Computational Biology: Single-Cell & Spatial Genomics Co‑Op

Bayer AG

Chesterfield (MO)

Vor Ort

USD 48.000 - 90.000

Vollzeit

vor 40 Stunden
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

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Vision
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PTO
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Zusammenfassung

Bayer invites applications for a Computational Biology Co-Op focused on single-cell and spatial transcriptomics analysis. You will work with a team of computational biologists and genomics scientists to uncover biological insights and evaluate new methods. The role emphasizes reproducible workflows, documentation, and communicating results to project teams.

Ideal candidates are pursuing a Master’s or Ph.D. in a related field with strong R/Python skills and familiarity with transcriptomics; you

Qualifikationen

  • Pursuing a Master’s or Ph.D. in a relevant field.
  • Experience with biological data analysis using R and/or Python.
  • Familiarity with transcriptomics, single-cell sequencing, or spatial biology data.
  • Knowledge of statistical modeling and data visualization techniques.
  • Strong problem-solving, communication, and organizational skills.
  • Ability to work both independently and collaboratively in a multidisciplinary research environment.

Aufgaben

  • Analyze single-cell and spatial transcriptomics datasets using modern computational approaches.
  • Perform in-depth exploration of existing datasets to identify novel biological insights and hypotheses.
  • Conduct literature reviews to identify emerging analytical methods and relevant biological findings.
  • Create reproducible analysis workflows and document computational methods.
  • Present findings, visualizations, and recommendations to multidisciplinary project teams.

Kenntnisse

R
Python
Statistical modeling
Data visualization
Communication
Problem-solving
Collaboration

Ausbildung

Master’s or Ph.D. in Bioinformatics/Computational Biology/Genetics/Genomics/Data Science/CS/Statistics

Jobbeschreibung

Bayer invites applications for a Computational Biology Co-Op focused on single-cell and spatial transcriptomics analysis. You will work with a team of computational biologists and genomics scientists to uncover biological insights and evaluate new methods. The role emphasizes reproducible workflows, documentation, and communicating results to project teams.

Ideal candidates are pursuing a Master’s or Ph.D. in a related field with strong R/Python skills and familiarity with transcriptomics; you

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