Research Assistant Job Listing at Rockefeller University in New York, NY (Job ID 1712)

Description

Organization Overview

The ultimate objective of the work in my laboratory is to understand the cellular and molecular basis of vertebrate embryonic induction,with a special emphasis on germ layer and organ formation. Toward this aim,we perform comparative studies using both amphibian and mammalian model systems, including human embryonic stem cells.
Overview

The research assistant will work on a project correlating molecular behavioral phenotypes in a marmoset model of Huntington's Disease. They will use micropattern technology and other tissue culture techniques to establish HD pluripotent cell lines to model Huntington's Disease.

Responsiblities include:

• Participating in experimental design, data acquisition, and data management
• Developing and implement data analysis and visualization strategies, perform statistical analysis and help develop models to understand complex biological phenomena
• Assisting in development of custom protocols and tools to aid in data acquisition and analysis
• Preparing and present research findings to the research team
• Assisting in upkeep of lab safety standards and daily operations

Required:

• Bachelor's degree in a relevant field such as Biology, Bioengineering, Biophysics, or Biochemistry
• Demonstrates experience of confocal imaging techniques and equipment
• Knowledge and interest in Python, machine learning, and statistical analysis of large datasets
• Knowledge in flow cytometry techniques
• Ability to work independently and in a team environment
• Detail-oriented with strong problem-solving skills
• Familiarity with scientific research and publication process

Preferred:

• Master's degree in a relevant field
• Experience with image analysis and processing software such as ImageJ or MATLAB
• Experience with fluorescence, confocal, or super-resolution microscopy

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 a relevant field such as Biology, Bioengineering, Biophysics, or Biochemistry
• Demonstrates experience of confocal imaging techniques and equipment
• Knowledge and interest in Python, machine learning, and statistical analysis of large datasets
• Knowledge in flow cytometry techniques
• Ability to work independently and in a team environment
• Detail-oriented with strong problem-solving skills
• Familiarity with scientific research and publication process

Preferred:

• Master's degree in a relevant field
• Experience with image analysis and processing software such as ImageJ or MATLAB
• Experience with fluorescence, confocal, or super-resolution microscopy

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.

Responsiblities include:

• Participating in experimental design, data acquisition, and data management
• Developing and implement data analysis and visualization strategies, perform statistical analysis and help develop models to understand complex biological phenomena
• Assisting in development of custom protocols and tools to aid in data acquisition and analysis
• Preparing and present research findings to the research team
• Assisting in upkeep of lab safety standards and daily operations