Postdoc - Spatial Transcriptomics/ Single Cell - Munich, Deutschland - Helmholtz Zentrum München

Helmholtz Zentrum München

Geprüftes Unternehmen

Munich, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

:
Discover personalized medical solutions for environmentally triggered diseases to promote a healthier society in a rapidly changing world.

The Institute of Computational Biology is studying models that learn relationships between biological interventions and patient outcomes that can be conceived across experimental settings and contexts.

One current goal is to generalize across diseases and experiments, through the development of platforms that enables reutilizing multimodal patient data as tailored, scalable models, capable of predicting patient states and transitions.

In the context of an international consortium effort (), the Theis lab is looking for a postdoctoral researcher able to take lead in the developing extensions of previously developed computational and modeling approaches, to work with generated and upcoming data obtained by our experimental collaborators.

Datasets from the consortium are actively generated and will be focused on Triple Negative Breast Cancer (TNBC), Tuberculosis (TB), and glioblastoma multiforme (GBM).

Postdoc - spatial transcriptomics/ single cell genomics/ machine learning (f/m/x

Full time

Neuherberg near Munich

Postdocs

Responsibilities:

Implement modulebased deliverables to analyze spatial transcriptomics data.
Explore selfsupervised learning strategies to transfer spatial information to modalities of varying sparsity e.g. scRNAseq, scATACseq.
Incorporate biologicallyrelevant prior information and use these to build interpretable models
Active scientific reporting to consortia parties and collaborators. Goals and milestones of this project are tracked in quarterly reports, requiring active writing and presentation.

Your qualifications

PhD degree in Computer Science / Physics / Math / Computational Biology or related field
Knowledge and demonstrated experience with machine/ deep learning methods
Strong programming skills in Python
Ability to handle multiple projects in a dynamic environment
Interest in discussing and exploring potential project ideas with collaboration partners

Desired qualifications:

Experience with spatial transcriptomics data and imaging
Demonstrated software development of scalable software projects in GitHub
Team management skills, to coordinate work with research assistants and coleading

What we offer you

work-life balance
flexible working hours & working-time models
continuous education and training
30 days annual leave
on-site health management service
home office options
on-site nursery & holiday care
elder care company pension scheme discounted public transport ticket

Munich, with its numerous lakes and its vicinity to the Alps, is considered to be one of the cities with the best quality of life worldwide.

With its first-class universities and world-leading research institutions it offers an intellectually stimulating environment.

Provided that the prerequisites are fulfilled, a salary level up to E 13 is possible. Social benefits are based on the collective agreement for the federal public service (TVöD). The position is limited until Sep 30, 2024, under certain circumstances an extension can be arranged.

If you have obtained a university degree abroad, we require further documents from you regarding the recognition of the degree.

Interested?
If you have further questions, simply contact Dr. Anna Sacher, , who will be happy to be of assistance. Helmholtz Zentrum München
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Institute of Computational Biology
Ingolstädter Landstraße 1

85764 Oberschleißheim