Bioinformatics Assistant II Job Listing at Rockefeller University in New York, NY (Job ID 1672)

Description

Organization Overview

We pursue a combination of biochemical, molecular, and genetic approaches to define the checkpoints that regulate B cell development, antibody production, and B cell tolerance. A second area of interest is in dendritic cells. Our interests range from the earliest phases of the B cell pathway, including the commitment to becoming a B cell through the completion of maturation. Our ongoing work includes a focus on mechanisms of V(D)J recombination, somatic mutation, isotype switching, allelic exclusion, and tolerance.
Overview

The Bioinformatics Assistant II will assist all laboratory researchers by providing effective data analysis, maintaining the existing pipelines, and helping interpret results.

Responsibilities include:

• 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

Required:

• 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
• Must be comfortable working in a Unix/Linux operating system and have knowledge of command line tools
• The ability to multitask while working independently and exercising good judgement in terms of meeting deadlines
• The ability to maintain well-documented and tested code and thoroughly document analysis results
• Must be 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 background
• Experience in scientific programming with applications to biomedical research, preferably in the area of genomics and next-generation sequencing analysis

Preferred:

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

The Rockefeller University does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. All qualified applicants will receive consideration for employment without regard to the characteristics listed above.

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.

Required:

• 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
• Must be comfortable working in a Unix/Linux operating system and have knowledge of command line tools
• The ability to multitask while working independently and exercising good judgement in terms of meeting deadlines
• The ability to maintain well-documented and tested code and thoroughly document analysis results
• Must be 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 background
• Experience in scientific programming with applications to biomedical research, preferably in the area of genomics and next-generation sequencing analysis

Preferred:

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

The Rockefeller University does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. All qualified applicants will receive consideration for employment without regard to the characteristics listed above.

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.

Responsibilities include:

• 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