Data analyst for Next Generation Sequencing (NGS) - m|f|d
Miltenyi Biotec B.V. & Co. K.G.
Your role:
As a member of our Bioinformatics group you analyze high content NGS data such as WGS, WES, WTS, scRNAseq, scTCR/BCRseq, ChIPseq, bisulfite sequencing etc., to support new treatments against cancer and many other diseases.
You thoroughly document your results and present them to members of R&D and Biomedicine departments.
You develop and implement your own creative ideas for the analysis of non-standard datasets as for instance in the context of cancer immunotherapy.
In an interdisciplinary and innovative work environment, you work in close cooperation with other R&D departments, software engineering, and IT within your team of bioinformatician professionals.
Your profile:
You hold a master’s degree in computational science, bioinformatics, biostatistics or a similar field, phd is welcome.
Your experience and/or knowledge includes proficiency in NGS data analysis.
You bring along some experience in programming with Python, C++, Linux shell and/or R, experience in software development projects is a plus.
Your communication and presentation skills in English are very good and your working principles are highly service-oriented.
Cell biology, immunology and cancer biology fascinate you.
What we offer:
A modern workplace and exciting opportunities in the development of technologies with a secure future
Cross-border intercultural cooperation and short communication channels
A collegial corporate culture and flexible working hours enable time management on your own terms
Personalized employee development program: specialist and personal training courses provided by our own training academy
Diverse corporate benefits with regard to employee health, sport, and staff events
Link:
https://short.sg/j/7632528
Bioinformatician/Software developer in the field of personalized cancer immunotherapy (m|f|d)
Miltenyi Biotec B.V. & Co. K.G.
Your role:
• As a member of our Bioinformatics group you develop software and implement your own creative ideas in the context of personalized cancer immunotherapy.
• You develop and validate software for the analysis of single cell sequencing / Next Generation Sequencing (NGS) data. Hence, you need to analyze high content data using C++, Python or R.
• You are responsible for thorough versioning, documentation, and testing of your code.
• In an interdisciplinary and innovative work environment, you work in close cooperation with other R&D departments, software engineering and IT to develop further new analysis tools.
Your profile:
• You hold a master’s degree in computational science, bioinformatics or a similar field. A PhD is a plus.
• You are proficient in software development and design with C++, Python and R.
• Knowledge of good software documentation and a basic understanding of cloud computing rounds off your profile.
• You bring along experience in NGS data analysis. Experience in NGS data analysis from single cells is advantageous.
• Cell biology, immunology and cancer biology fascinate you.
What we offer:
• A modern workplace and exciting opportunities in the development of technologies with a secure future
• Cross-border intercultural cooperation and short communication channels
• A collegial corporate culture and flexible working hours enable time management on your own terms
• Personalized employee development program: specialist and personal training courses provided by our own training academy
• Diverse corporate benefits with regard to employee health, sport, and staff events
Link:
https://www.miltenyibiotec.com/DE-en/
PhD student in Cancer bioinformatics (m/f/d)
Dept. of Experimental Medicine I, FAU Erlangen-Nuremberg, Germany
More than 90% of cancer mortality is attributed to metastases, not the primary tumors from which these malignant lesions originate. The epithelial to mesenchymal transition (EMT) inducing transcription factor ZEB1 is a key regulator of the metastatic cascade and it is thus of great importance to dissect its mechanisms of action. In the proposed project, we aim to elucidate its function in the emerging field of enhancer mediated gene regulation.
Within this project, we are looking for a highly motivated PhD student with a strong interest in bioinformatics.
Your tasks will include the analysis of ChIP-seq and ATAC-seq datasets, the generation of chromatin state models and the identification of enhancer-gene connections. Prior experience in NGS data analyses as well as knowledge of Unix and the R/Bioconductor environment are advantageous.
For more details and to send your application:
Prof. Thomas Brabletz, Email: thomas.brabletz@fau.de
Dr. Fulvia Ferrazzi, Email: fulvia.ferrazzi@uk-erlangen.de
Further reading:
Feldker N et al. Genome-wide cooperation of EMT transcription factor ZEB1 with YAP and AP-1 in breast cancer. EMBO J. 2020 Sep 1;39(17):e103209. doi: 0.15252/embj.2019103209
Stemmler, M.P., Eccles, R.L., Brabletz, S. & Brabletz, T. Non-redundant functions of EMT transcription factors. Nat Cell Biol. 2019 Jan;21(1):102-112. doi: 10.1038/s41556-018-0196-y.
Link:
https://www.em1.med.fau.de/
Postdoc position in Bioinformatics (m/f/d; TV-L E13, 3 years)
Center for Bioinformatics at Eberhard Karls University Tübingen
The Chair for Applied Bioinformatics (Prof. Oliver Kohlbacher), Center for Bioinformatics at Eberhard Karls University Tübingen, one of eleven German universities distinguished as excellent under the German government’s initiative, is currently offering a
Postdoc position in Bioinformatics (m/f/d; TV-L E13, 3 years)
starting now.
We are looking for skilled and motivated individuals to join our research group.
Research Project
The candidate is expected to perform research in the area of computational mass spectrometry with a focus on method development in metabolomics. As part of an interdisciplinary research project focusing on antibiotic resistance, you will develop analysis and quality control workflows for targeted and non-targeted LC-MS-based metabolomics.
Responsibilities include
- Active participation in the open-source project OpenMS (training, documentation, maintenance, and smaller development tasks).
- Mentoring of bachelor and master students.
- Writing scientific papers and attending relevant conferences.
Requirements
- A master’s degree in Bioinformatics, Computer science, or a related field.
- Strong command of English.
- Strong programming skills (C++, python, R).
Your application
Salary will be according to the German public service (TV-L E13) (See https://academicpositions.be/career-advice/phd-postdoc-and-professor-salaries-in-germany for details). Initially, the position is limited to 36 months but may be extended further.
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 Ms. Claudia Walter (walter@informatik.uni-tuebingen.de).
Applications arriving before September 30, 2020 will receive full consideration, and applications arriving after September 30, 2020 will be considered until the position is filled.
Link:
https://www.denbi.de/jobs/960-postdoc-position-in-bioinformatics-m-f-d-tv-l-e13-3-years
Research Assistants Bioinformatics ((Postdocs/PhD Students, 100%, TV-L 13)
Ludwig-Maximilians-Universität München
We are looking for several research assistants (Ph.D./PostDoc) for bioinformatics research and teaching at the Chair of Practical Informatics and Bioinformatics, Department of Informatics, Faculty of Mathematics, Informatics and Statistics.
Link:
https://www.bio.ifi.lmu.de/aktuelles/stellenangebote/zimmer/index.html
Wissenschaftliche Mitarbeiter/innen Bioinformatik (100%, TV-L 13)
Ludwig-Maximilians-Universität München
Wir suchen am Lehrstuhl für Praktische Informatik und Bioinformatik, Department Informatik der Fakultät für Mathematik, Informatik und Statistik mehrere wissenschaftliche Mitarbeiter (Doktorand/PostDoc) für die Bioinformatik Forschung und Lehre.
Link:
https://www.bio.ifi.lmu.de/aktuelles/stellenangebote/zimmer/index.html
PhD student Theoretical Biophysics HU Berlin
Humboldt-Universität zu Berlin
Mathematical modeling of metabolism in plants, project in TRR175 Green Hub
Link:
https://rumo.biologie.hu-berlin.de/tbp/index.php/en//
Wissenschaftlicher Mitarbeiter (w/m/d) EG13 TV-L
TH Bingen
In einem fachbereichsübergreifenden Verbundprojekt "Förderung des branchenübergreifenden und überbetrieblichen Datenmanagements zur Unterstützung landwirtschaftlicher Wertschöpfungssysteme" wird zum nächstmöglichen Zeitpunkt, befristet bis 04.02.2023, ein wissenschaftlicher Mitarbeiter (w/m/d) für 39 Std. / Woche gesucht. Wesentliches Ziel des Projekts ist eine Qualifizierung des landwirtschaftlichen Berufsstandes um digitale Technologien effizient einführen und nutzen zu können. Für die unterschiedlichen landwirtschaftlichen Anwendungsfälle werden Coaching-Angebote erarbeitet und durchgeführt.
Tätigkeiten:
- Analyse der vorhandenen Software-Lösungen im Agrarbereich
- Durchführung von Markterhebungen zu Softwareangeboten
- Erarbeitung von Problemlösungen bei vorhandenen Informationssystemen in Pilotbetrieben
- Mitwirkung bei der Evaluierung und Erstellung von Schulungsmaterialien
- enge Zusammenarbeit mit dem am Projekt beteiligten Kooperationspartnern
Voraussetzungen:
- Abgeschlossene Hochschulausbildung (guter Masterabschluss) im Bereich der Informatik mit landwirtschaftlichen und umweltschutztechnischen Grundkenntnissen
- sehr gute GIS-Kenntnisse und praktische Erfahrungen in der Software-Anwendung
- Führerschein, nach Möglichkeit Klasse T
- Fähigkeit zur Selbstorganisation, interdisziplinären Kommunikation und Teamarbeit mit Landwirten, Beratern, Ingenieuren und Wissenschaftlern (w/m/d)
- Englisch fließend in Wort und Schrift
Wir bieten:
- Eine Vergütung nach EG 13 TV-L je nach Qualifikation
- Eine betriebliche Altersvorsorge bei der VBL
- Flexible familienfreundliche Arbeitszeitregelungen
- Aus- und Fortbildungsmöglichkeiten
- Möglichkeit zur wissenschaftlichen Qualifikation in Form einer kooperativen Promotion
Nähere Informationen erhalten Sie von Herrn Prof. Dr. Clemens Wollny (c.wollny[at]th-bingen.de, Tel.: 06721 409 348) und Herrn Prof. Dr. Thomas Rademacher (rademacher[at]th-bingen.de).
Link:
https://www.th-bingen.de
PhD student or PostDoc: Workflow systems for Genomics
Humboldt-Universität zu Berlin
Research in adaptive workflow languages and systems for genome research. The position is part of CRC 1404 FONDA on Workflows for Large-Scale Scientific Data Analysis.
Link:
https://www.informatik.hu-berlin.de/de/forschung/gebiete/wbi/jobs/wimi_fonda_a2_2007.html
Postdoc in Machine Learning for RNA Biology
University Hospital Heidelberg
The division of Bioinformatics and Systems Cardiology at the Klaus Tschira Institute for Integrative Computational Cardiology / Department of Internal Medicine III, seeks to fill one full-time position:
*Postdoc in Machine Learning for RNA Biology*
Starting date: as soon as possible / Duration: Initially 2 years; option of further extension.
The ideal candidates will have a PhD or equivalent in Bioinformatics, Physics, Statistics or a related discipline. You offer solid expertise in handling high-throughput data sets and are fully competent in managing the underlying statistical challenges. Moreover, you are happy to work in a highly interdisciplinary team. A proven competence in scripting/programming (i.e. at least two out of C/C++, R, Python, Java) is essential. Other relevant qualifications include a good understanding of RNA Biology.
Link:
https://www.dieterichlab.org
