Medicover Genetics GmbH
Wissenschaftlicher Mitarbeiter Molekulargenetik(m/w/x)
Full-timeOn-siteExperienced
Berlin, München, Köln
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REResolve Biosciences
Scientist - Computational Biology(m/w/x)
Monheim am Rhein
Full-timeOn-siteExperienced
Nejo AI Summary
You will drive biological discovery by analyzing complex spatial data and designing gene panels, collaborating with experts to translate high-dimensional datasets into meaningful insights.
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
SeuratScanpyRPythonSnakemakeNextflow
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Resolve Biosciences 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.
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REResolve Biosciences
Scientist - Computational Biology(m/w/x)
Monheim am Rhein
Full-timeOn-siteExperienced
Nejo AI Summary
You will drive biological discovery by analyzing complex spatial data and designing gene panels, collaborating with experts to translate high-dimensional datasets into meaningful insights.
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
SeuratScanpyRPythonSnakemakeNextflow
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Resolve Biosciences 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
Resolve Biosciences
Industry
Science
Description
Das Unternehmen ist ein junges, dynamisches Life-Science-Unternehmen mit Fokus auf Molekularpathologie und entwickelt die Molecular Cartography™ Technology.
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