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Post Doctoral Research Scientist - Bioinformatics(m/w/x)
Analysis of spatial transcriptomics, single-cell, and immunofluorescence data for 3D tumor cell models. PhD in related field, strong R/Python skills required. International conference presentations.
Requirements
- Doctoral degree (PhD) in bioinformatics, applied bioinformatics, or related discipline
- Experience in analysis of spatial transcriptomics and single-cell RNA sequencing data, as well as multi-omics datasets
- Strong interest in life science applications with focus on oncology and personalized medicine
- Strong programming skills in R and Python
- Solid background in cancer biology
- Knowledge in biostatistics would be beneficial
- Excellent English written and oral communication skills
Tasks
- Conduct bioinformatic analysis of transcriptomics data
- Analyze spatial transcriptomics and single-cell datasets
- Examine spatial multiplex immunofluorescence data
- Develop novel bioinformatics solutions
- Perform functional studies using 3D tumor cell models
- Investigate tumor biology in renal cell carcinoma
- Analyze multi-omics data focusing on single-cell and spatial transcriptomics
- Integrate multi-omics datasets, including genomics and metabolomics
- Apply biostatistics and bioinformatics to clinical phenotypes and -omics data
- Utilize established tools and develop new computational solutions
- Present scientific results at international conferences
- Write papers for high-quality publications
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
Benefits
Informal Culture
- Opportunity to work in an interactive team
Modern Equipment
- State-of-the-art equipment and technologies
Career Advancement
- Opportunity to communicate scientific results at international conferences
Learning & Development
- Participation in workshops
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Post Doctoral Research Scientist - Bioinformatics(m/w/x)
Analysis of spatial transcriptomics, single-cell, and immunofluorescence data for 3D tumor cell models. PhD in related field, strong R/Python skills required. International conference presentations.
Requirements
- Doctoral degree (PhD) in bioinformatics, applied bioinformatics, or related discipline
- Experience in analysis of spatial transcriptomics and single-cell RNA sequencing data, as well as multi-omics datasets
- Strong interest in life science applications with focus on oncology and personalized medicine
- Strong programming skills in R and Python
- Solid background in cancer biology
- Knowledge in biostatistics would be beneficial
- Excellent English written and oral communication skills
Tasks
- Conduct bioinformatic analysis of transcriptomics data
- Analyze spatial transcriptomics and single-cell datasets
- Examine spatial multiplex immunofluorescence data
- Develop novel bioinformatics solutions
- Perform functional studies using 3D tumor cell models
- Investigate tumor biology in renal cell carcinoma
- Analyze multi-omics data focusing on single-cell and spatial transcriptomics
- Integrate multi-omics datasets, including genomics and metabolomics
- Apply biostatistics and bioinformatics to clinical phenotypes and -omics data
- Utilize established tools and develop new computational solutions
- Present scientific results at international conferences
- Write papers for high-quality publications
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
Benefits
Informal Culture
- Opportunity to work in an interactive team
Modern Equipment
- State-of-the-art equipment and technologies
Career Advancement
- Opportunity to communicate scientific results at international conferences
Learning & Development
- Participation in workshops
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Robert Bosch Krankenhaus GmbH
Industry
Healthcare
Description
Das Robert Bosch Krankenhaus ist ein Krankenhaus der Zentralversorgung mit Funktionen der Maximalversorgung und bietet ein vielseitiges Bildungsangebot für Gesundheitsberufe.
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