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

Responsibilities include:

• 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
  
  

The Rockefeller University is an equal opportunity employer – veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status.

The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Compensation Range: Min

USD $50,000.00/Yr.

Compensation Range: Max

USD $55,000.00/Yr.