Staff Associate I - Data analysis and genomic modeling

The Department of Epidemiology at the Mailman School of Public Health seeks a Staff Associate I to provide data analysis for several ongoing projects, including large sequence-based phylogenetic analysis. Ongoing projects involve within population genetics and evolution of TB strains, phylogeography of TB, TB phylodynamics and transmission within communities. The ideal candidate will have experience in conducting WGS and phylogenetic analysis, and a strong background in bioinformatics, genetics, and epidemiology. The successful candidate should be proficient in relevant software and programming languages such as R, Python, and Linux, and possess excellent written and oral communication skills. She/he/they will provide assistance with preparation of reports and papers for publication; assistance with developing related grant proposals and research protocols to extend the scope of the project; and other support as required.

Minimum Qualifications

A Bachelor's degree in Bioinformatics, Genetics, Infectious diseases, Epidemiology or a related field is required. A Master's degree is preferred.

Preferred Qualifications

Minimum of 3-4 years of experience with collecting, managing, and analyzing large-scale databases.

Proficient in programming languages (Python or R).

Experience with high-performance computing (Linux system) is preferred.

Experience in conducting WGS and phylogenetic analysis is required.

Strong attention to detail and ability to manage and analyze complex data.

Strong analytical and problem-solving skills.

Excellent written and oral communication skills.

Essential Functions

Data management, compilation, bioinformatics analysis, 30%

Combine multiple layers of data to uncover correlations between genomic mutations and phenotype, 20%

Modify processing pipelines, create visualization of results, 20%

Python and R coding, working on high-performance computing, 20%

Provide assistance with preparation of reports and papers for publication, 10%

Minimum Qualifications

A Bachelor's degree in Bioinformatics, Genetics, Infectious diseases, Epidemiology or a related field is required. A Master's degree is preferred.

Preferred Qualifications

Minimum of 3-4 years of experience with collecting, managing, and analyzing large-scale databases.

Proficient in programming languages (Python or R).

Experience with high-performance computing (Linux system) is preferred.

Experience in conducting WGS and phylogenetic analysis is required.

Strong attention to detail and ability to manage and analyze complex data.

Strong analytical and problem-solving skills.

Excellent written and oral communication skills.

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.