Bioinformatics Assistant II | Laboratory of Molecular Immunology

$55,000 - $65,000/Yr

Rockefeller University - New York, NY

Full-time - Entry Level

New York, NY

Educational Services

About the position

The Bioinformatics Assistant II at the Laboratory of Molecular Immunology will support laboratory researchers by providing data analysis, maintaining bioinformatics pipelines, and assisting in the interpretation of research results. This role involves utilizing programming languages and bioinformatics tools to analyze experimental data, ensuring workflows are efficient and up-to-date, and collaborating with scientists to derive insights from bioinformatics data.

Responsibilities

• Provide data analysis support to laboratory researchers
• Utilize bioinformatics tools and programming languages (e.g., Python, R) to analyze experimental data and contribute to ongoing research projects
• Maintain and enhance existing bioinformatics pipelines
• Ensure that bioinformatics workflows are functional, up-to-date, and optimized for efficiency, including documentation and troubleshooting as necessary
• Assist in interpreting research results
• Collaborate with scientists to analyze and interpret bioinformatics data, offering insights and recommendations based on findings
• Develop and document new scripts or tools for data processing
• Write and maintain well-documented code to automate data processing tasks, ensuring reproducibility and accuracy in data handling
• Perform related duties & responsibilities as assigned/requested to support ongoing research and operational needs

Requirements

• Bachelor's degree in computational biology, computer science, biological sciences, or other related analytical disciplines
• Excellent programming skills in at least one scripting language such as Perl, Python or R, and knowledge of SQL
• Comfortable working in a Unix/Linux operating system and have knowledge of command line tools
• Ability to multitask while working independently and exercising good judgement in terms of meeting deadlines
• Ability to maintain well-documented and tested code and thoroughly document analysis results
• Motivated to learn new technologies and contribute towards publications in peer-reviewed journals
• Strong communication skills with the ability to interact with other researchers from diverse scientific backgrounds
• Experience in scientific programming with applications to biomedical research, preferably in the area of genomics and next-generation sequencing analysis

Nice-to-haves

• Master's degree preferred
• Experience in a lab environment