Data Analyst

Position Summary:
We have an exciting opportunity to join our team as a Data Analyst.

In this role, the successful candidate designs and performs statistical analyses under the supervision of the Center of Surgical and Transplant Applied Research (C-Star) leadership group

Job Responsibilities:

Design and perform statistical analyses under the supervision of the Center of Surgical and Transplant Applied Research (C-Star) leadership group
Serve as a data analyst to the Center of Surgical and Transplant Applied Research (C-Star), using a range of data sources including: Electronic health records (NYU Epic); Community-based health and demographic surveys; Project-specific surveys and assessments;Administrative records (births, education, Medicaid claims); Other novel data sources
Contribute original thoughts,hypotheses, and analysis to write reports, abstracts and manuscripts under faculty supervision
Support grant proposal submissions and support funder reports for NIH funded
Liaise with senior researchers at other institutions to conduct analyses on behalf of national scientific committees
Prepare interim reports to summarize ongoing cohort studies for principal investigators, study staff, anddata safety and monitoring boards
Under faculty supervision, design analytical strategies for research proposals and draft statistical analysis plans for grants
Performs miscellaneous job duties as assigned

Minimum Qualifications:
To qualify you must have a Bachelor's or Master's degree in related discipline (epidemiology, biostatistics, public health, or related discipline)
Strong facility with Stata, R, or other statistical programming language
Strong quantitative aptitude, desire to learn new skills and information, and ability to interpret complex analytic quantitative information; Strong attention to detail
Demonstrated organizational skills, self-motivation, flexibility, and the ability to thrive in a fast-paced, energetic, highly creative, entrepreneurial environment

Preferred Qualifications:
Excellent written and verbal communication skills
Excellent data visualization skills

Qualified candidates must be able to effectively communicate with all levels of the organization.