National Center for Tumor Diseases and the German Cancer Research Center
Postdoctoral Scientist in Translational Bioinformatics and Pharmacogenomics(m/w/x)
Full-timeWith HomeofficeExperienced
Heidelberg
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EMEMBL
Postdoc / Research Scientist Computational Precision Oncology(m/w/x)
Heidelberg
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Developing prognostic ML models for CAR T cell treatment, analyzing multimodal omics data in precision oncology at research group collaborating on clinical studies. PhD in relevant science field and research outputs required. Monthly family and child allowances, generous stipend, pension scheme.
Requirements
- PhD degree in relevant science field
- Understanding of biostatistics and machine learning
- Relevant research experience and scientific outputs
- Strong analytical and programming skills
- Experience in Unix and high-performance computing
- Development of reproducible data analysis pipelines
- Ability to work independently and collaboratively
- Attention to detail and precision
- Written and spoken English communication skills
- Background in cancer biology (optional)
- Experience in data management (optional)
Tasks
- Develop prognostic machine learning models for CAR T cell treatment
- Analyze multimodal spatial and single-cell omics data
- Process dynamic peripheral blood sequencing data
- Coordinate with domain experts and data producers
- Oversee the end-to-end data flow and management
- Perform quality assessment and feature engineering
- Derive mechanistic hypotheses for experimental testing
- Conduct independent research and biomedical discovery
- Standardize workflows and interoperability protocols
- Implement open science and data curation practices
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Unix
- Quarto
Benefits
Learning & Development
- Professional development support
Mentorship & Coaching
- Career planning guidance
Additional Allowances
- Monthly family and child allowances
- Generous stipend reviewed yearly
Retirement Plans
- Pension scheme
Other Benefits
- Death benefit insurance
- On-site library
- Relocation package
Flexible Working
- Flexible working arrangements
- Hybrid working patterns
Healthcare & Fitness
- Private medical insurance
More Vacation Days
- 30 days annual leave
Parking & Commuter Benefits
- Free shuttle bus
Free or Subsidized Food
- Subsidised on-site cafeteria
Informal Culture
- Casual dress code
Team Events
- Sports and social club activities
Childcare
- On-site kindergarten
- Holiday clubs on campus
Family Support
- 10 days child sick leave
Generous Parental Leave
- Paid maternity and parental leave
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of EMBL and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- European Molecular Biology Laboratory
Research Software Engineer - Spatial-omics(m/w/x)
Full-timeWith HomeofficeExperiencedHeidelbergfrom 4,031.02 / month - European Molecular Biology Laboratory
Laboratory Officer (Bioinformatics / Computational Biology)(m/w/x)
Full-timeWith HomeofficeSeniorHeidelberg - German Cancer Research Center (DKFZ)
Scientific Solution Architect(m/w/x)
Full-timeWith HomeofficeSeniorHeidelberg - German Cancer Research Center (DKFZ)
Scientific Coordinator(m/w/x)
Full-time/Part-timeWith HomeofficeExperiencedHeidelberg
EMEMBL
Postdoc / Research Scientist Computational Precision Oncology(m/w/x)
Heidelberg
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Developing prognostic ML models for CAR T cell treatment, analyzing multimodal omics data in precision oncology at research group collaborating on clinical studies. PhD in relevant science field and research outputs required. Monthly family and child allowances, generous stipend, pension scheme.
Requirements
- PhD degree in relevant science field
- Understanding of biostatistics and machine learning
- Relevant research experience and scientific outputs
- Strong analytical and programming skills
- Experience in Unix and high-performance computing
- Development of reproducible data analysis pipelines
- Ability to work independently and collaboratively
- Attention to detail and precision
- Written and spoken English communication skills
- Background in cancer biology (optional)
- Experience in data management (optional)
Tasks
- Develop prognostic machine learning models for CAR T cell treatment
- Analyze multimodal spatial and single-cell omics data
- Process dynamic peripheral blood sequencing data
- Coordinate with domain experts and data producers
- Oversee the end-to-end data flow and management
- Perform quality assessment and feature engineering
- Derive mechanistic hypotheses for experimental testing
- Conduct independent research and biomedical discovery
- Standardize workflows and interoperability protocols
- Implement open science and data curation practices
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Unix
- Quarto
Benefits
Learning & Development
- Professional development support
Mentorship & Coaching
- Career planning guidance
Additional Allowances
- Monthly family and child allowances
- Generous stipend reviewed yearly
Retirement Plans
- Pension scheme
Other Benefits
- Death benefit insurance
- On-site library
- Relocation package
Flexible Working
- Flexible working arrangements
- Hybrid working patterns
Healthcare & Fitness
- Private medical insurance
More Vacation Days
- 30 days annual leave
Parking & Commuter Benefits
- Free shuttle bus
Free or Subsidized Food
- Subsidised on-site cafeteria
Informal Culture
- Casual dress code
Team Events
- Sports and social club activities
Childcare
- On-site kindergarten
- Holiday clubs on campus
Family Support
- 10 days child sick leave
Generous Parental Leave
- Paid maternity and parental leave
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of EMBL and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
EMBL
Industry
Research
Description
The Huber group develops statistical and machine learning methods for omics data and collaborates with biomedical researchers on clinical studies.
Not a perfect match?
- National Center for Tumor Diseases and the German Cancer Research Center
Postdoctoral Scientist in Translational Bioinformatics and Pharmacogenomics(m/w/x)
Full-timeWith HomeofficeExperiencedHeidelberg - European Molecular Biology Laboratory
Research Software Engineer - Spatial-omics(m/w/x)
Full-timeWith HomeofficeExperiencedHeidelbergfrom 4,031.02 / month - European Molecular Biology Laboratory
Laboratory Officer (Bioinformatics / Computational Biology)(m/w/x)
Full-timeWith HomeofficeSeniorHeidelberg - German Cancer Research Center (DKFZ)
Scientific Solution Architect(m/w/x)
Full-timeWith HomeofficeSeniorHeidelberg - German Cancer Research Center (DKFZ)
Scientific Coordinator(m/w/x)
Full-time/Part-timeWith HomeofficeExperiencedHeidelberg