Better together. For life.
At the University Medical Center Hamburg-Eppendorf (UKE), we are committed to excellence in research, education, and comprehensive healthcare across our clinics. Every day, our team of approximately 17,000 dedicated employees works to make the world a healthier place. Our goal is to be one of the leading university hospitals while also being the best employer in our industry.
At UKE, we believe that meaningful and successful work should align with our employees' personal needs and individual lifestyles. Just as diverse as these needs are, so too is the variety of personalized solutions we offer.
Welcome to the UKE.
Research Associate Junior (all genders) - Computational Pediatric Oncology at the Research Institute Children's Cancer Center
- Job-ID: J000006993
- Contract Type: Temporary
- Employment Type: Full time/ Part time
- Closing Date: 21.10.2026
- Organization: UKE_Zentrum für Geburtshilfe, Kinder- u. Jugendmedizin
- Category: Research & Science
Main tasks
The Research Institute Children's Cancer Centre at the University Medical Center Hamburg-Eppendorf is looking for a highly motivated research assistant (PhD/Postdoc) in the Computational Pediatric Oncology working group (headed by Prof. Dr. Michael Bockmayr) starting 01.01.2027. A later start can be accomodated in principle. Doctoral studies may be pursued as part of this position.
The research group is dedicated to the development of quantitative methods for paediatric hematology and oncology. You will be involved in an exciting project that uses machine learning methods to enable more accurate predictions of diagnosis, survival, and therapy response in cancer from high-dimensional omics data, particularly DNA methylation data.
Strong individualized support is guaranteed throughout the entire period. In addition, you can expect a motivated and dynamic team of physicians, natural scientists, bioinformaticians, technical assistants, and students at the Research Institute, who are investigating pediatric cancers as part of various projects and with different approaches.
Your tasks:
- Development and evaluation of clinically relevant classification algorithms using machine learning methods on high-dimensional omics datasets
- Close collaboration with partners in the field of machine learning and other research groups at the Children's Cancer Center
- Presentation of research results at international conferences and publication as first author in recognized journals
The position is temporary for two years due to third-party funding and project duration and may be extended.
Your Profile
- Completed scientific university studies in the field of machine learning, bioinformatics, computer science, data science, applied mathematics, physics, biomedical engineering or another relevant field
- Proven programming experience, especially in Python, good knowledge of ML frameworks such as PyTorch or TensorFlow. Programming experience in R is a plus.
- Excellent knowledge of current machine learning methods
- Excellent communication skills and ability to collaborate across disciplines
- Proficiency in written and spoken English; familiarity with German is a plus
- Experience with representation learning, transformer architectures, foundation models and explainable AI (XAI) is a plus.
- Knowledge of DNA methylation data processing, in particular array- and (Nanopore-) sequencing-based data, is a plus but not mandatory, as we care more about your computational skills.
- Knowledge of UNIX-based operating systems and version control software is desirable
We look forward to receiving a detailed application including a letter of motivation, CV, references, degree certificates, transcript of records and, if possible, links to code examples, theses or publications.
Immunity status
Please note that employment is contingent upon proof of immunization or immunity against the measles virus, in accordance with applicable legal and medical requirements. Documentation (e.g., vaccination certificate) must be provided before employment begins.
Our Offer
- Fair and transparent compensation in accordance with our collective bargaining agreement (TVöD/VKA) (€ 63,600 – € 91,100), taking into account qualifications and professional experience. The salary range applies to a full-time position of 38.5 hours per week. The amounts listed are guidelines and do not constitute a salary guarantee.
- Targeted and individualized professional development at both the technical and project levels is provided, offering long-term prospects in a meaningful work environment
- Comprehensive continuing education and training programs at our UKE Academy for Education and Career
- Opportunities to help shape our “UKE INside” personnel policy through cross-functional and cross-hierarchical 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: Partnerships for childcare, free vacation care, counseling for employees with family members requiring care
- A secure job, meaningful work, and a supportive team environment
- Structured onboarding and open knowledge sharing within the team
- Our employee restaurant offers a wide variety of culinary options; additional options are available at the “Health Kitchen” cafés and bistros and at a supermarket located directly on the premises
Contact
Contact to the department
Prof. Dr. Michael Bockmayr
m.bockmayr@uke.de
Recruiting contact
Recruiting Team
+49 (0) 40 7410-52599
About us
We live diversity and value variety
We offer a work environment that provides equal opportunities regardless of age, gender, sexual identity, disability, ethnic and social origin, or religion. This is confirmed by our accession to the Charter of Diversity. We explicitly aim to increase the proportion of women in management positions, especially among scientific personnel in research and teaching. Women with equal qualifications will be given priority. The same applies in the case of under-representation of one gender in the advertised area. Persons with severe disabilities with equal aptitude, competence, and professional performance will be given priority.
Learn more about "Diversity at UKE" here.