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Research / Data Scientist in Bioinformatics(m/w/x)
Developing user-friendly data analysis pipelines for mutation calling, RNA-seq, ChIP-seq, CRISPR, and DNA barcoding in sarcoma research. Master's or PhD in bioinformatics or related field required. 30 days vacation, part-time work option.
Requirements
- Master's or PhD degree in bioinformatics, computational biology, statistics, computer science, physics, molecular biotechnology, or related discipline
- Prior bioinformatics training in transcriptomics, epigenomics, and/or genomics
- Strong analytical skills
- Broad experience with scripting languages (e.g., Python, R, Bash)
- Knowledge of common bioinformatics software
- Knowledge of and access to databases
- Basic understanding of biology
- Collaborative nature
- Communicative skills
- Ambitious nature
- Detail-oriented
- Curiosity
- Organizational skills
- Ability to work in a multidisciplinary international team
- Professional time management
- Master's or PhD degree in bioinformatics, computational biology, statistics, computer science, physics, molecular biotechnology, or related discipline
Tasks
- Develop and standardize user-friendly data analysis pipelines for mutation calling.
- Develop and standardize user-friendly data analysis pipelines for bulk and single-cell RNA-seq analysis.
- Develop and standardize user-friendly data analysis pipelines for ChIP-seq/Cut&Run analysis.
- Develop and standardize user-friendly data analysis pipelines for CRISPR screen analysis.
- Develop and standardize user-friendly data analysis pipelines for DNA barcoding analysis.
- Integrate large-scale single-cell RNA-seq datasets.
- Develop user-friendly applications for data exploration.
- Conduct data analysis for diverse scientific topics.
- Collaborate with PhD students and postdocs on data analysis.
- Train students and postdocs in basic data analysis pipeline implementation.
- Train students and postdocs in bioinformatics workflows.
Education
- Vocational certification
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- Bash
Benefits
More Vacation Days
- 30 days vacation
Flexible Working
- Flexible working hours
- Part-time work option
Retirement Plans
- Company pension scheme
Additional Allowances
- Capital-forming benefits
Family Support
- Family-friendly work environment
Public Transport Subsidies
- Subsidized Germany job ticket
Learning & Development
- Personal development offers
Other Benefits
- Occupational health management
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Research / Data Scientist in Bioinformatics(m/w/x)
Developing user-friendly data analysis pipelines for mutation calling, RNA-seq, ChIP-seq, CRISPR, and DNA barcoding in sarcoma research. Master's or PhD in bioinformatics or related field required. 30 days vacation, part-time work option.
Requirements
- Master's or PhD degree in bioinformatics, computational biology, statistics, computer science, physics, molecular biotechnology, or related discipline
- Prior bioinformatics training in transcriptomics, epigenomics, and/or genomics
- Strong analytical skills
- Broad experience with scripting languages (e.g., Python, R, Bash)
- Knowledge of common bioinformatics software
- Knowledge of and access to databases
- Basic understanding of biology
- Collaborative nature
- Communicative skills
- Ambitious nature
- Detail-oriented
- Curiosity
- Organizational skills
- Ability to work in a multidisciplinary international team
- Professional time management
- Master's or PhD degree in bioinformatics, computational biology, statistics, computer science, physics, molecular biotechnology, or related discipline
Tasks
- Develop and standardize user-friendly data analysis pipelines for mutation calling.
- Develop and standardize user-friendly data analysis pipelines for bulk and single-cell RNA-seq analysis.
- Develop and standardize user-friendly data analysis pipelines for ChIP-seq/Cut&Run analysis.
- Develop and standardize user-friendly data analysis pipelines for CRISPR screen analysis.
- Develop and standardize user-friendly data analysis pipelines for DNA barcoding analysis.
- Integrate large-scale single-cell RNA-seq datasets.
- Develop user-friendly applications for data exploration.
- Conduct data analysis for diverse scientific topics.
- Collaborate with PhD students and postdocs on data analysis.
- Train students and postdocs in basic data analysis pipeline implementation.
- Train students and postdocs in bioinformatics workflows.
Education
- Vocational certification
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- Bash
Benefits
More Vacation Days
- 30 days vacation
Flexible Working
- Flexible working hours
- Part-time work option
Retirement Plans
- Company pension scheme
Additional Allowances
- Capital-forming benefits
Family Support
- Family-friendly work environment
Public Transport Subsidies
- Subsidized Germany job ticket
Learning & Development
- Personal development offers
Other Benefits
- Occupational health management
About the Company
The German Cancer Research Center (DKFZ)
Industry
Research
Description
The company is one of Europe’s largest cancer research centers, focused on research for a life without cancer.
Not a perfect match?
- Octapharma Biopharmaceuticals GmbH
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Full-timeOn-siteSeniorHeidelberg - European Molecular Biology Laboratory
Scientific Workflows Developer(m/w/x)
Full-timeOn-siteExperiencedHeidelbergfrom 4,031.02 / month - German Cancer Research Center
Postdoc – Spatial Single-Cell Perturbation Maps(m/w/x)
Full-timeOn-siteNot specifiedHeidelberg - Octapharma Biopharmaceuticals GmbH
Scientist R&D Molecular Design(m/w/x)
Full-timeOn-siteExperiencedHeidelberg - AbbVie
Software Developer / Senior Scientist I for Laboratory Automation (Robotics Applications)(m/w/x)
Full-timeOn-siteSeniorLudwigshafen am Rhein