Senior Computational Scientist scRNA-seq Analysis

Job Description

PhD degree in quantitative field (e.g., Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics) or in the physical or life sciences (e.g., Chemistry, Biology) with a strong quantitative focus.

Required Skills

• Proven track record of analyzing large-scale multi-conditional scRNA-seq datasets
• Demonstrated interest in problems across biology and chemistry as applied to the discovery and development of treatments for disease
• Proficiency in scientific programming in Python
• Strong background in statistics, probabilistic modeling and data analysis
• Excellent communication, collaboration, and problem-solving skills
• Strong publication record and experience contributing to research communities

Preferred Skills

• Experience with the analysis of Perturb-seq/CROP-seq data, or more generally with CRISPR data
• Multimodal data integration, in particular between multiple measurement modalities and/or clinical patient data
• Experience with workflow managers such as nextflow or snakemake
• Practical experience with working on HPC systems / SLURM

Responsibilities

Analyze large-scale high-content sequencing-based perturbation datasets

Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.

Qualifications

Must Have Skills/Attributes:

• CRISPR
• Python
• Statistics

Nice To Have Skills/Attributes:

• Research Experience

Benefits

For information and details on employment benefits offered with this position, please visit here.

Contact Information

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