Postdoctoral Research Associate / Reference Code 217

Job title:

Postdoctoral Research Associate / Reference Code 217

Company

Job description

Offer DescriptionThe Department of Agrobiotechnology, IFA-Tulln, Institute of Bioanalytics and Agro-Metabolomics is currently seeking a PostdoctoralResearch Associate.Extent of employment: 40 hours per weekWorkplace: 3430 Tulln an der DonauDuration of employment: as of now, permanentGross monthly salary and pay grade in terms of collective agreement for university staff (payable 14 times per year): B1 lit. b, € 4.752,30Responsibilities:

• ANALYSIS & INTERPRETATION OF OMICS DATA
• Conducting bioinformatic analyses/evaluations of data sets from biological experiments with a special focus on instrumental analytics (e.g. GC-MS and LC-HRMS/MS) and metobolobics
• Integration of multi-omics data sets for the interpretation of complex biological questions
• Development and application of software algorithms and statistical models for the recognition and evaluation of daa patterns in experimental metabolobics dat

• INTERDISCIPLINARY COLLABORATION
• Collaboration with interdisciplinary teams to plan experiments and ensure robust data collection, analysis and interpretation
• Collaboration with chemists and biologists to provide and develop bioinformatics solutions
• Providing technical expertise and training chemists in the use of bioinformatics software programs and methods

• SOFTWARE DEVELOPMENT
• Development and maintenance of bioinformatics software programs and workflows for data processing
• Ensuring and automating user-friendly data evaluation tools and workflows
• Continuous improvement of bioinformatics software programs and analysis technology

• RESEARCH & INNOVATION
• Submission, processing and management of research projects aimed at integrating bioinformatics and analytical chemistry
• Publishing research results in the form of reports, peer-reviewed articels and presentationsat scientific conferences
• Identifying and pursuing opportunities for funding and collaborative research initiatives

• TEACHING
• Establish and contribute to courses that teach (untargeted) metobolomics, R and automated data analysis to students
• Supervision of masters and PhD students

Required skills and qualifications:

• Doctorate degree/PhD in Bioinformatics, Computational Biology or similar
• Fluent in English and German

Desired skills and qualifications:

• BIOINFORMATICS
• Expertise and experience in software development using common programming languages in the field of life sciences with a focus on metabolomics research and statistics (e.g. Python, R, Java)
• Deailed knowledge of common statistical methods and their application in Omics research with a focus on metabolomics
• Experience with specific databases and web servers for structure elucidation and annotation of small molecules
• Theoretical and practical knowledge of FAIR principles for data management
• Experience with HPC environments (e.g. SLURM) and machine learning (e.g. TensorFlow, PyTorch) as well as Pipeline tools (e.g. SnakeMake, Galaxy)

• ANALYTICAL CHEMISTRY
• Sound knowledge in the field of chromatography and mass spectrometry
• Practical experience with common tolls and methods in untargeted metabolomics data analysis (e.g. raw data processing, molecular networks, MZmine, XCMS,SIRIUS)
• Ability to critically evaluate, question and interpret analytical results in order to answer biological questions
• Experience with vendor software for evaluation of analytical data (LC-HRMS, GC-MS, etc.)

• SCIENTIFIC EXPERTISE
• Proof of being able to evaluate data independently, critically and automatically and to interpret and summarize the results independently with regard to a scienfitic question
• Ability and experience to prepare and present scientific results competently, critically and professionally and to write publications
• Excellent communication skills in professional exchange with chemists and biologists as well as colleagues from related disciplines

• OTHER DESIRED QUALIFICATIONS
• Good organizational skills, management qualities and ability to work independently
• Experience in projet management and reporting, as well as communication of research results
• Experience in teaching and instructing users and students
• independent publication activity in the field, presentation experience and good presentations skills
• Experience in the conception and preparatin of scientific projects, as well as assocated project proposals

University of Natural Resources and Life Sciences Vienna seeks to increase the number of its female faculty and staff members. Therefore qualified women are strongly encouraged to apply. In case of equal qualification, female candidates will be given preference unless reasons specific to an individual male candidate tilt the balance in his favour.People with disabilities and appropriate qualifications are specifically encouraged to apply.Please send your job application as a single PDF-file (
5 MB)

• Motivation letter
• CV
• List of publications
• Brief summary of scientific projects the applicant was involved and their duties in these projects
• Contact details for at least two reference persons

to Personnel Management, University of Natural Resources and Life Sciences, Peter-Jordan-Straße 70, 1190 Vienna; E-Mail: . (Reference code: 217)We regret that we cannot reimburse applicants travel and lodging expenses incurred as part of the selection and hiring process.Where to apply E-mail[email protected]RequirementsResearch Field Computer science » Informatics Education Level PhD or equivalentAdditional InformationAdditional commentsPlease note that the full job description is only available in German. Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Institute of Bioanalytics and Agro-Metabolomics Country Austria City Tulln an der Donau Postal Code 3430 Street Konrad Lorenz-Straße 20 GeofieldContact CityVienna WebsiteStreetPeter-Jordan-Straße 70 Postal Code1190STATUS: EXPIREDShare this page

Expected salary

Location

Tulln, Niederösterreich

Job date

Wed, 25 Sep 2024 03:09:40 GMT

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