AI Consultant in Health Research - Postdoc (f/m/x) Jetzt bewerben
AI Consultant in Health Research - Postdoc (f/m/x)

AI Consultant in Health Research - Postdoc (f/m/x)

Doktorand 43200 - 72000 € / Jahr (geschätzt) Kein Home Office möglich
Jetzt bewerben
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Auf einen Blick

  • Aufgaben: Develop AI analytics for health research and collaborate on impactful projects.
  • Arbeitgeber: Join Helmholtz Munich, Germany's largest research organization focused on AI in health.
  • Mitarbeitervorteile: Enjoy flexible working hours, 30 days of leave, and support for relocation.
  • Warum dieser Job: Make a difference in health research while working in a vibrant international team.
  • GewĂĽnschte Qualifikationen: PhD in relevant fields with experience in Deep Learning and biomedical applications.
  • Andere Informationen: Home office options available; commitment to diversity and inclusion.

Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.

AI Consultant in Health Research – Postdoc (f/m/x) 102566

  • Full time
    39hrs./week
  • Neuherberg
    near Munich
  • Home office options (up to 3 days a week, not fully remote)

Germany’s largest research organization, the Helmholtz Association, launched Helmholtz AI: This dedicated, interdisciplinary platform develops and promotes applied Artificial Intelligence (AI) methods for the Association’s main research fields (Health, Energy, Earth and Environment, Information, Space, Matter) in collaboration with its external and university partners. Its central unit operates at the Helmholtz Munich. Our mission is to enable research scientists to leverage AI methods optimally.

The Munich AI consultant team is focusing on Health and collaborates with researchers from the whole Helmholtz Association on projects on cancer and infection research, molecular medicine, as well as neurodegenerative and environmental diseases. We offer you the unique opportunity to use your expertise in AI to answer questions of great societal importance in a vibrant international environment.

To join our growing team, we are inviting applications for

AI Consultant in Health Research – Postdoc (f/m/x)

You will develop AI-based analytics for the unique data sets generated by renowned researchers, with a focus on health applications. You will also play a crucial role in achieving our long-term goal of facilitating open access to AI expertise through interdisciplinary collaborations and dissemination.

Your tasks

  • Apply and disseminate emerging AI methods to solve concrete research questions
  • Develop and maintain open-source AI scientific software
  • Continuously learn about state-of-the-art AI methods and their applications
  • Be a point of contact for questions related to AI and provide critical assessments
  • Be a fundamental part of one of the largest scientific AI initiatives in Europe

Your profile

  • PhD degree in computer science, engineering, mathematics, physics, bioinformatics or another field related to data science
  • Track record in applying state-of-the-art Deep Learning architectures (e.g. transformers) to biomedical tasks, ideally in medical imaging, drug discovery or multi-omics data
  • Proficiency implementing state-of-the-art vision-language models or generative models
  • Experience with multimodal representation learning and model alignment
  • Systematic way of working, and the ability to communicate clearly with different stakeholders
  • Open and curious mindset with a strong team spirit

Benefits

  • Career Development: Postdoc program, scientific training & career center with tailored offers
  • Recreation: 30 days annual leave, flexi days, plus public holidays
  • International Staff Service: Support with the relocation and integration process in Germany
  • Health Promotion: Sports, company doctor, mental health initiatives
  • Family Support: On-site kindergarten, holiday care, care for the elderly
  • Work-Life-Balance: Flexible working hours and flexi-time model

If you fulfill all the requirements, you may be eligible for a salary grade of up to E13. 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. The position offers home office options of up to 3 days per week, therefore it cannot be offered as a fully remote position.

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 Dr. Marie Piraud at , who will be happy to help.

Your application should include:

  • Publication list
  • CV
  • Contact details for at least two referees

Helmholtz Munich
Deutsches Forschungszentrum fĂĽr Gesundheit und Umwelt (GmbH)
Helmholtz AI
Ingolstädter Landstraße 1
85764 Neuherberg

#J-18808-Ljbffr

AI Consultant in Health Research - Postdoc (f/m/x) Arbeitgeber: Helmholtz Munich

At Helmholtz Munich, we pride ourselves on being Germany's largest research organization, offering a dynamic and collaborative environment for AI Consultants in Health Research. Our commitment to employee growth is evident through our tailored postdoc program and scientific training opportunities, while our flexible working hours and home office options ensure a healthy work-life balance. Join us in making a meaningful impact on society by leveraging your expertise in AI within a vibrant international team dedicated to groundbreaking health research.
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Kontaktperson:

Helmholtz Munich HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: AI Consultant in Health Research - Postdoc (f/m/x)

✨Tip Number 1

Make sure to familiarize yourself with the latest AI methods and their applications in health research. This will not only help you during the interview but also show your genuine interest in the field.

✨Tip Number 2

Network with professionals in the AI and health research community. Attend relevant conferences or webinars to connect with potential colleagues and learn about ongoing projects that align with your expertise.

✨Tip Number 3

Prepare to discuss specific examples of your work with deep learning architectures, especially in biomedical tasks. Being able to articulate your experience clearly will demonstrate your capability for the role.

✨Tip Number 4

Showcase your collaborative spirit by highlighting any interdisciplinary projects you've worked on. The ability to communicate effectively with different stakeholders is crucial for this position.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: AI Consultant in Health Research - Postdoc (f/m/x)

PhD in Computer Science, Engineering, Mathematics, Physics, Bioinformatics or related field
Expertise in Deep Learning architectures (e.g. transformers)
Experience in biomedical tasks, particularly in medical imaging, drug discovery, or multi-omics data
Proficiency in implementing vision-language models and generative models
Knowledge of multimodal representation learning and model alignment
Strong analytical and problem-solving skills
Ability to communicate complex AI concepts clearly to diverse stakeholders
Experience in developing and maintaining open-source scientific software
Curiosity and willingness to continuously learn about state-of-the-art AI methods
Team spirit and collaborative mindset
Systematic approach to work

Tipps für deine Bewerbung 🫡

Understand the Role: Make sure to thoroughly read the job description for the AI Consultant position. Understand the key responsibilities and required qualifications, especially the emphasis on AI methods in health research.

Tailor Your CV: Customize your CV to highlight relevant experience in AI, particularly in biomedical tasks. Include specific projects or research that demonstrate your proficiency with deep learning architectures and multimodal representation learning.

Prepare a Publication List: Compile a comprehensive list of your publications that are relevant to the position. This should showcase your contributions to the field of AI and health research, emphasizing any work related to medical imaging or drug discovery.

Contact Referees: Reach out to at least two referees who can vouch for your expertise and experience in AI and health research. Ensure they are prepared to provide a strong recommendation that aligns with the requirements of the position.

Wie du dich auf ein Vorstellungsgespräch bei Helmholtz Munich vorbereitest

✨Showcase Your AI Expertise

Be prepared to discuss your experience with state-of-the-art AI methods, particularly in health applications. Highlight specific projects where you've applied deep learning architectures, especially in medical imaging or drug discovery.

✨Demonstrate Interdisciplinary Collaboration

Since the role involves working with various stakeholders, share examples of how you've successfully collaborated across disciplines. Emphasize your ability to communicate complex AI concepts clearly to non-experts.

✨Stay Updated on AI Trends

Research the latest advancements in AI and be ready to discuss how they can be applied to health research. Showing that you are proactive about learning will demonstrate your commitment to continuous improvement.

✨Prepare Questions for the Interviewers

Think of insightful questions related to the team's current projects or the future direction of AI in health research at Helmholtz. This shows your genuine interest in the position and helps you assess if it's the right fit for you.

AI Consultant in Health Research - Postdoc (f/m/x)
Helmholtz Munich Jetzt bewerben
H
  • AI Consultant in Health Research - Postdoc (f/m/x)

    Doktorand
    43200 - 72000 € / Jahr (geschätzt)
    Jetzt bewerben

    Bewerbungsfrist: 2027-02-01

  • H

    Helmholtz Munich

    1000 - 5000
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