Staff Associate II

2 weeks ago


New York, United States Columbia University Full time

The Department of Epidemiology at the Mailman School of Public Health seeks a Staff Associate II to provide data management and conduct analysis of longitudinal cohort data and quasi-experimental designs. The portfolio of projects includes studies of the social and structural determinants of maternal and reproductive health equity. The successful candidate will have experience analyzing data, writing scientific manuscripts, and proficiency in SAS, Stata, and R. Experience with longitudinal data analysis (e.g., survival analysis and other time-to-event procedures, trajectory analysis), random effects models, and machine learning methods is essential, as well as high-performance computing (Linux system). She/he/they will assist with preparation of conference abstracts, 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. The Staff Associate II will also product charts and data visualizations for the research projects. She/he/they will mentor students in the lab.


Minimum Qualifications

A bachelor's degree in a related field (e.g. public health, epidemiology, biostatistics), plus 4 years experience.

Additional Qualifications:

Experience with quantitative data management and analysis.

Proficiency in SAS, Stata, R is essential.

Excellent written and oral communication skills and be detail oriented.

High-level interpersonal and organizational skills.

The ability to work with large teams of diverse investigators and collaborators (researchers, public health officials, and policy makers).

Ability to work independently without PI supervision.

Preferred Qualifications:

Master's degree in a related field.

Work experience in perinatal epidemiology.

Highly motivated and interested in developing a research career.

Experience with Redcap.

Essential Functions

70% data analysis

20% manuscript and grant preparation

10% documentation, data governance and other administrative tasks

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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