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Postdoctoral Position in Vienna (Systems Biology | Network Medicine | Bioinformatics)

The Boztug Lab at CeMM in Vienna is searching for a motivated postdoctoral fellow for a project within a productive scientific collaboration with the Menche Lab at CeMM. We joined forces to realize an ambitious project at the intersection of rare disease genetics, network biology and precision medicine that has the potential to have a lasting impact on each of these three fields.

The Project — There are more than 7,000 rare diseases and collectively they affect around 5% of the population. Many of them are caused by single-gene defects and thereby offer unique opportunities to establish clear mechanistic genotype-phenotype relationships. To establish the precise molecular mechanisms by which individual gene aberrations perturb cellular networks, systems biology approaches will be instrumental. Rare diseases thus have extraordinary potential to serve as a paradigm for precision medicine that bridges the gap between wholistic, systems based analyses and actionable insights for personalized therapy. The overarching goal of the joint project is to rationalize patient-specific workflows from gene discovery and underlying pathomechanisms to targeted therapy. The project lead by Kaan Boztug will focus on using network biology to more efficiently identify novel disease etiologies underlying immunodeficiencies and to systematically dissect rare disease clusters to compare to more common immune disorders and to predict drug responses. The project will also involve the development of multi-layer network approaches to integrate diverse genomic data into a predictive platform for personalized medicine. This research project is funded by WWTF (

The Research Groups — Kaan Boztug ( is a leading immunologist and rare diseases researcher and director of the newly founded Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases (LBI-RUD). His lab is interested in the genetics of rare primary immunodeficiencies and rare diseases of hematopoiesis with a special focus on disorders with autoimmunity and/or autoinflammation (Dobbs et al., NEJM 2015; Salzer et al., Nat Immunol 2016). His goal is to identify targets for tailored molecular therapies and to develop precision medicine approaches for diagnostics and treatment. His group applies a combination of state-of-the-art genomic technologies including next generation sequencing, a wide range of cellular and molecular techniques and innovative systems biology to elucidate novel pathways important for hematopoiesis and immune system homeostasis, to make a real impact by translating concepts and tools to the clinic. Jörg Menche ( leads a newly established computational network medicine group and is an expert in analyzing large datasets derived from post-genomic technologies through the lens of network science (Menche et al., Science 2015).

The Institute ( — CeMM is a flagship institute for biomedical research in the heart of Europe, Vienna. We are committed to highest scientific standards as exemplified by recent publications in top journals including Nature, Science and Cell. CeMM offers a uniquely dynamic, interactive and international environment and is located in a beautiful building at the center of the Medical University campus, within walking distance of Vienna’s historical city center. CeMM has been ranked among the top-5 best places to work in academia (

Vienna is frequently ranked the world’s best city to live in. It is a United Nations city with a large English-speaking community. The official language at CeMM is English, and more than 40 different nationalities are represented at the institute.

We are convinced that diversity and a multicultural work environment are clear advantages for successful research and are committed to attract, develop, and advance the most talented individuals regardless of their gender, race, sexual orientation, religion, age, disability status or any other dimension of diversity.

Why you want to join our team:

·         You want to pursue meaningful research projects at the highest level in an inspiring and international working environment.

·         You want to be part of the next generation of scientists that shape the future of medicine and value our numerous possibilities for personal and professional growth.

·         You appreciate our young and dynamic working atmosphere and the possibility to join our cultural, social and sports activities.

·         We are happy to provide help and assistance to all our employees, their spouses and family members in terms of visa and relocation procedures, dual-career and childcare services, and others.

·         You wish to receive a competitive salary: your position will be remunerated according to FWF personnel costs ( depending on qualifications and experience.

Why we want you to join our team:

·         You are a proactive and independent thinker with a background in Bioinformatics, Systems or Network Biology, Complex Systems, or similar.

·         You are enthusiastic and passionate about science.

·         You are motivated to find innovative, creative and free-spirited solutions to open research questions.

·         You love to communicate, to collaborate, to connect different scientific disciplines and to contribute to multidisciplinary and multicultural teams.

Application Details — Please apply online (  with a cover letter describing your career goals and explaining why you are the ideal candidate for this position, your detailed curriculum vitae and contact details of 2-3 referees. Please upload your full application here:

Ideally, you should please submit one Pdf file containing all of your application documents. Initial application deadline is 4th of August 2017 but the call will remain open until the position is filled. Candidates will be contacted by us on a rolling basis.


Dezernent/in Bioinformatik [Landesamt für Verbraucherschutz Sachsen-Anhalt]

Im Landesamt für Verbraucherschutz Sachsen-Anhalt, Fachbereich Lebensmittelsicherheit, ist am Standort Halle zum nächstmöglichen Termin ein Arbeitsplatz als

Dezernent/in Bioinformatik im Dezernat 31 „Tierische Lebensmittel“

befristet für 2 Jahre zu besetzen.

Der Fachbereich Lebensmittelsicherheit im Landesamt für Verbraucherschutz Sachsen-Anhalt erfüllt die gesetzlichen Aufgaben der amtlichen Untersuchung und sachverständigen Beurteilung von Lebensmitteln, Bedarfsgegenständen, Kosmetika und Tabakwaren im Auftrag der obersten Landesbehörden des Landes Sachsen-Anhalt.

Das Aufgabengebiet umfasst:
- Bioinformatische Analyse von NGS-Daten auf den Gebieten der Lebensmittelhygiene, der Tierseuchen- und Humandiagnostik inklusive Molekularepidemiologie (z. B. Clusteranalysen)
- Installation und Administration der zum NGS gehörenden IT-Infrastruktur (Server)
- Schulung und Unterstützung des vorhandenen Personals bei der NGS-Datenauswertung
- Sachverständigentätigkeit/Gutachtenerstellung

Konstitutive Anforderungen an die Bewerberin/den Bewerber:
- naturwissenschaftliches Hochschulstudium (Diplom, Master oder vergleichbarer Abschluss) der Fachrichtungen Bioinformatik oder Informatik

Wünschenswerte Anforderungen an die Bewerberin/den Bewerber:
- sehr gute Kenntnisse der Installation und Konfiguration von Linux-Servern
- sehr gute Kenntnisse der Installation und Konfiguration von Linux-Software
- sicherer Umgang mit Script-Sprachen und den zugehörigen Tools (z.B. bash, sed, awk, …)
- Kenntnisse über HPC (high-performance computing)
- Erfahrungen und sicherer Umgang mit Workflowmanagementsystemen (z. B. Snakemake)
- Grundkenntnisse in der Anwendung von Software zur Auswertung von NGS-Daten einschließlich Clusteranalysen und grafischer Aufbereitung der Ergebnisse
- Grundkenntnisse in relevanten Programmiersprachen (z. B. Python, Perl, R)
- Grundkenntnisse im Umgang mit Datenbanken (MS-SQL-Server, MySql)
- Gute Englischkenntnisse
- Hohe Einsatzbereitschaft und Stressstabilität
- Durchhaltevermögen
- Möglichst Grundkenntnisse über molekularbiologische Nachweisverfahren(PCR, real-time PCR; DNA-Sequenzierung)
- Möglichst Erfahrung in neuen molekularen Technologien, wie Next Generation Sequencing

Vergütungsgrundlage ist der TV-L (Tarifgebiet Ost).
Die Eingruppierung erfolgt nach Entgeltgruppe 13.

Die Befristung des Arbeitsvertrages erfolgt nach § 14 Abs. 2 Teilzeit- und Befristungsgesetz. Die Ausschreibung richtet sich daher ausschließlich an Personen, die bisher weder in einem befristeten noch unbefristeten Arbeitsverhältnis mit dem Land Sachsen-Anhalt gestanden haben bzw. das Beschäftigungsverhältnis mehr als drei Jahre zurückliegt. Ausbildungszeiten stellen kein Arbeitsverhältnis in diesem Sinne dar.

Schwerbehinderte Menschen oder ihnen gleichgestellte Bewerberinnen und Bewerber werden bei gleicher Eignung und Befähigung bevorzugt berücksichtigt.

Ihre schriftliche Bewerbung mit tabellarischem Lebenslauf, Qualifikationsnachweisen sowie aussagefähigen Beurteilungen/Arbeitszeugnissen senden Sie bitte bis zum 14.07.2017 an folgende Adresse:
Landesamt für Verbraucherschutz Sachsen-Anhalt
Dezernat 11 – Personal
Stichwort: Bioinformatiker/in
Kühnauer Straße 70
06846 Dessau-Roßlau
Onlinebewerbungen sind nicht zugelassen.

Bewerbungskosten werden nicht erstattet. Die Unterlagen werden nur zurückgesandt, wenn ein ausreichend frankierter Rückumschlag beigefügt ist. Ansonsten werden die Unterlagen nicht berücksichtigter Personen nach Ablauf von drei Monaten nach ihrer Benachrichtigung über die Auswahlentscheidung vernichtet.

Weitere Informationen erteilen Herr Dr. Räbel (Tel.: 0340/6501-101), Herr Prof. Dr. Mäde (Tel.: 0345/5643-313) oder Herr Lenze (Tel.: 0340/6501-170).

Research Scientists Bioinformatics (m/f) [University Medical Center Hamburg-Eppendorf]

The University Medical Center Hamburg-Eppendorf is seeking scientists to join its Bioinformatics Core group. The group aims at supporting research and diagnostics throughout the UKE and related institutes by providing a comprehensive range of Bioinformatics services. Its main focus is on the analysis of high-throughput sequencing (NGS) data.

Main tasks:
- Analysis of high-throughput sequencing (NGS) data
- Development of workflows and tools for sequence data processing
- Consultation on issues of sequencing and sequence data analysis

Candidate profile:
- Successfully completed studies in Bioinformatics, Biostatistics or in a closely related scientific subject
- Good command of Linux and at least one of the following programming languages: Ruby, R, Python, Java, Perl
- Good oral and written communication skills; in particular good knowledge of English
- Ability to clearly explain methods and results to scientist of other disciplines
- Desirable skills: competent handling of various sequence data, good understanding of statistical methods and their application to large data sets, familiarity with workflow management systems, and knowledge of machine learning techniques

Appointments are made for an initial period of two years with possibility of extension. Salary is set according to scale E13 TV-KAH.

We offer a work environment which provides equal opportunities regardless of age, gender, sexual identity, disability, origin or religion. This commitment is confirmed by signing the “Diversity Charter of German Companies”. We explicitly strive for an increased proportion of women in leading positions, particularly for employees in research and education. Female applicants will be treated preferentially in case of equivalent qualification. The same applies in case of minor representation of a certain gender in the advertising section. Applicants with severe disability will be treated preferentially in case of equivalent suitability, qualification and professional performance.

We look forward to receiving your application by June 19th 2017.

Please send your complete application to: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!, reference number: 2017-260

For further information please contact Malik Alawi (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!) or Dr. Anne Wulf (+49(40)7410 53041)

2 PhD Students: Graph Representations for Genome Annotation [University of Greifswald]

The University of Greifswald´s Institute for Mathematics and Computer Science offers subject to the budgetary authority for the period from 01/02/2018 limited for 30 months two part-time positions (50 %) as a Research Assistant.

Payment will be made according to pay group 13 TV-L Wissenschaft if the personal and pay group specific qualifications can be provided.

The project "Scalable Genome Graph Data Structures for Metagenomics and Genome Annotation" is funded by the Swiss National Science Foundation (SNF) and will be carried out in close collaboration with project partners at the ETH Zürich. The aim is to design and implement a distributed graph data structure that can be used to efficiently encode thousands of genome sequences. The k-mer based data structure can be efficiently used as an alignment target for high throughput sequencing reads. One important application of the graph and aim of the applicants project is the accurate gene structure annotation of closely related species, e.g. of vertebrate clades, by taking phylogenetic relationships into account and using the graph.

There position at University of Greifswald advertised here is associated with another position at ETH Zürich in the group of Prof. Dr. Gunnar Rätsch. The candidate will be able to begin working on this project at ETH Zürich starting in or after August 2017 for up to six months, regulated by a separate contract. Within the group of Prof. Gunnar Rätsch, the core data structure and algorithms are being developed.
Job Description: One major task is the development and implementation of efficient methods to extract syntenic (homologous) regions from the graph. This could be via the identification of "bundles" of paths through the graph that represent homologous regions of different genomes that share many k-mers. Another major task is the development and implementation of a multi-species gene annotation algorithm directly utilizing the graph structure and its attached taxonomic annotation and building on top of the AUGUSTUS code base.

Job Specification:
The candidate shall have a Master of Science or "Diplom" in Bioinformatics, Biomathematics, Mathematics, Computer Science or a related field. She or he must have experience in the implementation of efficient algorithms for large data. In particular, experience in C++ in a Linux environment is desired. He or she should have a good knowledge of tools for sequence analysis and molecular evolution, both in practice and on the algorithmic background.
The University would like to increase the proportion of women in areas in which they are underrepresented and thus applications from women are particularly welcome and will be treated with priority if they have the same qualifications and as long as there are no clear reasons which make a fellow applicant more suitable.
Severly disabled applicants with the same qualifications will be considered with preference.

This announcement is directed at all persons, no matter which gender.
The costs for applying cannot be reimbursed by the state of Mecklenburg-Vorpommern.
The complete application should be e-mailed by 18th June 2017 with reference of the job advertisement Number 17/Sa11 to Prof. Dr. Mario Stanke: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!


PhD Position in Cheminformatics [Universität Hamburg]

A Ph.D. position (3 years, fixed term) in cheminformatics is immediately
available in the research group of Professor Johannes Kirchmair at the
University of Hamburg, Center for Bioinformatics
(, for a joint industry project with
Beiersdorf AG. The Ph.D. student will be employed by HITeC e.V., the
cooperation partner of the University of Hamburg in this project. The
Ph.D. position is remunerated according to the salary level TV-L 13 and
calls for 50% of standard work hours per week. The term is fixed for a
period of three years.

The project is focused on the development and application of
computational approaches for the prediction of the physicochemical and
biological properties of bioactive small molecules, with emphasis on
statistical and machine learning approaches.

Interested candidates should possess a Master’s degree in
cheminformatics, chemistry, bioinformatics or a related field. A solid
background in chemistry is mandatory. Knowledge of quantum chemistry,
toxicity and biochemistry is advantageous. Familiarity with machine
learning and statistical methods, Python, Java, R and Linux is desirable
but not essential. Excellent communication skills in English are a
requirement. German language skills are advantageous but not essential.

Your application should include a motivation letter, CV, copies of
university certificates and the contact details of at least two academic
references. Please send your application preferably by email to

Prof. Dr. Johannes Kirchmair
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
Universität Hamburg
MIN Faculty
Center for Bioinformatics
Bundesstrasse 43
20146 Hamburg

The evaluation of candidates begins immediately and will continue until
the position is filled.

Ph.D. Student position [Code: P.S. DP3]

At the Max Planck Institute of Psychiatry, clinicians and scientists are working in close cooperation on the causes of complex diseases of the brain and searching
for new ways of their treatment. For this, besides a modern clinic with all facilities and equipment required for patient care and research, there are well equipped
laboratories available. Here, neurobiological research methods, from behavioral studies to molecular genetics can be applied. The aim is, to optimize the benefit of
research for the patients by way of close and innovative networking of basic research oriented and clinical neuroscience.

The Max Planck Institute of Psychiatry, Munich, Germany is one of the leading research institutes worldwide working on the neurobiology of psychiatric disorders
based on a truly translational approach, combining both clinical and basic research.

The mission of the lab for Genomics of Complex Diseases (PI: Dr. Ziller) is to develop and apply novel strategies to dissect the genetic and epigenetic basis of
complex genetic disorders. Our research is focused on the question how many genetic and environmental risk factors act in concert to create a permissive
molecular environment that fosters the emergence of psychiatric and immune diseases such as schizophrenia or diabetes.

We are searching for a highly motivated
Ph.D-student (m/f) [Code: P.S. DP3]

In order to address this complex problem, we employ a highly interdisciplinary, integrative biology approach that utilizes pluripotent stem cell based neural
differentiation paradigms, patient specific iPSCs, functional (epi-)-genomic approaches (ChIP-Seq, sc-RNASeq, high-throughput screening assays) and
computational modeling strategies. The Ziller lab is part of the Department of Translational Psychiatry at the Max Planck Institute for Psychiatry in the heart of
Munich, Germany. The overall goal of the Department is to dissect the molecular mechanisms underlying psychiatric diseases and then rapidly utilize these insights
to develop new therapeutic approaches in a knowledge driven fashion.

We are looking for a motivated PhD student in bioinformatics/computational biology to develop and apply new methods for integrative data analysis of multi-omic
datasets, including genetic, epigenomic and single cell RNA-Seq data in order to better understand the molecular basis complex diseases. The successful
candidate will have a solid background in math and computer science (e.g. master degree) as well as good programming skills. Excellent communication skills are
required as many projects involve close collaboration with team members in the wet-lab. The initial appointment is for 3 years with the possibility for extension.

To apply, please provide: (1) a cover letter expressing research interests, along with a brief summary of your previous projects, including applied techniques; (2) a
complete CV, and; (3) contact information for at least two references. For inquiries, please contact Dr. Ziller directly: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
The job is terminated for three years.

Women are especially encouraged to apply and handicapped applicants with equal qualifications will be given preferential treatment.
For additional information on the Max Planck Institute and its research groups, please contact
We look forward to your Online-Application.




PhD Position: DNA from the coding perspective

The Project Group of Dr. Sobetzko, which is part of the Department of Chromosome Biology (Prof. Dr. Torsten
Waldminghaus), is looking for a

Research Assistant (PhD Position).

The position is a part-time position (65 % of a full-time position) and is embedded into the DFG-funded project
„DNA from the coding perspective“. Salary and benefits are according to a public service position in Germany (TV-H E 13, 65 %). The position is available at the soonest date possible and the duration is limited to three years.

The Project is dedicated to explore bacterial global gene regulation in the model organism Escherichia coli, focusing on the impact of the chromosomal context on the time course of global gene expression. Beside comparative genomics analyses also RNA-seq and DNA-seq data of modified and evolved strains shall be determined and
exploited. Optionally, additional experimental data can be acquired by wet lab work. Furthermore, the candidate
shall be trained to professionally present results and hypotheses within SYNMIKRO and on international conferences and workshops.
The successful candidate must hold a MSc, Diploma or related certificate in Bioinformatics or a comparable discipline and should be trained in at least one computer language (e.g. Java or Python). Knowledge in analyzing transcriptomics data and experience in statistics using R or MatLab are highly welcome as well as records in the disciplines of microbiology and genetics, however, the latter can be learned concurrently while working within the
project group.

For informal project enquiries please contact Dr. Sobetzko Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!.
Please send your application mentioning registration number ZE-0051-synmikro-wmz-2017 and including a
letter of motivation, CV, copies of relevant certificates and names and affiliation of two academic referees electronically as a single pdf to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!. Deadline: June 9th, 2017.

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

For the complete advertisement, please see:


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.


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 ( and the Max Planck Institute of Molecular Physiology ( 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.


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
Dortmund, 12.05.2017

Links: PhD Candidate Position -

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!

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 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.