Staff Associate II in the Department of Systems Biology

The Single Cell Analysis Core (website: https://systemsbiology.columbia.edu/genome-center/single-cell-analysis-core) is seeking a Staff Associate II who will be involved in the application and development of computational methods for analyzing bulk and single-cell RNA and ATAC sequencing data, as well as new spatial applications, and custom bioinformatics projects from Core users. There will be a focus on GI research, digestive and/or liver disease projects.

Responsibilities and duties:

• Fluency with Python, R, and UNIX. Experience with source code version control systems. Experience with AWS. Familiarity with next generation sequencing. 20%
• Able to apply analytical skills to help problem solve with wet lab members, other bioinformaticians, and Director. 20%
• Works independently to design and execute routine projects with minimal supervision. Works with leadership to execute custom experiments while working in a collaborative research environment. Requires a moderate degree of independent judgement. 20%
• Required to implement protocols to support projects, using a comprehensive understanding of research techniques, software and instruments. 20%
• Assist collaboratively research groups, explain complex information. Contributing in preparation of publications (manuscripts, funding proposals). 20%

Minimum Qualifications

• Bachelor's degree in biology or related field.
• 2 to 4 years of related experience preferred
• Fluency with Python, R, and UNIX. Experience with source code version control systems. Experience with AWS. Familiarity with next generation sequencing.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

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