Postdoctoral Researcher

vor 1 Monat

Oberschleißheim, Bayern, Deutschland Helmholtz Zentrum München Vollzeit
Postdoctoral Researcher - Deep Learning and Perturbation Models

We are seeking a highly motivated and talented Postdoctoral Researcher to join our team for a collaborative research project with Pfizer Inc. The project aims to enable target discovery and precision medicine through the application of scalable and interpretable deep learning and perturbation models.

Your Responsibilities
  • Curate, prepare, and analyze immune cell CRISPR data.
  • Integrate large-scale clinical omics data and metadata from public and private clinical studies.
  • Develop Deep Learning algorithms to compare human diseases and preclinical models.
  • Model both genetic and chemical perturbations in out-of-distribution conditions.
  • Mentor highly-motivated PhD students.
Your Profile
  • Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field with a focus on machine learning, deep learning, or artificial intelligence.
  • Strong background and research experience in developing, applying, and evaluating deep learning algorithms.
  • Proficiency in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience in analysing and integrating large-scale omics data (e.g., RNA-seq, bulk transcriptomics, single-cell data) and applying machine learning methods.
  • Familiarity with perturbation models, genetic perturbations, and compound data is a plus.
  • Good publication record and excellent communication skills.
  • Ability to work collaboratively in a multidisciplinary team.
Benefits

Helmholtz Munich is actively committed to diversity and inclusion in practice and is sustainably committed to equality. 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.

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