Computational Biologist, Single-Cell Genomics

New York Genome Center; City of Niagara Falls (NY); On-site; USD 65,000 - 85,000; Full time

Job summary

The Satija lab at the New York Genome Center is seeking an enthusiastic computational biologist to develop new statistical methods and software for single-cell data analysis. You will work closely with PhD students, postdoctoral fellows, and other computational biologists to advance methods and software for single-cell datasets.

Responsibilities include developing computational methods, contributing to open-source code, assisting in data interpretation, maintaining lab servers, and presenting

Qualifications

• BS or MS degree in bioinformatics, computer science, biology, biochemistry or similar.
• Excellent programming skill, for example, in R, Python, and BASH.
• Experience working in a Linux environment.
• Team oriented with excellent written and verbal communication skills.
• Training in statistics or machine learning preferred.
• Exposure or training in NGS data analysis, functional genomics and/or human genetics preferred.

Responsibilities

• Develop computational methods to analyze single-cell genomics datasets.
• Contribute to the codebase, development, and support of open-source software packages.
• Assist in data analysis and interpretation for diverse research projects.
• Help to manage lab servers and computational infrastructure.
• Document and present results in written or oral reports to other lab members.

Skills

R

Python

Bash

Linux

Team oriented communication

Statistics or ML

NGS data analysis

Education

BS or MS in bioinformatics, computer science, biology, biochemistry or similar

Job description

The Satija lab at the New York Genome Center is seeking an enthusiastic computational biologist to develop new statistical methods and software for single-cell data analysis. You will work closely with PhD students, postdoctoral fellows, and other computational biologists to advance methods and software for single-cell datasets.

Responsibilities include developing computational methods, contributing to open-source code, assisting in data interpretation, maintaining lab servers, and presenting