Job
- Level
- Junior
- Location
- Hamburg
- Working Model
- Onsite
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Temporary employment
- Salary
- 63.600 to 91.100€ gross/year
Job Summary
In this role, you develop machine learning methods to analyze and integrate spatial omics data, aiming to explore molecular heterogeneity in kidney diseases and establish clinical correlations.
Job Technologies
Your role in the team
- You develop computer-aided and machine learning methods to analyze and integrate spatial omics data of various resolutions and technologies, aiming to characterize tissue organization.
- In addition, a goal is to derive the molecular heterogeneity of kidney diseases in a data-driven manner and to relate it to clinical measurements.
- Depending on your background and interests, the focus of your project may be on the integration and analysis of spatial omics data or on deep learning methods that leverage the higher-dimensional structure of tissue; both approaches are closely interconnected within the consortium.
- The methods are applied to a well-characterized cohort of human kidney biopsies, evaluated in collaboration with our partners, and released as open-source software.
- You present your results at international conferences and publish in peer-reviewed journals.
- This position is limited to 36 months with 65% of the regular weekly working hours and is to be filled by January 1, 2027 (or as soon as possible).
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Our expectations of you
Education
- Completed master's degree (or equivalent) in Bioinformatics, Computer Science, Computational Biology, Physics, Mathematics, Statistics, or a related quantitative field.
Qualifications
- Solid foundations in statistics and machine learning, as well as interest in geometric or topological deep learning, Graph Neural Networks, or related methods.
- Interest in biomedical questions and willingness to work closely with clinicians as well as experimental scientists.
- Good spoken and written English skills; German language skills are not required.
- Independent, meticulous, and team-oriented working style.
Experience
- Excellent programming skills in Python and experience with scientific Python libraries; experience with deep learning frameworks (PyTorch or comparable) is required.
- Experience with single-cell or spatial omics data or with computational pathology is an advantage but not a requirement.
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What we offer
- A fully funded doctoral position in a newly established, BMFTR-funded junior consortium with a clearly defined research program and dedicated funds for travel and conferences.
- Work on current AI methods with direct clinical relevance.
- Access to extensive multimodal biomedical datasets and modern GPU infrastructure.
- Close collaboration with clinicians, biologists, and AI researchers in a highly interdisciplinary environment.
- Opportunity for publication in leading international journals and at conferences.
- Fair and transparent compensation according to our collective agreement TVöD/VKA (€63,600 - €91,100), taking into account qualifications and professional experience.
- Targeted and personalized development at the professional and project level is provided, offering a long-term perspective in a meaningful environment.
- Extensive training and development programs at our UKE Academy for Education and Career.
- Opportunities to shape our personnel policy "UKE INside" in cross-departmental and cross-hierarchy projects.
- Sustainable commuting: Subsidies for the Deutschlandticket as a job ticket and Dr. Bike bicycle service.
- Excellent health, prevention, and sports programs.
- Family-friendly work environment: partnership for childcare, free holiday care, consulting for employees with caregiving responsibilities for family members.
- Crisis-proof job, meaningful work, appreciative collaboration.
- Structured onboarding and open knowledge exchange within the team.
- Our employee restaurant offers a wide selection of culinary options; additional offerings are available in the "Health Kitchen" cafés and bistros, as well as in a supermarket located directly on the premises.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
UKE - Universitätsklinikum Hamburg-Eppendorf
Wir sind das UKE. Die pulsierende Gesundheitsstadt inmitten von Hamburg. Wo so viel Energie in der Luft liegt und der Fortschritt den Takt angibt, ist kein Tag wie der andere. Über 11.000 Mitarbeiterinnen und Mitarbeiter mit sehr unterschiedlichen Aufgaben eint hier das gleiche Ziel: das Wohl des Menschen.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector
PhD position in computational biology and deep learning
- Salary
- 63.600 to 91.100€ gross/yearEstimated net salary based on the gross salary in the job ad using tax class I.39.388 to 53.809 € net/year · Tax class I
- Location
- Hamburg
- Working Model
- Onsite
- Diversity
- Open for all genders
