Lead Computational Biologist, Cancer Genomics & Spatial

City of Hope; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

GarMiglio Lab at The Translational Genomics Research Institute (TGen) in Phoenix seeks a computational scientist to develop pipelines and models that integrate spatial single-cell genomics with bulk epigenomics and genomics data. The role emphasizes leadership, data interpretation and preparing manuscripts and grant proposals.

Ideal candidates have 1+ years of research experience, strong Python/R skills, and familiarity with high-performance computing environments such as SLURM.

Qualifications

• Master's or PhD in a related field such as Engineering, Computational Biology, Bioinformatics, CS, Mathematics, or Statistics.
• Deep proficiency or strong interest in molecular cancer biology.
• Knowledge of or experience with basic techniques and methods used in computational genomics.
• Excellent communication and organizational skills.
• Ability to manage time and multitask effectively.

Responsibilities

• Take a leadership role in ongoing projects and develop new research ideas.
• Perform data analysis and interpret results.
• Present findings and prepare peer-reviewed manuscripts and grant proposals.

Skills

Python

R

Machine learning

Single-cell genomics

Genomics data integration

Time management

Communication

Education

Master's or PhD in Engineering/Computational Biology/Bioinformatics/CS/Math/Statistics

Tools

SLURM

Torque/PBS

Bioconductor

Job description

GarMiglio Lab at The Translational Genomics Research Institute (TGen) in Phoenix seeks a computational scientist to develop pipelines and models that integrate spatial single-cell genomics with bulk epigenomics and genomics data. The role emphasizes leadership, data interpretation and preparing manuscripts and grant proposals.

Ideal candidates have 1+ years of research experience, strong Python/R skills, and familiarity with high-performance computing environments such as SLURM.