"Bioinformatics Assistant | Laboratory of Host-Pathogen Biology"

Organization Overview

Our lab has developed novel CRISPR-based tools for functional genomics in the globally important pathogen, Mycobacterium tuberculosis. At Rockefeller, you will join a dynamic research team to investigate the mechanisms that enable this bacterium to cause disease and evade current antibiotics, with the long-term goal of developing new strategies to improve control of this pandemic.

Overview

The Bioinformatics Assistant will provide computational and software development support to the Laboratory of Host-Pathogen Biology, including development and maintenance of data analysis pipelines, web applications, and machine learning models for functional genomics research in mycobacteria.

Responsibilities

• Develop and maintain Django-based web applications and databases for sharing CRISPRi and TnSeq functional genomics datasets and results.
• Design and implement bioinformatics pipelines for processing CRISPRi screen data, including statistical modeling of genetic and chemical-genetic interaction scores.
• Build and deploy machine learning and statistical models for functional genomics predictions, including sgRNA efficiency and drug sensitivity scoring.
• Collaborate with laboratory members to support computational analyses, interpret results, and produce publication-quality figures and written reports.
• Maintain and document lab software tools, HPC workflow scripts, Python packages, and bioinformatics databases.
• Performs related duties and responsibilities as assigned/requested.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Bioinformatics, or a closely related computational field
• Two years of Python development experience, including scientific computing libraries (NumPy, pandas, scikit-learn).
• Proficiency with version control (Git), Unix/Linux environments, and command-line tools.
• Strong software engineering fundamentals: code organization, testing, and documentation.

Preferred:

• Master’s degree in a relevant field; background in genomics, microbiology, or molecular biology is a plus.
• Experience with bioinformatics data types including CRISPRi screens, transpoon sequencing (TnSeq), or next-generation sequencing (NGS) analysis.
• Familiarity with machine learning frameworks.
• Full-stack experience with Dajngo or other similar frameworks.
• Experience with HPC environments (SLURM) and/or cloud computing

Compensation Range: Min USD $50,000.00/Yr. Compensation Range: Max USD $55,000.00/Yr.