The Technical University of Munich is one of the leading international research institutions in the fields of basic medical, cellular and infection research and is one of the largest universities in Germany. The Laboratory of Immunopathology of Viral Infections (Head: Prof. Andreas Pichlmair) at the Institute of Virology is looking for a:

Technical Assistant (BTA, CTA, MTA, VMTA)

Full-time, initial appointment period of 24 months

The technical assistant performs experimental work in the research area of cell and virus biology, supports general lab function and provides technical support to other members of the group.

Your tasks:

• Preparing and performing standard experiments in molecular biology, including generation of CRISPR/Cas9 knockout organisms, Western blotting, quantitative PCR, cloning, Maintenance and growth of cell cultures, and light confocal microscopic analyses).
• Infection experiments with human and animal pathogenic viruses and testing of potential antiviral agents
• Preparation and handling of mass spectrometric samples analysed by LC-MS/MS
• Laboratory organization and management
• Collaboration/assistance on projects of other staff members

Your profile:

• A completed training as a biology laboratory technician (BTA, CTA, MTA, VMTA) or a university degree.
• Experience in cell biology techniques and microscopy is a prerequisite.
• Previous experience working with viruses or viral vectors as well as experience with LC-MS/MS-based technologies is a plus.
• Basic knowledge in the use of computer programs as well as team-oriented thinking, willingness to communicate, reliability, conscientious and well-organized way of working as well as enthusiasm for working with biological systems are expected.
• Good written and spoken English and German, and confident in using English and German in the work environment.
• Very good organizational skills.
• Willingness to work independently, reliably and responsibly.

Payment is according to TVL E 8/9, depending on previous experience. Applications from severely disabled persons m/f/d are explicitly desired and will be preferred in case of equal suitability and qualification. The TU aims to increase the proportion of women. Qualified women are encouraged to apply.

Please send your application documents by 10.10.2023 via email as a .pdf file to the following address: lila.oubraham@tum.de

Molecular regulation of oxeiptosis
We are interested in the decision-making processes between cell survival and cell death. More specifically, we are interested in a ROS-induced cell death pathway, which we discovered and named oxeiptosis (Holze et al., Nat Immunology 2018 Feb;19(2):130-140). This pathway is important during virus infections and may also be involved in regulating the cell growth of tumour cells. To date, it is only partially understood how oxpeitosis is regulated on a molecular level, in particular the sensing of ROS and the downstream executing processes, which eventually lead to cell death. In this project, we will combine molecular biology and cell biological approaches with state-of-the-art imaging and proteomics to understand the regulatory processes that are associated with oxeiptosis regulation.

Applicants should have profound knowledge and a keen interest in basic principles of cell biology and biochemistry. Experience in cell culture and analytical techniques are highly appreciated. Knowledge of bioinformatics and willingness to work with mouse models are a plus. You will be working in a team of international scientists and be embedded in TRR353 IRTG (cell death decisions). Interest and intellectual contribution to ongoing scientific projects are expected, and the working language is English.

Requirements
• university degree
• biological background and/or wet lab experience
• fluent in English and excellent communication skills and
• general interest in biology
• motivation letter, CV and names of the two referees

Conditions
• international research group offering a very integrative and fun environment
• project guaranteeing financial security for the duration of the PhD
• Work contract based on TVÖD/L considering previous experience

Please send your application details until 10 September 2023 to: Prof. Andreas Pichlmair, email: andreas.pichlmair@tum.de

Description 
Position in biostatistics/bioinformatics with a focus on multi-omics data analysis in the viral immunopathology laboratory at the Institute of Virology, School of Medicine, Technical University of Munich (TUM). https://innatelab.org  

The group   
We are an international group that conducts cutting-edge research in virology and innate immunity. Our lab is interested in the interaction of viral structures (proteins and nucleic acids) with host factors and cellular responses to viral perturbations, which we study using state-of-the-art omics technologies, including transcriptomics, proteomics, metabolomics as well as functional screens based on high throughput imaging. These data are used to establish functional and mechanistic insights into pathogen-host interactions, which describe and predict viral disease progression. Eventually, these data should be used to identify potential treatment options, which will be tested in functional analyses.     

Location  
We are located in the center of Munich, on the TUM campus Klinikum rechts der Isar. 

Tasks and responsibilities       
The main mission is to establish bioinformatics and biostatistics analyses of omics data produced by the group and to integrate public knowledge to model viral diseases. This includes: 

• • Analysis of large-scale proteomics, transcriptomics, and imaging data.
  • Maintaining and improving available analysis pipelines and strategies.
  • Close collaboration with other team members to ensure the transfer of tools and expertise to the group.
  • Developing new strategies for the integration of multi-omics datasets.

Duration
Fixed term for 2 years with an option to extend further.      

Starting date         
To be discussed, preferably as soon as possible.       

Salary 
Scientist, scale TV-L E13, depending on experience. https://oeffentlicher-dienst.info/tv-l/allg/

Candidate profile  
The candidate is expected to have a master’s degree, an engineering degree, or a Ph.D. in computational biology, biostatistics, applied mathematics, or a related field. Experience with data modeling techniques, such as linear regression and clustering, is required, and knowledge of Bayesian inference is a plus. Experience with proteomics data analysis and basic knowledge in mass spectrometry would be appreciated.  
The candidate should be familiar with R and Python (Julia is a plus).  
Excellent oral and written English skills are necessary.         

To apply 
Applications (letter of motivation, CV, and names of two referees) should be sent to andreas.pichlmair@tum.de and melissa.verin@tum.de by 31^st of Aug 2023.