Data Scientist - Machine Learning (m/f/d)- Deutsches Krebsforschungszentrum (DKFZ)

DKFZ Deutsches Krebsforschungszentrum; Heidelberg; Vor Ort; EUR 45.000 - 75.000; Vollzeit

Zusammenfassung

An established industry player is seeking a passionate PhD candidate in AI & Data Science for Cancer Research. This role involves developing AI-driven methods for personalized skin cancer prevention and diagnostics, in collaboration with leading companies. You will contribute to cutting-edge research and work on a pioneering project that aims to revolutionize skin cancer care. The position offers a unique opportunity to engage in impactful research, professional development, and interdisciplinary collaboration at one of Europe's top cancer research institutions. Join a team dedicated to making a real-world impact in cancer diagnostics and treatment.

Leistungen

30 days of vacation per year

Flexible working hours

Family-friendly working environment

Doctoral salary with social benefits

Access to international research networks

Targeted training and mentoring

Corporate Health Management Program

Subsidized Germany job ticket

Qualifikationen

• Master's degree in a relevant field required.
• Strong background in machine learning and data integration is essential.

Aufgaben

• Develop AI-driven models for skin cancer diagnostics and early detection.
• Collaborate with experts to optimize data-driven prevention strategies.

Kenntnisse

Machine Learning

Deep Learning

Data Integration

Computer Vision

Problem-solving

Communication Skills

Fluent in English

Ausbildung

Master’s degree in Data Science

Master’s degree in Computer Science

Master’s degree in Bioinformatics

Master’s degree in Biomedical Engineering

Tools

Python

TensorFlow

PyTorch

Jobbeschreibung

„Research for a life without cancer“ is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts - whether in research, administration or infrastructure. This is what makes our daily work so meaningful and exciting.

The Department of Digital prevention, diagnostics and therapy guidance at the German Cancer Research Center is seeking for as soon as possible a

PhD in AI & Data Science for Cancer Research with Real World Impact

Reference number: 2025-0086

A 20-member team from the fields of medicine, molecular biology and informatics/data science is at the forefront of machine learning for cancer prevention and diagnosis. We are currently working on bringing an AI-powered medical device to market that assists dermatologists in diagnosing melanoma - one of the most dangerous forms of skin cancer while also innovating novel approaches of personalized skin cancer prevention.

Your Tasks

Help shape the future of personalized skin cancer prevention and diagnostics by developing AI-driven methods that integrate diverse biomedical datasets. We seek real world impact, meaning the PhD project is in collaboration with two large German companies (Beiersdorf and HEINE Optotechnik), to help patients benefit from the developed solutions as fast as possible.

As part of this PhD position, you will not only contribute to cutting-edge AI research in dermatology but also lead a key bioinformatics project aimed at integrating multiple data sources for personalized skin cancer prevention. Your work will be instrumental in building a scalable bioinformatic infrastructure that connects epigenetic data, microbiome analyses, and AI-enhanced dermatoscopic imaging.

Your Tasks Will Include

• Development of AI-driven models for skin cancer diagnostics and early detection, with a focus on robustness, explainability, and clinical applicability.
• Building a bioinformatic pipeline that integrates epigenetic profiling (TapeLift), microbiome data, and AI-based image analysis to create predictive models for personalized prevention strategies.
• Designing and validating a digital dashboard for real-time risk stratification and clinical decision-making, ensuring accessibility for both clinicians and patients.
• Collaborating with interdisciplinary experts, including dermatologists, AI researchers, statisticians, and computational biologists, to optimize data-driven prevention strategies.
• Validating the developed models and infrastructure through pilot studies with data from 100 study participants, ensuring real-world applicability.
• Publishing in top-tier scientific journals and contributing to clinical studies to validate the effectiveness of AI-assisted diagnostics.
  
  

Your Profile

We are looking for a highly motivated candidate who is passionate about AI in biomedical research and eager to translate machine learning innovations into real-world clinical applications.

Required Qualifications

• Master’s degree (or equivalent) in Data Science, Computer Science, Bioinformatics, Biomedical Engineering, or a related field.
• Strong background in machine learning, deep learning, and data integration.
• Experience in computer vision and medical image analysis is a plus.
• Proficiency in Python and AI frameworks (TensorFlow/PyTorch).
• Interest or experience in bioinformatics, computational biology, and large-scale data processing.
• Excellent problem-solving and communication skills.
• Fluent in English (German is not required but beneficial).
  
  

How to Apply

Please submit your CV, cover letter, and academic transcripts via our online portal. We look forward to your application.

You Can Look Forward To

• Impactful Research: Work on a pioneering AI-driven prevention and diagnostics project that has the potential to revolutionize skin cancer care.
• Professional Development: Opportunities to attend international conferences, workshops, and specialized AI training programs.
• Interdisciplinary Collaboration: Work alongside leading experts in dermatology, AI, and bioinformatics at one of Europe’s top cancer research institutions.
  
  

We Offer

• Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level
• Access to international research networks
• Doctoral salary with the usual social benefits
• 30 days of vacation per year
• Flexible working hours
• Possibility of part-time work
• Family-friendly working environment
• Sustainable travel to work: subsidized Germany job ticket
• Unleash your full potential: targeted training and mentoring through the DKFZ International PhD Program and DKFZ Career Service
• Our Corporate Health Management Program offers a holistic approach to your well-being