Student Assistant (f/m/x) - Maching learning and image analysis
Stud. Assistant9 hrs./week
Munich
Home Office Options
We are Helmholtz Munich. In a rapidly changing world, we discover breakthrough solutions for better health.
Our research is focused within the areas of metabolic health/diabetes, environmental health, molecular targets and therapies, cell programming and repair, bioengineering, and computational health. We particularly excel in the fields of basic research, bioengineering, artificial intelligence, and technological development.
Through this research, we build the foundations for medical innovation. Together with our partners, we seek to accelerate the transfer of our research, so that laboratory ideas can reach society and improve people’s quality of life at the fastest rate possible.
This is what drives us. Why not join us and make a difference?
The research focus of the Institute of Diabetes Research 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 the Institute of Diabetes Research 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
"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".
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.
Since 2005, we hold the TOTAL E-QUALITY award for exemplary action in the sense of an equal-opportunity organizational culture.
Helmholtz Munich is actively committed to diversity and inclusion in practice and is sustainably committed to equality.
The Diversity Charter has set itself the goal of promoting diversity in the world of work. By signing the charter, we commit ourselves to create an appreciative working environment for all employees.
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.
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. 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.
