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Scientist - Computational Biology(m/w/x)
Analyzing high-dimensional spatial single-cell data for Molecular Cartography™ Technology in molecular pathology. PhD in biology/bioinformatics and high-dimensional single-cell data analysis experience required. Young life-science company setting.
Requirements
- PhD in biology, bioinformatics, or related field
- Experience analyzing high-dimensional single-cell data
- Preferred computational single cell analysis experience
- Strong foundational understanding of statistics
- Proficiency in R or Python
- Fluorescence microscopy and image analysis experience
- Beneficial familiarity with workflow tools
- Experience in experimental and study design
- Exceptional organizational and prioritization skills
- Structured, team-oriented mindset and communication
- Willingness to travel internationally
Tasks
- Analyze high-dimensional spatial single-cell data
- Apply software tools to multi-omic datasets
- Design and evaluate targeted gene panels
- Identify cell types and cellular neighborhoods
- Analyze differential expression and cell-cell communication
- Assess technical variables on data results
- Use statistical methods to evaluate quality
- Gather requirements from cross-functional teams
- Train internal users on analysis pipelines
- Manage personal work planning and deadlines
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Seurat
- Scanpy
- R
- Python
- Snakemake
- Nextflow
Not a perfect match?
- Medicover Genetics GmbHFull-timeOn-siteExperiencedBerlin, München, Köln
- Uniklinik Köln
Postdoc Researchers / Physician Scientists(m/w/x)
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Key Account Manager(m/w/x)
Full-timeOn-siteSeniorKöln - DocCheck AG
Business Intelligence Analyst(m/w/x)
Full-timeOn-siteExperiencedKöln
Scientist - Computational Biology(m/w/x)
Analyzing high-dimensional spatial single-cell data for Molecular Cartography™ Technology in molecular pathology. PhD in biology/bioinformatics and high-dimensional single-cell data analysis experience required. Young life-science company setting.
Requirements
- PhD in biology, bioinformatics, or related field
- Experience analyzing high-dimensional single-cell data
- Preferred computational single cell analysis experience
- Strong foundational understanding of statistics
- Proficiency in R or Python
- Fluorescence microscopy and image analysis experience
- Beneficial familiarity with workflow tools
- Experience in experimental and study design
- Exceptional organizational and prioritization skills
- Structured, team-oriented mindset and communication
- Willingness to travel internationally
Tasks
- Analyze high-dimensional spatial single-cell data
- Apply software tools to multi-omic datasets
- Design and evaluate targeted gene panels
- Identify cell types and cellular neighborhoods
- Analyze differential expression and cell-cell communication
- Assess technical variables on data results
- Use statistical methods to evaluate quality
- Gather requirements from cross-functional teams
- Train internal users on analysis pipelines
- Manage personal work planning and deadlines
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Seurat
- Scanpy
- R
- Python
- Snakemake
- Nextflow
About the Company
Resolve Biosciences
Industry
Science
Description
Das Unternehmen ist ein junges, dynamisches Life-Science-Unternehmen mit Fokus auf Molekularpathologie und entwickelt die Molecular Cartography™ Technology.
Not a perfect match?
- Medicover Genetics GmbH
Wissenschaftlicher Mitarbeiter Molekulargenetik(m/w/x)
Full-timeOn-siteExperiencedBerlin, München, Köln - Uniklinik Köln
Postdoc Researchers / Physician Scientists(m/w/x)
Full-timeTemporary contractOn-siteManagementKöln - SUSONITY
(Sr.) Medical Science Liaison Rare Disease / Tumour(m/w/x)
Full-time/Part-timeOn-siteSeniorMünchen, Köln, Gießen, Mainz, Frankfurt am Main, Göttingen, Erfurt, Leipzig, Dresden - Genomic Health, Inc.
Key Account Manager(m/w/x)
Full-timeOn-siteSeniorKöln - DocCheck AG
Business Intelligence Analyst(m/w/x)
Full-timeOn-siteExperiencedKöln