biomarker-Detektion (z. B. statistische Testtheorie, nichtparametrische Tests, parametrische Tests wie z. B.t-Test oder ANOVA, Korrektur bei multiplem Testen)
•Multivariate Methoden zur Datensatzcharakterisierung, Komplexitätsreduktion und variable / feature selection (Hauptkomponentenanalyse, Methoden des hierarchischen Clustering, Klassifikationsmethoden wie z. B. random forest oder support vector machines)
•Expertenwissen in R (Funktionen anwenden und programmieren, Erfahrung mit einer Entwicklungsumgebung wie z. B. RStudio)
•Kooperationsfähigkeit mit fachfremden Wissenschaftlern (z. B. Naturwissenschaftler, klinische Forscher)

•Planung von Auswertungen / Experimenten zusammen mit den datengenerierenden Wissenschaftlern (z. B. Naturwissenschaftler, klinische Forscher)
•Anwendung adäquater Methoden
•Anpassung von vorhandenen Methoden an spezifische wissenschaftliche Fragestellungen
•Darstellung der statistischen Arbeiten in Publikationen, Berichten, Anträgen

Art der Beschäftigung: Vollzeit
Vergütung: TV-L E13 (100%)
Zeitraum der Beschäftigung: 15. Mai 2017 – 31. Dezember 2018 (Verlängerung des Drittmittelprojekts nach Zwischenevaluierung bis Februar 2020 möglich)

Bewerbungsfristende: Freitag, 31. März 2017 - 23:59
weitere Informationen und Kontakt:


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