Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Heidelberg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop prediction models for prostate cancer and integrate multimodal data. You will process and harmonize large datasets using R or Python and apply statistical methods.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Education
- Master's degree or doctorate in bioinformatics, data science, biostatistics, computational biology, computer science, mathematics, physics or a related field.
Qualifications
- 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.
- Excellent programming skills in R and/or Python.
- Strong expertise in statistics, machine learning and high-dimensional data analysis.
- Independent, structured and quality-oriented working style.
- Excellent English and strong communication skills.
- Enthusiasm for interdisciplinary cancer research and clinical translation.
- We particularly encourage applications from ambitious researchers who strive for methodological excellence and clinically meaningful impact.
Experience
- Experience with feature selection, predictive modelling and robust validation strategies.
- Experience with omics data, multimodal integration, survival analysis or explainable machine learning is advantageous.
- Prior experience in prostate cancer research is not required.
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What 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.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
German Cancer Research Center in the Helmholtz Association
You have the chance to really make a difference as an employee at one of Germany's leading cancer research centers at the DKTK site in Munich with the two clinics to the right of the Isar (MRI) and at the LMU Klinikum (KUM).
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Healthcare, Social Sector
- Location
- Heidelberg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
