Staff Associate I – Department of Systems Biology Full-time NEW

Yufeng Shen lab (http://www.columbia.edu/~ys2411/) in the Department of Systems Biology at Columbia University is seeking a full-time bioinformatics analyst for a Staff Associate I position. The Staff Associate I will provide support in large-scale genomic data analysis and computational tools for a multi-disciplinary research team of computational and clinical scientists. Responsibilities include: Provide support for analyzing genome sequencing data in genetic studies of human diseases and conditions; Maintain and optimize foundational bioinformatics pipelines and workflows for genomics analysis, especially annotation for coding and non-coding variants; Maintain and optimize quality control procedures; Manage genomic data sets. 

Responsibilities:

a. Functional Knowledge – 30%

• Knowledge of Genome annotation and functional and genetic impacts of noncoding variants and genome language models. 

b. Problem Solving – 50%

• Utilizes analytical skills to solve genome benchmarking problems for genetic analysis and possible genetic data solutions based on guidleines, protocols, and procedures. 

c. Decision Making/Autonomy – 10%

• Works within guidelines to carry out assigned duties in the design of apparatus, the adaptation of relevant technology to the needs of a project, the conduct of specific computational and statistical experiments, and the analysis of data.

d. Technical Expertise – 5%

• Ability to operate and maintain equiptment, computers, software programs such as python and research tools in support of the project. 

e. Communication – 5%

• Shares information and confirmation of data. 

• Bachelor’s degree in computational biology or a similar major required.
• Four years experience in projects with data science or machine learning as a core component preferred

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.