Data Analyst

Position Summary

The Department of Epidemiology in the Mailman School of Public Health seeks an experienced quantitative Data Analyst to provide data management and conduct analysis of several ongoing projects, including social determinants, cognitive and mental health outcomes, nutrition epidemiology, and population genetic and epigenetic epidemiologic research. Ongoing projects include environmental contributors to youth mental health, as well as pediatric malignancy.

The successful candidate will have experience analyzing data, and proficiency in standard statistical software, including SPSS as well as R. Knowledge of python is a plus. If the candidate has experience working with SQL and MS Access that is ideal. Familiarity with GIS is also a plus. The candidate must be comfortable working in Spanish. The candidate will be involved in processing and curating nutrient and diet output data from NDSR, as well as data from the NIH toolkit, and from several mental health outcome indicators, as well as SNP data and

Experience with working with nutrient level data and social determinant (food security), mental health and cognitive outcomes is essential. S/he 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.

Responsibilities

Project management – 15%

Data analysis – 80%

Other duties as assigned – 5%

Minimum Qualifications

• A Bachelor’s degree.

Preferred Qualifications

A Master’s degree.

Work experience in nutrition and social epidemiology.

Experience with quantitative data management and analysis.

The ability to work with teams of investigators.

Proficiency in, R SPSS and one of more common programming languages.

Excellent written and oral communication skills and be detail oriented.

High-level interpersonal and organizational skills.

Near native Spanish fluency a plus