Heidelberg, Germany Resumo da oferta
The German Cancer Research Center (DKFZ) in Heidelberg is recruiting a Data Scientist for its Junior Clinical Cooperation Unit on Multi‑Omics and Machine Learning for Prostate Cancer Early Detection. The role involves leading computational analysis of multimodal prostate cancer cohorts, building reproducible pipelines in R/Python, integrating clinical, proteomic, imaging and longitudinal data, and applying statistical and machine‑learning methods for biomarker discovery and risk prediction. Candidates should hold a Master’s or PhD in a quantitative field, have strong programming and statistical skills, and be able to work independently in an interdisciplinary team. The position is full‑time, initially 2 years with possible extension, offering competitive remuneration, 30 days vacation, flexible hours, and a supportive research environment.
Gerado a partir do conteúdo guardado da oferta. Confirme sempre os detalhes no anúncio oficial.
Descrição do projeto
The German Cancer Research Center (DKFZ) is one of Europe’s largest cancer research centers. “Research for a life without cancer" is the mission of our world-class scientists and all our team members.
The DKFZ is a place where the brightest minds pursue bold ideas and seek answers to pioneering scientific questions through collaboration, innovation, and exploration across many disciplines. We provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network.
Contribute your knowledge, vision, and dedication to create a space where scientific discovery in cancer research is transformed into benefits for human health.
The Junior Clinical Cooperation Unit "Multiparametric Methods for Early Detection of Prostate Cancer" is seeking, starting at the earliest date possible, a
Guided by our mission, “Research for a life without cancer,” the DKFZ investigate the biological basis of cancer and develop innovative approaches for cancer prevention, early detection, diagnosis, and treatment.
The Junior Clinical Cooperation Unit “Multiparametric Methods for Early Detection of Prostate Cancer”, led by PD Dr. med. Magdalena Görtz, operates at the interface of the DKFZ and the Department of Urology at Heidelberg University Hospital. Our interdisciplinary team integrates clinical research, medical imaging, biostatistics, and machine learning to develop clinically relevant tools for individualized cancer detection and risk stratification.
Your Tasks
You will take a leading role in the computational analysis of multimodal prostate cancer cohorts, integrating clinical, proteomic, imaging and longitudinal data into clinically meaningful prediction models.
- Develop reproducible analysis pipelines in R and/or Python
- Process, harmonize and integrate high-dimensional multimodal datasets
- Apply statistical and machine-learning methods for biomarker discovery and risk prediction
- Perform rigorous model validation and assess clinical utility
- Interpret and visualize results with a focus on robustness, transparency and clinical relevance
- Contribute to high-quality publications and collaborate closely with clinical and scientific partners
Your Profile
We are looking for an ambitious scientist with excellent quantitative training, high scientific standards and the motivation to take substantial responsibility within an interdisciplinary research project.
- Master’s degree or doctorate in bioinformatics, data science, biostatistics, computational biology, computer science, mathematics, physics or a related field
- Excellent programming skills in R and/or Python
- Strong expertise in statistics, machine learning and high-dimensional data analysis
- Experience with feature selection, predictive modelling and robust validation strategies
- Independent, structured and quality-oriented working style
- Excellent English and strong communication skills
- Enthusiasm for interdisciplinary cancer research and clinical translation
Experience with omics data, multimodal integration, survival analysis or explainable machine learning is advantageous. Prior experience in prostate cancer research is not required. We particularly encourage applications from ambitious researchers who strive for methodological excellence and clinically meaningful impact.
We Offer
Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level
30 days of vacation per year
Flexible working hours
Remuneration according to TV-L incl. occupational pension plan and capital-forming payments
Possibility of mobile work and part-time work
Family-friendly working environment
Sustainable travel to work: subsidized Germany job ticket
Unleash your full potential: targeted offers for your personal development to further develop your talents
Our Corporate Health Management Program offers a holistic approach to your well-being
Are you interested?
Then become part of the DKFZ and join us in contributing to a life without cancer!
Contact:
Dr. Magdalena Görtz
Phone: +49 (0)6221/42-2603
Duration: The position is initially limited to 2 years with the possibility of prolongation. Application Deadline: September 7, 2026
Applications by e-mail cannot be accepted. Please also note that we cannot return applications submitted by post.
We are convinced that an innovative research and working environment thrives on the diversity of its employees. Therefore, we welcome applications from talented people, regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical ability, religion and age. People with severe disabilities are given preference if they have the same aptitude.
Notice: We are subject to the regulations of the Infection Protection Act (IfSG). Therefore, all our employees must provide proof of immunity against measles.
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