Career Center

The laboratories of Dr. Fatemeh Momen-Heravi and Alison Taylor at Columbia University Herbert Irving Comprehensive Cancer Center (HICCC) are seeking an enthusiastic and exceptionally motivated Staff Associate I for a joint project between the Taylor and Momen-Heravi laboratories on cancer genomics and transcriptomics.

In this project, we will study the biologic determinants of cancer disparities through the lens of genomic and transcriptomic changes.  The Staff Associate I will assist in developing methods and pipelines for analysis of whole genome sequencing, transcriptome  sequencing, chromosomal alterations (aneuploidy), and DNA copy number analysis. Prior experience with one or more of these data types is preferred. In addition, the Staff Associate should have proficiency and programming experience in R and/or Python. 

Specific duties will include: 

• Deployment of existing programs and algorithms for analysis of next generation sequencing data in support of multiple projects. 
• Development and maintenance of pipelines for analysis of next-generation sequencing data. 
• Maintenance of large-scale datasets generated by the laboratory. 

Minimum requirement: Bachelor's degree in relevant field. 

Minimum Qualifications: Candidates should hold a Bachelors degree in computer science, bioinformatics, engineering or related field and have experience in computational biology. In addition, this individual should have excellent organizational and interpersonal skills, along with interest in working in a collaborative and multi-disciplinary research setting. 

Preferred Qualifications:

• Four years work experience preferred, including experience with data visualization of information gleaned from large-scale datasets. 
• Excellent interpersonal skills with a collaborative attitude
• Detail-oriented with excellent organizational skills. 

Interested and qualified candidates should apply to apply.interfolio.com/113898 and submit a personal statement and CV/resume

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.

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