Skip to main content

Postdoc - Deep Learning and Perturbation Models (f/m/x)

Employer
Helmholtz Munich
Location
Munich, Germany
Salary
Negotiable
Closing date
Jun 28, 2024

View more

Sector
Science
Organization Type
Clinical Practice
Jobseeker Type
Entry Level and Graduate
Postdoc - Deep Learning and Perturbation Models (f/m/x) 102324
  • Full time
  • Neuherberg near 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?

TheComputational Health Centeris a dynamic and innovative institution engaged in the development of artificial intelligence (AI) methods for biomedical applications. In this highly explosive and relevant field of research we are one of the largest and most recognized centers in Germany. On a national and international level, we are active and recognized in numerous initiatives and networks.

TheInstitute of Computational Biologyis globally recognised for innovations in data analysis and modelling of biological systems and diseases, anchored at Helmholtz Munich and the Technical University of Munich. At our institute you will find a scientifically stimulating international environment.

TheTheis Labhas a long-standing reputation for pioneering machine learning and AI methods in molecular biology, in particular on single‑cell genomics.

We are seeking a highly motivated and talented Postdoctoral Researcher (f/m/x) 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. As a Postdoctoral Researcher, you will play a key role in developing and implementing innovative machine learning algorithms and computational methods to accelerate target discovery, inform precision medicine, and enable preclinical to clinical translation.

Prof. Matthias Tschöp (Dr. Med., Dr. hc.)

CEO of Helmholtz Munich

We believe that excellent research requires a range of different perspectives. Diverse teams reach better solutions and are more innovative in their research topics.

Establishing our Diversity Management Strategy demonstrates our commitment to ensuring an appreciative company culture based on mutual respect. We are also implementing diversity-sensitive processes throughout our whole organization.

Your tasks
  • 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
  • Career Development:
    • Postdoc program, scientific training & career center with tailored offers
  • Family Support:
    • On-site kindergarten, holiday care, care for the elderly
  • Health Promotion:
    • ​​​​​​​Sports, company doctor, mental health initiatives
  • International Staff Service:
    • ​​​​​​​Support with the relocation and integration process in Germany
  • Work-Life-Balance:
    • ​​​​​​​Flexible working hours and flexi‑time model

If you fulfil all the requirements, you may be eligible for a salary grade of up to E 13. Social benefits are based on the Collective Wage Agreement for Public-Sector Employees (TVöD). The position has an (initial) fixed term of 2 years but may be extended under certain circumstances.

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.

Interested in applying?

If you have any questions, feel free to contact Marco Uhrig, marco.uhrig@helmholtz-munich.de, or Emma van Holthe, emma.vanholthe@helmholtz-munich.de, who will be happy to help.

Your application should include
  • CV
  • Cover letter
  • Contact details for at least two referees

Application deadline: 30.06.2024

Online application

Helmholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Institute of Computational Biology
Ingolstädter Landstraße 1
85764 Neuherberg

Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert