Student Assistant (f/m/x) - Machine Learning and Image Analysis

102739

Stud. Assistant

20 hrs./week

Munich

Partial Home Office possible

At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives.

The research focus of the Institute of Diabetes Research (IDF) lays on understanding the pathogenesis of type 1 diabetes, on identifying mechanisms and predictive markers of the disease, and the translation of findings into clinical trials to prevent type 1 diabetes in humans. The institute is particularly interested in deciphering the molecular mechanisms of islet autoreactivity, and the interaction of environment, genes, and the immune response. The ultimate goal is to develop therapies for the prevention and cure of islet autoimmunity and diabetes.

The laboratory of Dr. Teresa Rodriguez-Calvo within IDF at Helmholtz Munich, is seeking a Student Assistant (f/m/x) to join a collaborative group studying type 1 diabetes. We are looking for a highly motivated individual to investigate the pathogenesis of type 1 diabetes in humans. You will have the opportunity to analyze pancreas samples from individuals with and without diabetes provided by the Network for Pancreatic Organ Donors with Diabetes (nPOD). You will analyze immunofluorescence microscopy images, perform spatial phenotyping and implement new tools based on machine learning algorithms. This is a hands-on opportunity to apply state-of-the-art methods to patient samples within the largest and most advanced scientific organization in Germany.

Learn more about us and our work here: https://www.helmholtz-munich.de/en/idf/research-area/type-1-diabetes-pathology

Your tasks

• Use image analysis tools to extract data from patient samples.
• Optimize analysis pipelines by implementing new analytical tools based on spatial phenotyping.
• Organize/summarize acquired data and present it to the rest of the team.
• Keep a record of patient samples and data connected with those samples.
  
  

The selected candidate will receive general instructions on routine work and detailed instructions on new assignments. Training will be provided.

Your profile

• Students (f/m/x) of bioinformatics/computational biology or related field.
• Good programming skills, preferably R/Java/Python.
• Good written and spoken communication skills in English.
• Ability to work independently and with others within an outstanding scientific environment.
  
  

Desirable Qualifications

• Basic knowledge of descriptive statistics, spatial analysis methods and machine learning is desirable.
• Basic knowledge of Image Analysis software (QuPath, ImageJ/Fiji etc.) is a plus.
• Knowledge of histology and related techniques including immunofluorescence is also a plus.
  
  

Remuneration and social security benefits are based on the Collective Bargaining Association of German States (TdL). This position has a fixed term of 6 months.

Teresa Rodriguez-Calvo, Group leader:

"Our work is focused on defining and characterizing the hallmarks of type 1 diabetes. We closely collaborate with the Network for Pancreatic Organ Donors with Diabetes (nPOD) to study the human pancreas from deceased donors at different stages of their disease. This has allowed us to discover novel pathological aspects, which have opened new lines of investigation that will shape our understanding of the natural history of type 1 diabetes".

Interested in applying?

If you have any questions, feel free to contact Fr. Teresa Rodriguez Calvo, teresa.rodriguez@helmholtz-munich.de, who will be happy to help.

Our recruiting is decentralized - your application will be reviewed directly by the specialist department in which you could work in the future.

More information about our application process

Please send your application only via our online application tool and with the following documents:

• CV
• Cover letter
• Degrees/Diplomas/Certificates
  
  

If you have obtained a university degree abroad, we will require further documents from you regarding the comparability of your degree. Please request the Statement of Comparability for Foreign Higher Education Qualifications as early as possible.

We are committed to promoting a culture of diversity and welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference.

Learn more about diversity at Helmholtz Munich

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