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Tenure-Track position (CR): Machine Learning for Biology and Medicine at the Centre for Computational Biology (CBIO)

The Centre for Computational Biology (Mines ParisTech, Paris) seeks a tenure-track researcher with PhD and postdoc experience in Machine Learning and/or Statistics and a strong interest for biomedical/life sciences applications. The successful candidate will work in a team of 4 permanent researchers on exciting applications in computational biology, including genomics, drug discovery and bioimage informatics. The candidate will also have the opportunity to develop their own line of research for which they will supervise and/or co-supervise PhD students and Postdocs, and apply for funding. The candidate will contribute to the scientific animation in their field of research at CBIO, Mines ParisTech and Institut Curie. Non-French speaking candidates are also welcome. The position is a 3-year tenure track and intended to become a permanent position.


Postdoctoral Researcher Position (FSU Jena, Cluster of Excellence), Modelling of Lung Microbiome

The Cluster of Excellence Balance of the Microverse invites applications for a

Postdoctoral Researcher Position (Ref. No. 062020)

to conduct research in the group of Prof. Stefan Schuster on the project

Modelling and computer simulation of multipartite lung microbiome systems


We expect:

• A Ph.D . (or equivalent) in Bioinformatics, Systems Biology, Computer Science, Microbiology, Theoretical Ecology or related disciplines. Candidates in the final stages of obtaining their doctorate are also eligible to apply

• Desirable methodological skills: Mathematical modelling of biological systems, basics in computer programming, cooperation with experimentalists.

• Highly motivated individuals with an interest in joining one of the interdisciplinary research areas of the Microverse Cluster

• The ability to work creatively and independently towards developing your own research project

• An integrative and cooperative personality with enthusiasm for actively participating in the dynamic Microverse community

• English communication skills, both written and spoken


We offer:

• A highly communicative atmosphere within an energetic scientific network providing top-level research facilities•A comprehensive mentoring program and soft skill courses for early career researchers

• Jena – City of Science: a young and lively town with a vibrant local cultural agenda


The two year full-time postdoctoral researcher position (100% TV-L E13) will be funded through the Excellence Strategy of the German federal and state governments. The Friedrich Schiller University Jena is an equal opportunity employer and part-time contracts can be discussed. Disabled persons with comparable qualifications will receive preferential status.Applications are exclusively accepted via the JSMC Online Application Portal:

Please familiarize yourself with the currently available postdoctoral projects ( and the application process as described in the Online Application Portal. Selected applicants will be invited to a recruitment meeting taking place in September. Awarding decisions will be announced shortly thereafter, and candidates are expected to be available to start their projects in autumn/winter of 2020.


Application deadline: 31st of August 2020


Principal Investigator (m/f/d) in Computational Biology

We are looking for a Principal Investigator (m/f/d) in Computational Biology to establish a competitive independent research group embedded in the multidisciplinary and collaborative environment of the CCRI, which provides many opportunities for interaction with other research groups and institutions. As a Principal Investigator at the CCRI, you strengthen our excellent research team, which focuses on the development and research of innovative approaches for the treatment of childhood cancer. This position offers a unique opportunity to actively contribute to a multidisciplinary competence center for pediatric oncology.




As a Principal Investigator, you will


·         Lead a competitive independent research group


·         Develop your ambitious ideas and perform innovative medically-inspired research


·         Use state-of-the-art computational biology approaches to tackle current challenges in pediatric cancer research


·         Participate actively and further develop our processes of selecting excellent postdoctoral fellows and PhD candidates, teaching activities and supervising junior staff


·         Participate in regular institute meetings and our weekly scientific seminars


·         Cooperate closely with institutes in close proximity, jointly constituting the biomedical research hub of Vienna


·         Maintain a close cooperation between our research institute and the St. Anna Children’s hospital




Your profile


·         PhD-level (or equivalent) with postdoctoral research experience and a track record of scientific excellence documented by publication and funding track records


·         Scientific excellence of an independent research program in the area of computational biology with a potential for clinical translation


·         Enthusiastic about developing your ambitious ideas and perform innovative medically-inspired independent research


·         Proactive team player who enjoys working across disciplines and within an international team of excellent scientists


·         Excellent management skills, high social competence and organizational skills




Our offer


·         Initial five-year contract with the perspective of extension and tenure


·         Opportunity to become part of the CCRI faculty, lively scientific exchange and collaborations, and access to a broad national and international network of scientific and clinical collaborations


·         Competitive startup package including a fully equipped laboratory, your Principal Investigator salary, a budget for consumables, facility services in-house and through our collaborating institutes within Vienna, and travel


·         Access to a state-of-the-art infrastructure environment


·         Support in formulating your most competitive grant ideas (including ERC), and securing additional renowned national and international third-party funding


·         A meaningful, inspiring, and international environment in an outstanding working atmosphere


·         Flexible working hours, discounted lunch in our canteen and other benefits


·         Great location in the center of Vienna, a capital of biomedical research in Europe with excellent quality of life 




Your application




Please send your application via email to our Scientific Director Kaan Boztug, Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! until 16th of September 2020. Applications should contain the following documents:


·         Curriculum Vitae (including full publication list)


·         List of up to five most important publications with a short comment explaining the relevance of the paper and your contribution


·         Funding track record and /or funding plan


·         Names and contact details of at least three references


·         Synopsis of your research interests and planned research program including how you and CCRI could mutually profit from each other








Reference number 215/2020
Fixed term of three years 65% of a full-time position
Planned remuneration: salary group E13 TV-L
The Faculty of Life Sciences, Institute of Biology, Department of Behavioural Ecology, seeks to fill the above position at the earliest opportunity.
The goal is a scientific qualification (doctorate) in the area of the research focus of the professorship: evolution of social behaviour in primates. The work programme will focus on assessing the impact of realized relatedness on primate sociality using whole genome sequencing. The position is funded by the German Research Foundation (DFG) as part of the 2nd DFG sequencing call. The study will concern one of the best-studied primate populations in the world, the rhesus macaque population of Cayo Santiago, Puerto Rico, and will combine genomic and phenotypic data. The genomic part will be done at the Cologne Center for Genomics, with the bioinformatic analysis supported by the Nowick (Bioinformatics Solution Center and Free University Berlin) and the Stadler group (Leipzig University). The genomic data will be linked to comprehensive phenotypic data collected within the framework of earlier studies. The work is planned in collaboration with an international, highly interdisciplinary team working on primate behaviour, evolution and genomics. We are looking for a highly motivated, analytical and innovative candidate. We offer a stimulating scientific environment in a highly collaborative team, with state-of-the-art technology and individually tailored supervision.

Job description:
- Scientific collaboration in a DFG-funded project for the purpose of a doctorate
- Analysis of sequencing data of the whole genome (WGS) of macaques
- Determination of relatedness coefficients (e.g. IDB and ROH)
- Analysis of WGS data in combination with comprehensive phenotypic data, including data from long-term observations, demographic data and field experiments
- Literature research on WGS data and kin recognition in primates
- Publication of the results

- Master of Science or equivalent degree in bioinformatics or biology with good background in bioinformatics
- Very good knowledge or interest in evolutionary biology and/or behavioural ecology
- Solid background in multivariate statistical analyses in R
- Very good written and spoken English
- Independence, commitment and ability to work in a team
- Good communication skills

Please send your application, quoting reference number 215/2020, with a detailed CV, a brief statement of research experience and interests, and two reference letters (or names and contact information of two referees) to
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

Leipzig University
Faculty of Life Sciences
Professor Anja Widdig
Talstraße 33
04103 Leipzig, Germany

by no later than 31 August 2020.

Please note that applying by email is not entirely secure and may pose a privacy risk. The sender assumes full responsibility.
Severely disabled persons are encouraged to apply and will be given preference in the case of equal suitability.
Privacy information
The personal data contained within your application documents or obtained during the interview will be processed exclusively for the purposes of the selection process for the position advertised. The legal basis for such data processing is Section 11(1) of the Saxon Data Protection Implementation Act (Sächs DSDG) in conjunction with the EU General Data Protection Regulation (GDPR). The controller for the application process within the meaning of the GDPR is the addressee of the application, as specified in the respective advertisement. When processing your application, your personal data will be passed on within Leipzig University to
- members of the selection committee
- the human resources management teams
- the Commissioner for Equal Opportunities
- the Disability Officers and
- if necessary, the Staff Council
as part of their organisational or statutory responsibilities.
Your personal data will be erased no later than six months after completion of the selection process. In accordance with the GDPR, subject to the relevant statutory requirements you have the following rights vis-à-vis the addressee of the application with regard to your personal data: right of access (Art. 15 GDPR); right to rectification of inaccurate personal data (Art. 16 GDPR); right to erasure (Art. 17 GDPR); right to restriction of processing (Art. 18 GDPR); and right to object to processing (Art. 21 GDPR). If you have any questions, please contact the Data Protection Officer at Leipzig University (office: Augustusplatz 10, 04109


PhD project: Computational HTSeq-analysis of B-cells

We are one of the youngest universities in Germany and think in terms of
possibilities, not limitations. In the heart of the Ruhr region, we
develop ideas of the future at our 11 faculties. We are strong in
research and teaching, live diversity, support potential and are highly
committed to an educational equality that has earned this name.

The University Duisburg-Essen (Campus Essen), offers a position at the
Faculty of Biology, Research Group Bioinformatics and Computational
Biophysics as:
(65% part-time, salary equivalent TV-L 13)

Activities and responsibilities:
The successful applicant will work in a collaborative project on B cell
differentiation in the germinal center reaction and the resulting memory
B cell compartment in humans.

The focus will be on computational analyses of HTSeq data, specifically:
- analysis of scRNAseq data and HTSeq data of B-cell receptor repertoires
- probabilistic modeling and Bayes inference

The applicant will participate in the BIOME graduate school.

Qualification profile:
- at least 8 semesters of successful studies with a Master in
Bioinformatics, Biostatistics, Computational Biology, Biology or similar.
- solid background in bioinformatics and statistics (probabilistic
modeling, Bayes inference)
- familiarity with processing and analysis of HTSeq database
- very good programming skills, esp. with R
- knowledge of the biological background (B cells)
- good communication skills (incl. ability of writing and speaking
scientific english) and team working abilities

We offer:
- participation in cutting edge research project
- interesting job in an excellent team
- supplementary training opportunities
- sports and health offers (university sports)

Send application to
Applications (including a letter of motivation and a CV with contact
information of two references) and inquiries with reference code
jv-473-20 should be addressed by e-mail to: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!,
Universität Duisburg-Essen.

Wissenschaftliche*n Mitarbeiter*in (m/w/d) für Promotion oder Postdoc in Computational Pan-Genomics

Die Digitalisierung der Biomedizin und des Gesundheitswesens ist eine der
treibendsten Herausforderungen unserer Zeit. Die Erstellung, Weiterentwicklung
und Implementierung von Methoden, Werkzeugen und Software zur Unterstützung und
Verbesserung der modernen Biologie und Medizin ist daher eines der wichtigsten
Forschungsthemen an den Schnittstellen von Data Science und Computational
Biology. Die im Januar 2020 gegründete Gruppe „Genome Data Science“ (Lehrstuhl:
Prof. Dr. Alexander Schönhuth) wird den Schwerpunkt auf verwandte Themen der
rechnergestützten biomedizinischen Forschung legen. Die Forschung der Gruppe
wird zur Big-Data-Analyse und -Management, zu modernen
Hochdurchsatztechnologien, zum (effektiven und sicheren) Einsatz künstlicher
Intelligenz in der rechnergestützten personalisierten Medizin beitragen,
beispielsweise zur Optimierung von Therapiestrategien und zur Auswahl von
Behandlungsoptionen sowie zur Entwicklung und Implementierung von Mathematik
und Computertechniken, die den Zwecken der modernen Biomedizin dienen. Wir
suchen derzeit eine*n hochmotivierte*n Doktorand*in oder Postdoktorand*in für
unsere Gruppe. Die Arbeitssprache ist je nach persönlicher Präferenz Englisch
oder Deutsch. 

Das Profil aller erforderten Tätigkeiten umfasst:
 - Forschungstätigkeiten(75%)
 - DurchführungvonLehrveranstaltungen(20%)
 - MitarbeitinderakademischenSelbstverwaltung(5%)

Die entsprechenden Forschungs- und Publikationstätigkeiten beziehen sich
entweder auf das Gebiet der Computational Pan-Genomics oder der künstlichen
Intelligenz in der Biomedizin. Besondere Beispiele für mögliche Forschung sind:
 - Erstellungund Analyse neuartiger algorithmischer/mathematischer Strukturen
   und Indizes, die die Kartierung der genetischen Vielfalt ganzer Populationen
 - Erstellungund Implementierung von Programmierrahmen, die die Analyse der
   genetischen Vielfalt von Krankheiten unterstützen
 - Entwicklung und Design von Pan-Genom-Darstellungen für
 - Entwicklung und Design von Architekturen für tiefe neuronale Netze zur
   Analyse von Multi-Omics-Datensätzen
 - Aufbau tiefer Netzwerkarchitekturen, um Vorhersagen aus diesen Darstellungen

Das genaue Thema kann im Rahmen von individuellen Diskussionen erarbeitet
werden. Für weitere Informationen, insbesondere bezüglich des 
Bewerbungsprozesses, siehe [LINKS]


“Job announcement” 

Wissenschaftliche*n Mitarbeiter*in (m/w/d) für Promotion in Biomedical Data Science

ie Arbeitsgruppe „Biomedical Data Science“ (Lehrstuhl Prof. Dr. Alexander Schönhuth) wurde im Januar 2020 gegründet. Die Digitalisierung der Biomedizin und des Gesundheitswesens ist eines der bedeutsamsten Themen unserer Zeit. Die Idee dieser neuen Arbeitsgruppe ist, den Einsatz von computergestützter Hochdurchsatztechnologie („Big Data“), künstlicher Intelligenz und anderweitig relevanter informatischer und mathematischer Techniken in diesem Themenkreis voranzutreiben, und damit zur Schaffung moderner und individuell personalisierter Präzisionsmedizin auf ethisch vertretbare Art und Weise beizutragen. Für diese Arbeitsgruppe suchen wir eine*n wissenschaftliche*n Mitarbeiter*in. Die dabei durchgeführten Forschungstätigkeiten führen optimalerweise zur Promotion, die dem Bereich „Künstliche Intelligenz in der Biomedizin/Computergestützte personalisierte Medizin/Algorithmische Bioinformatik/Genomik/Einzelzellgenomik/Pan-Genomik“ zugewiesen werden kann.

Zu den Arbeitsbereichen gehören insbesondere:
 - Forschungs- und Publikationstätigkeiten (75 %) in den Bereichen
 - Deep Learning zum Verstehen/Diagnostizieren/Therapieren bislang unverstandener Krankheiten mit genetischem Hintergrund (zum Beispiel Amyotrophe Laterale Sklerose oder andere neuropathologische Konditionen, gewisse chronische Erkrankungen, insbesondere wenn diese Erkrankungen mit dem Mikrobiom in Zusammenhang stehen, oder Krebs)
 - Erarbeiten von Programmier-Frameworks, die sich mit der Analyse der genetischen Vielfalt von Krankheiten auseinandersetzen
 - Auswertung von Einzelzell-Experimenten („Single Cell Genomics“), als Präzisionsinstrument für das detaillierte Verständnis von zum Beispiel Krebs- und Immunsystemerkrankungen (möglicherweise auch als besonderer Schwerpunkt im Zusammenspiel mit den anderen Punkten)
 - Erschaffen neuer algorithmischer Strukturen, die die genetische Vielfalt von Bevölkerungen abbilden („Computational Pan- Genomics“).
 - Durchführung von Lehrveranstaltungen (20 %)
 - Mitarbeit in der akademischen Selbstverwaltung (5 %)

Das genaue Thema kann im Rahmen von individuellen Diskussionen erarbeitet werden. Für weitere Informationen, insbesondere bezüglich des Bewerbungsprozesses, siehe [LINK]


“Job announcement” 

Postdoc position comparative genomics in planarian flatworms

The department of tissue dynamics and regeneration at MPI-BPC ( is offering fully funded postdoc opportunities in comparative genomics of planarian flatworms. Planarians are fascinating animals that can regenerate from tiny pieces, harbor adult pluripotent stem cells, scale their bodies over a wide size range and, as a taxonomic group, display a fascinating spectrum of regenerative abilities, body sizes, reproductive strategies or life expectancies from a few months to seeming immortality. Our group has pioneered planarian high-quality genome assemblies and we have established a large and phenotypically diverse species collection through world-wide field expeditions. Comparative genome mining now promises access to a wealth of intriguing research questions that include the probing of the genomic consequences of asexuality by means of comparisons between the sexually and asexually reproducing strains of S. mediterranea; body size evolution in the giant planarians of Lake Baikal or genomic adaptations to life in the lake’s abyssal zone (~ 1600 m depth); intra-organismal population genomics amongst the many independently replicating pluripotent stem cells or the dynamics and functional relevance of the new class of giant planarian retroelements that we discovered. Positions are available for talented individuals to pursue these or other questions. 

Your Profile 

  •       You have a PhD or equivalent degree in a relevant subject area, e.g., biology, computational biology or computer science and extensive hands-on experience with genomic data. 
  •       You have a proven track record in one or more of the following: genome assembly, multi-genome alignments; comparative genomics; structural genome variance; transposon mobility; cancer or evolutionary genomics; phylogenetics and or population genomics. 
  •       You are passionate about the scientific endeavor and you are not afraid of pursuing your questions beyond the current scientific frontier. 
  •       You are self-motivated and independent and enjoy being part of an international and interdisciplinary work environment. 

 About us 

We are a brand-new department at the Max Planck Institute for Biophysical Chemistry in the historic science town of Goettingen. We represent the organismal end of biophysical chemistry at the institute and investigate the mechanistic and evolutionary underpinnings of planarian regeneration. The department hosts a large zoo of planarian species for comparative analyses and we just established a field station at Lake Baikal in Russia, the Galapagos of planarian biodiversity. We are a thoroughly international and interdisciplinary group of people and based at one of Germany’s premier research campuses. We enjoy generous funding by the Max Planck Society and the proximity to picturesque Goettingen with its bustling student bars. 

 The Position 

The payment and benefits are based on the TVöD guidelines. Contracts are initially for 2 years, with the possibility of extension.



For more information, please contact Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

Please submit your application, including cover letter (explaining background and motivation), CV, transcripts, and publication record preferably via e-mail as one single PDF file to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! 

W2-Professur (m/w/d) Angewandte Bioinformatik [Hochschule Coburg]

Sie sind eine wissenschaftlich ausgewiesene Persönlichkeit mit einschlägiger Expertise in der Bioinformatik und Anwendungs-erfahrung in den Biowissenschaften. In der Lehre sollen die Bereiche der Datenanalyse und -management, Data Mining und Statistik in einem bioanalytischen Kontext vermittelt werden. In der Forschung ergänzen Sie die Expertise des Instituts für Bioanalytik (IBICO).

Wir sind ein engagiertes Team in einer forschungsstarken, national und international vernetzten Fakultät, das in kollegialer und fakultätsübergreifender Zusammenarbeit unser zukunftsweisendes Studienangebot ständig weiterentwickelt.

Sie haben Freude daran, auch in englischer Sprache, Forschung und Lehre in inspirierenden didaktischen Formaten zu verknüpfen?

Wir bieten mit dem IBICO eine hervorragend ausgestattete Infrastruktur für industrieorientierte, drittmittelfinanzierte Forschung.

Sie reizt es, Ihre anwendungsorientierte Erfahrung einzubringen, um das IBICO durch Ausbau des Projektportfolios regional/international weiterzuentwickeln und zu stärken?

Dann freuen wir uns über Ihre Bewerbung auf die ausgeschriebene Stelle!


An der Hochschule Coburg können Sie:


  • Lehre, Forschung und Transfer innovativ verknüpfen,
  • mit Kolleg*innen aus unterschiedlichen Fachdisziplinen an zukunftsrelevanten Themen arbeiten,
  • junge Menschen auf die Berufswelt von morgen vorzubereiten .

    Die Stadt Coburg als Kultur- und Familienstadt und die Genussregion Oberfranken bieten die besten Voraussetzungen für hohe Lebensqualität.

    Die Hochschule fördert ein verstärktes Engagement bei Projekten der angewandten Forschung sowie im Wissens- und Technolo-gietransfer. Die aktive Mitgestaltung der Bioanalytikstudiengänge und weiterer Studiengangskonzepte wird vorausgesetzt. Ebenso sind Aufgaben in der Selbstverwaltung der Hochschule wahrzunehmen.




  • Abgeschlossenes Hochschulstudium, vorzugsweise in der Bioinformatik oder in verwandten Disziplinen
  • Pädagogische Eignung; der Nachweis hierzu ist u.a. durch eine Probelehrveranstaltung zu erbringen
  • Besondere Befähigung zu wissenschaftlicher Arbeit, die durch eine Promotion oder promotionsadäquate Leistungen nach-gewiesen wird
  • Besondere Leistungen bei der Anwendung oder Entwicklung wissenschaftlicher Erkenntnisse und Methoden in einer mindestens fünfjährigen beruflichen Praxis, die nach Ab-schluss des Hochschulstudiums erworben sein muss und von der mindestens drei Jahre außerhalb des Hochschulbereichs ausgeübt worden sein müssen. Der Nachweis der außerhalb des Hochschulbereichs ausgeübten beruflichen Praxis kann in besonderen Fällen dadurch erfolgen, dass über einen Zeitraum von mindestens fünf Jahren ein erheblicher Teil der beruflichen Tätigkeit in Kooperation zwischen Hochschule und außerhochschulischer beruflicher Praxis erbracht wurde.
  • Es ist beabsichtigt, Sie bei Vorliegen der beamtenrechtlichen Voraussetzungen in ein Beamtenverhältnis auf Probe/Lebenszeit zu berufen. In das Beamtenverhältnis kann berufen werden, wer das 52. Lebensjahr noch nicht vollendet hat.


Bewerbungen von schwerbehinderten Menschen im Sinne des § 2 i.V.m. § 68 SGB IX werden bei sonst im Wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt.


Die Hochschule Coburg hat sich die berufliche Förderung von Frauen zum Ziel gesetzt und begrüßt deshalb ausdrücklich Bewerbungen von Frauen.




Auskünfte zur Ausschreibung können über das Sekretariat der Fakultät Angewandte Naturwissenschaften Tel. 09561 317-283 bzw. bei Prof. Dr. habil. Matthias Noll, Tel. 09561 317-645, E-Mail: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! eingeholt werden.






Weitere Stellenangebote







Bioinformatician on Genomics of Ageing

The Institute of Molecular Biology gGmbH


funded by the Boehringer Ingelheim Foundation


is recruiting a

Bioinformatician on Genomics of Ageing




The Institute of Molecular Biology (IMB) is a Centre of Excellence for Life Sciences, funded by the Boehringer Ingelheim Foundation, and located at the campus of the Johannes Gutenberg University in Mainz, Germany. The Bioinformatics Core Facility supports IMB researchers in the computational analysis of NGS and other “omics” data generated in the course of research projects. We are looking for a highly motivated Bioinformatician (m/f/d) to join our Core Facility team and establish a platform for analysis of biological ageing using diverse omics datasets.


You will:

·         Support biomedical scientists in Mainz in the planning, analysis, interpretation and publication of diverse NGS and other omics data sets in the context of aging research

·         Contribute to the development of bioinformatics workflows and pipelines

·         Provide bioinformatics consulting and software training to junior researchers


Required qualifications:

·         University degree or postgraduate training in computational biology / bioinformatics

·         Extensive and broad experience in the computational analysis of omics data

·         Solid programming skills and familiarity with Linux compute clusters

·         Sound knowledge of statistics, version control and R / Bioconductor

·         Strong interpersonal and communication skills, proficiency in English


Desirable qualifications:

·         Knowledge of software engineering and bioinformatics pipelines

·         Experience in interdisciplinary collaborations or bioinformatics services


We offer:

·         Stimulating, diverse and international research environment

·         Flexible working hours and advanced training opportunities

·         Favourable pension scheme


To apply, please send a single PDF file containing your cover letter, CV, certificates and contact information of at least two professional references quoting Ref. No. CFBIO15 to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!. IMB is an equal opportunity employer.


Starting Date:  as soon as possible

Duration:   initial contract for two years with an option for permanent employment

Application  Deadline:  September 1st 2020

Declaration of Consent and Data Protection

By sending us your application, you are consenting to us saving your personal data in order to carry out the selection process. You can find more information on data protection and retention periods at

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