Lead Computational Genomics Scientist in Cancer

City of Hope

Phoenix (AZ)

Vor Ort

USD 90.000 - 120.000

Vollzeit

vor 37 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

The GarMiglio Lab at The Translational Genomics Research Institute (TGen) in Phoenix seeks a talented Computational Scientist to develop computational pipelines and data analytical models. Focus areas include spatial single-cell genomics and bulk epigenomics with an emphasis on cancer biology.

The candidate will lead data analysis, interpret results, and contribute to peer‑reviewed manuscripts and grant proposals. Strong coding skills in Python/R and HPC experience are expected.

Qualifikationen

  • Master's or PhD (optional) in Engineering, Computational Biology, Bioinformatics, CS, Mathematics or related field.
  • Deep proficiency or strong interest in molecular cancer biology.
  • Knowledge of basic techniques and methods required by the position.
  • Excellent communication and organizational skills.
  • Ability to manage time and multitask effectively.

Aufgaben

  • Data analysis and interpretation of results.
  • Presentation of findings and preparation of peer‑reviewed manuscripts and grant proposals.
  • Develop computational pipelines and data analytic models for integrating spatial single‑cell genomics and bulk (epi)genomics.

Kenntnisse

Python
R
Machine learning
Genomics data analysis
Bash
HPC

Ausbildung

Master's degree in Computational Biology / related field
PhD in related field (optional)

Tools

Bioconductor
SLURM/Torque
Linux

Jobbeschreibung

The GarMiglio Lab at The Translational Genomics Research Institute (TGen) in Phoenix seeks a talented Computational Scientist to develop computational pipelines and data analytical models. Focus areas include spatial single-cell genomics and bulk epigenomics with an emphasis on cancer biology.

The candidate will lead data analysis, interpret results, and contribute to peer‑reviewed manuscripts and grant proposals. Strong coding skills in Python/R and HPC experience are expected.

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