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- Aufgaben: Develop novel AI methods and analyze medical/molecular data.
- Arbeitgeber: Join Helmholtz Munich, a leader in health research and innovation.
- Mitarbeitervorteile: Enjoy 30 days of leave, flexible work options, and career development support.
- Warum dieser Job: Make a real impact in healthcare with cutting-edge AI research in a vibrant lab environment.
- Gewünschte Qualifikationen: PhD in relevant fields and experience in machine learning/AI required.
- Andere Informationen: Diversity is valued; applications from all backgrounds are encouraged.
Das voraussichtliche Gehalt liegt zwischen 43000 - 60000 € pro Jahr.
Postdoc in Artificial Intelligence for Oncology and Molecule Discovery (f/m/x)
102658
Full time
39 hrs./week
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?
The Institute of AI for Health (AIH) develops solutions for digital health challenges. As an emerging European hub for applied artificial intelligence (AI) and machine learning (ML), we aim at modeling large-scale, high throughput biomedical data, developing new drugs and treatments, analyzing biomedical images, and integrating multi-omics data for precision medicine.
The lab of Prof. Ewa Szczurek works on projects involving processing, analysis, and modeling of state-of-the-art single-cell omics and spatial data with applications in computational oncology, as well as generative AI for design of antimicrobial peptides. Our lab values a friendly and vibrant atmosphere and encourages mutual support. We are looking for independent and perseverant individuals (f/m/x) with dedication to research.
Your tasks
- Development of novel AI methods
- Work on generative AI or probabilistic models
- Analysis of medical and/or molecular data
Your profile
- PhD in computer science, mathematics, physics or related fields
- Experience in machine learning and AI, with proven codebase in public repositories
- Experience or strong willingness to get involved in computational biology
- Publications out of PhD
Benefits
- Career Development: Postdoc program, scientific training & career center with tailored offers
- Scientific Resources: State-of-the-art infrastructure and Core Facilities
- 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
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 Ewa Szczurek, , who will be happy to help.
Your application should include
- CV
- Cover letter
- Degrees/Diplomas/Certificates
- Contact details for at least two referees
30.03.2025
We are Helmholtz Munich.
Why join us?
Helmholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
AI for Health
Ingolstädter Landstraße 1
85764 Oberschleißheim
#J-18808-Ljbffr
Postdoc in Artificial Intelligence for Oncology and Molecule Discovery (f/m/x) Arbeitgeber: Helmholtz Zentrum München
Kontaktperson:
Helmholtz Zentrum München HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Postdoc in Artificial Intelligence for Oncology and Molecule Discovery (f/m/x)
✨Tip Number 1
Make sure to familiarize yourself with the latest advancements in AI and machine learning, especially as they relate to oncology and molecular discovery. This knowledge will not only help you during the interview but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the research community by attending relevant conferences or webinars. Networking with professionals in the field can provide insights into current trends and may even lead to valuable connections that could support your application.
✨Tip Number 3
Consider reaching out to current or former members of Prof. Ewa Szczurek's lab. They can offer first-hand insights about the lab culture and expectations, which can be incredibly beneficial for tailoring your approach.
✨Tip Number 4
Prepare to discuss your previous research and how it aligns with the goals of the Institute of AI for Health. Highlight any experience you have with computational biology, as this is a key aspect of the position.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Postdoc in Artificial Intelligence for Oncology and Molecule Discovery (f/m/x)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Postdoc position. Understand the specific requirements and responsibilities, especially regarding AI methods and computational biology.
Tailor Your CV: Highlight your relevant experience in machine learning, AI, and any publications from your PhD. Make sure to include links to your codebase in public repositories to showcase your technical skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for research and how your background aligns with the goals of Helmholtz Munich. Mention specific projects or experiences that demonstrate your independence and perseverance.
Prepare References: Contact at least two referees who can speak to your qualifications and research capabilities. Ensure they are aware of the position you are applying for and can provide relevant insights into your work.
Wie du dich auf ein Vorstellungsgespräch bei Helmholtz Zentrum München vorbereitest
✨Showcase Your Research Passion
Make sure to express your enthusiasm for research, especially in the fields of artificial intelligence and oncology. Share specific examples from your PhD that highlight your dedication and how it aligns with the mission of Helmholtz Munich.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with machine learning and AI. Highlight any relevant projects or publications, and if possible, provide insights into your codebase in public repositories to showcase your technical skills.
✨Familiarize Yourself with the Lab's Work
Research the lab of Prof. Ewa Szczurek and understand their current projects, especially those related to single-cell omics and generative AI. This will allow you to ask informed questions and demonstrate your genuine interest in their work.
✨Prepare for Behavioral Questions
Expect questions about teamwork and collaboration, as the lab values a friendly atmosphere. Prepare examples that illustrate your ability to work independently while also supporting your colleagues in a vibrant research environment.
