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Computational Biologist(m/w/x)
Building scalable analysis tools for omics data platform, integrating multimodal datasets and single-cell images in computational life sciences. MSc and research experience in data products required. Inclusive work environment.
Requirements
- Training in Computational Biology or related discipline
- MSc and research experience in data products
- Interest for computational life sciences
- Knowledge in single-cell, NGS, and proteomics
- Creativity and outstanding problem-solving skills
- Strong full-stack developer with Python focus
- Exceptional programming skills in Python
- Familiarity with scverse and LaminLabs tooling
- Proficiency in AI/ML libraries including PyTorch
- Expertise in software engineering and tooling
- Experience in handling large heterogeneous datasets
- Ability to take ideas to production
- Strong interpersonal and collaborative skills
Tasks
- Develop scalable analysis tools for the omics data platform
- Establish innovative machine learning methods for omics data
- Process and integrate internal multimodal omics datasets
- Analyze single-cell images and multimodal models
- Streamline curation of public domain datasets
- Build and maintain robust analysis pipelines
- Implement spatial omics data analysis methods
- Create advanced data visualization techniques
Work Experience
- approx. 1 - 4 years
Education
- Vocational certification
Languages
- English – Business Fluent
Tools & Technologies
- Python
- scverse
- LaminLabs
- AI/ML libraries
- PyTorch
- Lightning
Benefits
Other Benefits
- Equal opportunity employer
- Reasonable accommodations for applicants
Informal Culture
- Inclusive work environment
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Computational Biologist(m/w/x)
Building scalable analysis tools for omics data platform, integrating multimodal datasets and single-cell images in computational life sciences. MSc and research experience in data products required. Inclusive work environment.
Requirements
- Training in Computational Biology or related discipline
- MSc and research experience in data products
- Interest for computational life sciences
- Knowledge in single-cell, NGS, and proteomics
- Creativity and outstanding problem-solving skills
- Strong full-stack developer with Python focus
- Exceptional programming skills in Python
- Familiarity with scverse and LaminLabs tooling
- Proficiency in AI/ML libraries including PyTorch
- Expertise in software engineering and tooling
- Experience in handling large heterogeneous datasets
- Ability to take ideas to production
- Strong interpersonal and collaborative skills
Tasks
- Develop scalable analysis tools for the omics data platform
- Establish innovative machine learning methods for omics data
- Process and integrate internal multimodal omics datasets
- Analyze single-cell images and multimodal models
- Streamline curation of public domain datasets
- Build and maintain robust analysis pipelines
- Implement spatial omics data analysis methods
- Create advanced data visualization techniques
Work Experience
- approx. 1 - 4 years
Education
- Vocational certification
Languages
- English – Business Fluent
Tools & Technologies
- Python
- scverse
- LaminLabs
- AI/ML libraries
- PyTorch
- Lightning
Benefits
Other Benefits
- Equal opportunity employer
- Reasonable accommodations for applicants
Informal Culture
- Inclusive work environment
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Pfizer Pharma GmbH
Industry
Pharmaceuticals
Description
Das Unternehmen arbeitet daran, das Wohlbefinden und die Heilungschancen gegen schwerwiegende Erkrankungen zu verbessern.
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