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Wissenschaftlicher Mitarbeiter (w/m) im Bereich Bioinformatik [Westfälische Wilhelms-Universität, Kennziffer 01694]

Wir suchen:

 

Im Rahmen der DFG-geförderten klinischen Forschergruppe "Male Germ Cells" am Institut für Medizinische Informatik der Westfälischen Wilhelms-Universität (Direktor: Prof. Dr. Martin Dugas) zum nächstmöglichen Zeitpunkt zunächst befristet auf 3 Jahre mit der Möglichkeit der Verlängerung einen

 

Wissenschaftlicher Mitarbeiter (w/m) im Bereich Bioinformatik
Kennziffer 01694

 

vollzeitbeschäftigt mit 38,5 Wochenstunden 
Verg.  je nach Qualifikation und Aufgabenübertragung bis zu TV-L E 14

 

In dem Teilprojekt „Male Germ Cells: from Genes to Function“ beschäftigen sich Wissenschaftler aus sieben verschiedenen Kliniken und Einrichtungen der Universität Münster mit den Ursachen zur Infertilität des Mannes. Ziel ist es, die Zahl der Männer ohne Diagnose für ihre Unfruchtbarkeit zu halbieren.
In Zusammenarbeit mit dem Institut für Humangenetik (Prof. Dr. Frank Tüttelmann) sollen mit Hilfe bioinformatischer Methoden genetische Unterschiede und deren Auswirkungen auf die Zeugungsfähigkeit untersucht werden. Ein Workflow zur integrierten Analyse von OMICs-Daten soll implementiert werden. Weitere Informationen zum Projekt sind zu finden unter:
http://male-germ-cells.de

 

Ihr Profil:

 

  • Abgeschlossenes Hochschulstudium der Bioinformatik, Medizinischen Informatik, Mathematik oder Statistik
  • Interesse für Auswertung genomischer Daten
  • Idealerweise Erfahrung mit „Next Generation Sequencing Data“-Analysen
  • Sehr gute Programmierkenntnisse in mind. einer Sprache (R und/oder Java)
  • Sehr gute Englischkenntnisse
  • Verantwortungsbewusstes, kollegiales und ergebnisorientiertes Arbeiten
  • Hohe Motivation und Leistungsbereitschaft

 

Wir bieten Ihnen einen attraktiven, anspruchsvollen Arbeitsplatz in einem aufgeschlossenen, interdisziplinären Team sowie eine sehr gute Arbeitsatmosphäre. Bei Vorliegen der entsprechenden Voraussetzungen besteht die Möglichkeit zur Promotion bzw. Habilitation.

 

Weitere Informationen zum Institut für Medizinische Informatik (IMI) finden Sie unter:
http://imi.uni-muenster.de.

 

Bei Rückfragen wenden Sie sich bitte an:
Herrn Prof. Martin Dugas, Tel.: 0251 83-55261 (
martin.dugas(at)­ukmuenster(dot)­de) oder an Herrn Prof. Frank Tüttelmann, Tel.: 0251 83-55411 (frank.tuettelmann(at)­ukmuenster(dot)­de).

 

Wir freuen uns auf Ihre Bewerbung und bitten Sie, diese unter Angabe der Kennziffer bis zum 08.02.2018 an die Verwaltung des Universitätsklinikums Münster, Albert-Schweitzer-Campus 1, Gebäude D5, 48149 Münster oder bewerbung(at)­ukmuenster(dot)­de zu senden.

 

Das UKM unterstützt die Vereinbarkeit von Beruf und Familie und ist daher seit 2010 als familienbewusstes Unternehmen zertifiziert. Es besteht grundsätzlich die Möglichkeit der Teilzeitbeschäftigung. Die Bewerbung von Frauen wird begrüßt; im Rahmen der gesetzlichen Vorschriften werden Frauen bevorzugt eingestellt. Schwerbehinderte werden bei gleicher Eignung besonders berücksichtigt.

Links http://klinikum.uni-muenster.de/index.php?id=3290&tx_ttnews%5Btt_news%5D=7738&cHash=78948aaae8ef8a81fd82bab6928cdd47

Project Manager - Heidelberg Center for Human Bioinformatics (HD-HuB)

 

Location:

Heidelberg, Germany

Staff Category:

Staff Member

Contract Duration:

2 years (part-time)

Grading:

5

Closing Date:

31 January 2018

Reference Number:

HD_01222

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 Barcelona (Spain), Grenoble (France), Hamburg (Germany), Hinxton near Cambridge (UK), Rome (Italy).

 

The Bork Group and Zeller Team are seeking a project manager to coordinate joint activities between several research groups at EMBL, the German Cancer Research Center DKFZ and Heidelberg University towards bioinformatics service provision in an inter-institutional centre called HD-HuB. HD-HuB is committed to establishing a high-quality service platform in human bioinformatics which comprises software tools, analysis pipelines, cloud infrastructures and training courses on general and application-specific bioinformatics skills. HD-HuB is part of the German network for bioinformatics infrastructure (de.NBI) and the European ELIXIR network.

The postholder will:

  • establish personal interactions with scientists and bioinformaticians from EMBL research groups (Bork, Zeller, Huber, Korbel) and HD-HuB partners from DKFZ and HD University and coordinate local activities with scientific and administrative personnel from the de.NBI and ELIXIR networks;

  • support the management of HD-HuB with planning, reporting, outreach and communication activities;

  • proactively coordinate with various stakeholders (consortium partners, de.NBI administration, funding bodies) and execute his/her tasks in a careful, independent and forward-looking manner;

  • help to maintain shared project documentation and support (also financial) grant reporting;

  • plan and organize training courses, workshops and other events;

  • contribute to content maintenance of the HD-HuB web portal;

  • actively take part in initiatives seeking to acquire funding for sustained bioinformatics service provision.

This position is ideally suited for an applicant who:

  • likes to make a distinct contribution to planning and execution of cutting edge bioinformatics projects by written, visual and verbal communication and coordination of activities across research groups and institutions;

  • thinks strategically while steering day-to-day activities towards the common goal of providing world-class bioinformatics service;

  • enjoys networking with researchers from various areas within computational biology;

  • is looking for a part-time position with diverse responsibilities in a young dynamic team immersed in EMBL’s collaborative, interdisciplinary, and culturally diverse research environment.

Qualifications and Experience

Essential qualifications:

  • MSc in computational biology, bioinformatics, computer science, biology or a related field. Further research experience (e.g. PhD) is considered a plus;

  • excellent interpersonal and communication skills as well as proficiency in English and German (both written and verbal);

  • effective organizational, multi-tasking and time-management skills with prior experience in organizing courses, workshops or conferences and/or in managing larger collaborative research projects (or similar);

  • experience in grant writing and reporting (including budgeting aspects);

  • strong working knowledge of MS Office.

 Optional qualifications:

  • formal qualifications and/or work experience in scientific project management are considered a strong advantage;

  • experience with content management systems and/or basic web development skills

  • visual communication skills. 

Application Instructions

Please apply online through www.embl.org/jobs

Additional Information

Fur more information, contact: Georg Zeller (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!)  

 

EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation with a very collegial and family friendly working environment. The remuneration package comprise a competitive salary, a comprehensive pension scheme, medical, educational and other social benefits, as well as financial support for relocation and installation, including your family.


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

 

 

 

Wissenschaftliche Mitarbeiterin oder wissenschaftlicher Mitarbeiter im Bereich Bioinformatik [Tierärztliche Hochschule Hannover]

Am Institut für Tierzucht und Vererbungsforschung der Tierärztlichen Hochschule Hannover sind ab dem 01. März 2018 zwei Stellen als

wissenschaftliche Mitarbeiterin oder wissenschaftlicher Mitarbeiter im Bereich Bioinformatik

mit 50% der vollen Arbeitszeit zu besetzen. Die Stellen sind auf drei Jahre befristet. Die Anfertigung einer Promotion wird ausdrücklich erwünscht.

Aufgaben sind die die Mitarbeit in den Forschungs- und Lehraktivitäten der Arbeitsgruppe „Genomics and Bioinformatics of Infectious Diseases“. Dazu zählen vor allem die Weiterentwicklung von bioinformatischen Methoden für die Analyse von High-Throughput-Sequenzdaten und High-Throughput-Genexpressionsdaten (NGS-, Microarrays-Daten) aus dem Bereich der Infektionsforschung. Darüberhinaus sollen die Stelleninhaber in den weiteren Lehrveranstaltungen des Instituts mitwirken.

Voraussetzung für eine Bewerbung ist ein abgeschlossenes wissenschaftliches Hochschulstudium in Bioinformatik, Biostatistik, Molekularbiologie oder einem vergleichbaren Fach. Darüberhinaus werden Kenntnisse in Scriptsprachen zur Anwendung unter Linux und in der Programmierumgebung R erwartet.

Die Vergütung erfolgt nach E 13 TV-L.

Schwerbehinderte Bewerberinnen und Bewerber werden bei gleicher Eignung vorrangig berücksichtigt.

Aussagekräftige Bewerbungen werden per E-Mail (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!) bis spätestens 11.02.2018 erbeten an Herrn Prof. Dr. Klaus Jung, Institut für Tierzucht und Vererbungsforschungs, Tierärztliche Hochschule Hannover.

A PhD Candidate in Structural Bioinformatics/Computer-Aided Drug Design

The in silico toxicology and structural bioinformatics group, Charité – Berlin, is looking for:

A PhD Candidate in Structural Bioinformatics/Computer-Aided Drug Design

The in silico toxicology and structural bioinformatics group (AG Volkamer) at the Institute of Physiology, Charité Universitätsmedizin Berlin, is searching for a PhD candidate starting as soon as possible (1.2.2018). We are a young, energetic and interdisciplinary research group with focus on development of structure-based methods for computer-aided drug design and risk assessment. We are especially interested in the computer-aided prediction of on- and off-target effects considering ligand- and structure-based structural and physicochemical properties. The developed methods are applied for rational design of more selective and less toxic substances, especially in the context of cancer research.

Research topic
How to probe and validate a potential pathway or target remains one of the key questions in basic research in life sciences. Often these investigations lack suitable chemical tool compounds for the elucidation of the function of a specific protein. We aim to provide a novel computational workbench to help the identification of such tool compounds. In this context, we offer a 3-year DFG-funded PhD position working on an exciting computer-aided drug design project with focus on binding site similarity using the ever-growing amount of available protein structures.

Requirements
The PhD candidate has (or will receive in the near future) a master’s degree in life sciences, e.g., bioinformatics, (bio)pharmaceutical and computer sciences, or equivalent with excellent scientific degree. The candidate should have good multidisciplinary team working and communication skills. Affinity with computational sciences (especially programming skills) and structural bioinformatics, experience with UNIX/Linux operating systems, databases as well as web design are advantageous benefits.

Application
Candidates are invited to send an application including:
• a cover letter explaining your motivation, background, and qualifications for the position
• a detailed Curriculum Vitae (including a list of publications if any)
• contact information of two reference persons
• copies of diplomas and a list of your courses taken and grades
Please send your application to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!.

Postdoc Position Data Science at the Pharmacoinformatics Research Group in Vienna

The University of Vienna (15 faculties, 4 centres, about 174 fields of study, approx. 9.500 members of staff, more than 94.000 students) seeks to fill the position from 01.01.2018 of a University Assistant (post doc) at the Department of Pharmaceutical Chemistry. The candidate should have an excellent track record in the field of data science and ideally also systems modelling. The candidate will be embedded in a very ambitious international research team. We expect active interaction with the partners of the IMI projects TransQST and eTRANSAFE, as well as the H2020 project “EU-ToxRisk”

Duration of employment: 1 year (with the possibility of extension up to 4 years depending on performance)

Extent of Employment: 40 hours/week
Job grading in accordance with collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) with relevant work experience determining the assignment to a particular salary grade.

Areas of work:

Your areas of responsibility include the scientific support of our projects related to toxicity prediction, with special focus on data science and systems modeling. We also expect design and execution of own research projects in the field of pharmacoinformatics, as well as the publication of results in international peer-reviewed journals. Furthermore, we expect your collaboration in already ongoing projects in the team and your participation in teaching.

Profile:

- PhD in the field of Sciences

- Excellent knowledge in the field of data science

- Programming knowledge in at least one language (preferentially Python) and/or knowledge of workflow management systems (KNIME/Galaxy/Taverna)

- Documented publication activity in peer-reviewed journals

- Excellent command of English language

- High ability to cope with pressure

- Good team-working ability

- Ability to publish and present in English

- data science, systems modelling

Applications including a letter of motivation (German or English) should be sumbitted via the Job Center to the University of Vienna (http://jobcenter.univie.ac.at) no later than 07.01.2018, mentioning reference number 8145.

The University pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity (http://diversity.univie.ac.at/). The University lays special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants.

 

Postdoc Position Deep Learning at the Pharmacoinformatics Research Group in Vienna

The University of Vienna (15 faculties, 4 centres, about 174 fields of study, approx. 9.500 members of staff, more than 94.000 students) seeks to fill the position from 01.01.2018 of a University Assistant (post doc) at the Department of Pharmaceutical Chemistry. The candidate should have an excellent track record in the field of machine learning, ideally in the life science domain. The candidate will be embedded in a very ambitious international research team. We expect active interaction with the partners of the IMI projects eTRANSAFE, as well as the H2020 project “EU-ToxRisk”.

Duration of employment: 1 year (with the possibility of extension up to 4 years depending on performance)

Extent of Employment: 40 hours/week
Job grading in accordance with collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) with relevant work experience determining the assignment to a particular salary grade.

Job Description:
Your areas of responsibility include the scientific support of our projects related to toxicity prediction, with special focus on machine learning, deep learning, and artificial intelligence. We also expect design and execution of own research projects in the field of pharmacoinformatics, as well as the publication of results in international peer-reviewed journals. Furthermore, we expect your collaboration in already ongoing projects in the team and your participation in teaching.


Profile:
- PhD in the field of Sciences

- Excellent knowledge in the field of machine learning, with special focus on deep learning

- Programming knowledge in at least one language (preferentially Python) and/or knowledge of deep learning/AI frameworks (TensorFlow, PyTORCH, …)

- Documented publication activity in peer-reviewed journals

- Excellent command of English language

- High ability to cope with pressure

- Good team-working ability

- Ability to publish and present in English

- machine learning, deep learning

Applications including a letter of motivation (German or English) should be sumbitted via the Job Center to the University of Vienna (http://jobcenter.univie.ac.at) no later than 07.01.2018, mentioning reference number 8146.


The University pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity (http://diversity.univie.ac.at/). The University lays special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants.

Exciting Positions in CeMM International PhD Program in Molecular Medicine in Vienna, Austria

The next PhD Program at CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna will start in October 2018. We offer 15 fully funded PhD positions and are looking for exceptionally motivated PhD candidates with a keen interest in genomics, medicine and interdisciplinary teamwork.

 The 2018 CeMM PhD Program will focus on the thematic areas of Infection, Immunity, Metabolism, Cancer and Network Medicine. These areas are built on the pillars of epigenetics and genome integrity, bioinformatics and systems biology, chemical biology, high-throughput genetics, genomics and proteomics, and molecular and cell biology.

 CeMM is an international research institute of the Austrian Academy of Sciences. The mission of CeMM is to achieve maximum scientific innovation in molecular medicine to improve healthcare. At CeMM, an international and creative team of scientists and medical doctors pursues free-minded, basic life science research in a large and vibrant hospital environment of outstanding medical tradition and practice. CeMM operates in a unique mode of super-cooperation, connecting biology with medicine, experiments with computation, discovery with translation, and science with society and the arts. The goal of CeMM is to pioneer the science that nurtures the precise, personalized, predictive and preventive medicine of the future.

CeMM is located at the center of one of the largest medical campuses in Europe, within walking distance to Vienna’s historical city center. Vienna is repeatedly ranked as the world’s best city to live in and is a United Nations city with a large international, English-speaking community. The official language at CeMM is English, and more than 40 different nationalities are currently represented at the institute.

The successful candidates will be awarded a generous scholarship, which covers all research costs, university fees, work-related travel expenses, salary and health insurance for 4 years. The PhD degree will be awarded by the Medical University of Vienna.

Eligibility

To be eligible to enroll in the CeMM PhD Program, all candidates are required to have a final degree (minimum requirement is a four-year Bachelor’s degree) in medicine, biology, chemistry, bioinformatics, computer science, engineering, physics, mathematics or a similar subject. The working language at CeMM is English, i.e. excellent written and oral communication skills in English are mandatory.

Apply now!

The application deadline is 2nd February 2018.

For further information about the PhD Program, and to apply through the online system, please refer to our website:

www.cemm.at/phd-program

 

Max Planck Institute EVA Leipzig: Computational population genetics

A PhD student and a postdoc position in

COMPUTATIONAL POPULATION GENETICS

are available in the newly founded research group of Benjamin Peter at the Max-Planck Institute for Evolutionary Anthropology in Leipzig. Our main research goal is to develop and apply population genetic methods that use genetic diversity patterns through space and time to learn about neutral and selective evolutionary processes in archaic and modern humans, in particular leveraging the large number of Neandertals and Denisovans being sequenced at the institute. The exact projects of the candidates will be flexible, but will be in the context of the research in the group and at the institute. We welcome candidates with a strong quantitative / data science background. Previous work in population genetics (theoretical or analytical), experience with large-scale genomic datasets, low-coverage DNA data and strong programming skills are a plus but not required.

The Department of Evolutionary Genetics at the Max Planck Institute for Evolutionary Anthropology is a leader in ancient-DNA genomics and offers a lively, stimulating, and highly collaborative atmosphere. The Institute is very international and English speaking. It is located in Leipzig, a nice and affordable city of 500,000 habitants that is a major cultural center in central Europe (one hour away from Berlin and three from Prague).

Please send applications and informal inquiries directly to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!. To apply please send a brief cover letter, curriculum vitae, and contact information for at least two references as a single PDF. Applicants for the PhD-student position require a Masters degree. Applications will be considered on a rolling basis, and should be received before December 31, 2017 to guarantee consideration. Please see www.eva.mpg.de and www.bpeter.org to learn more about the group and institute.

Werkstudenten Medical Analytics & Data Mining / Machine Learning (m/w) [arvato CRM Healthcare GmbH]

Ihre Herausforderungen

Für die Unterstützung unserer Mitarbeiter/-innen im Team "Medical Data Science" am Standort München suchen wir

 ab 1.1.2018 für 20h/Woche

studentische Mitarbeiter für Forschungsprojekte (m/w).

 Ihre Tätigkeiten umfassen hierbei:

•             führende Mitarbeit in einem Kooperationsprojekt mit dem Helmholtzzentrum

•             medizinische und ökonomische Analysen auf der Forschungsdatenbank

•             fachliche Weiterentwicklung von Clusteralgorithmen für die Analyse von multinomialen Datenreihen

•             Veröffentlichung der Ergebnisse in einschlägigen Fachzeitschriften und Konferenzen.

 

Ihr Profil

•             Sie sind proaktiv und ein guter Teamplayer

•             ein fortgeschrittenes Studium der Informatik/Statistik/Bioinformatik

•             gute Datenbankkenntnisse (MySQL/TSQL) und Programmiererfahrung (Java, Perl, Python, R oder vergleichbares)

•             Interesse am Gesundheitswesen

•             Data Mining Kenntnisse sind von Vorteil (R/Weka/Knime)

•             sehr gute und Deutsch- und Englischkenntnisse in Wort und Schrift

 

Wir über uns

Hinter Arvato CRM Solutions stehen zahlreiche Services, die Sie täglich nutzen: Immer dann, wenn Kunden zum

Beispiel einen Flug umbuchen, einen Telefonvertrag verlängern oder die im Onlineshop bestellten Schuhe reklamieren

wollen, ist die Chance groß, dass wir als Dienstleister hinter den Kulissen tätig sind.

 

Im Namen unserer Auftraggeber pflegt Arvato CRM Solutions heute Beziehungen zu über 600 Millionen Konsumenten

und Geschäftskunden auf fünf Kontinenten in über 35 Sprachen. Am Telefon, per E-Mail und Brief oder auch im Live-

Chat sowie über Social Media unterstützen rund 43.000 Mitarbeiter an über 100 Standorten unsere Auftraggeber jeden

Tag dabei, exzellenten Kundenservice anzubieten. Arvato CRM Solutions ist Teil des Dienstleistungsunternehmens

Arvato - einer 100-prozentigen Tochter der internationalen Mediengruppe Bertelsmann.

 

Wir bieten Ihnen:

•             eine anspruchsvolle und verantwortungsvolle Tätigkeit in einem internationalen Team

•             eine Vergütung über öffentlichem Tarif und flexible Arbeitszeiten

•             die Möglichkeit, neben dem Studium praktische Erfahrungen zu sammeln und die im Studium erworbenen

 

Kenntnisse einzubringen und zu vertiefen

•             eine Referenz für den (späteren) Berufseinstieg und ein Netzwerk für die zukünftige Karriere

 

Wir haben Ihr Interesse geweckt?

Senden Sie Ihre Bewerbung an

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

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oder per Post an:

arvato CRM Healthcare GmbH

z.Hd. Jennifer Heinrich

Wohlrabedamm 32

13629 Berlin

 

Wir freuen uns auf Ihre Bewerbung!

Postdoctoral position in bioinformatics of long noncoding RNAs [Institute for Computational Genomics, RWTH Aachen University]

The Institute for Computational Genomics, RWTH Aachen University
performs cutting edge research on computational and genomic methods
for understanding regulatory and epigenetic processes driving cell
differentiation and diseases. In this project, we are particularly
interested in studying RNA-DNA interactions as mechanisms of
transcriptional control. For example, we have recently shown how the
long-noncoding RNA HOTAIR interacts with DNA via triple helices to
control the expression of stem cell differentiation (Kalwa et al.,
NAR, 2016).

 We are looking for a postdoc candidate to work on sequence analysis
algorithms for detection of RNA-DNA triple helices and for analysis of
novel target sequencing protocols, which capture triple helix forming
RNA and DNA molecules. This project will be performed in collaboration
with cell biologists of the Medical Faculty, RWTH and of the German
Centre of Cancer Research (DKFZ), Heidelberg.

 Applicants should hold a Ph.D. in Bioinformatics or Computer Science.
Experience in the analysis of biological sequences and regulatory
genomics is required. The candidate should have solid programming
skills (C, Python and/or R) and acquaintance with Unix/Linux.
Experience with high performance computing is a plus. The working
language of the group is English. The position is a full time position
to be filled as soon as possible. The candidate will have the
possibility to perform his habilitation. The salary corresponds to
level 13 TV-L. Interested candidates should send a brief statement, of
research interests, CV and the names of three references to
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!.

RWTH Aachen is one of the members of the German Excellence Initiative
and one of the leading technical universities in Europe. It is located
at the Euroregio tri-border region neighboring Netherlands and
Belgium, which provides unique life and work opportunities. 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.