Data Analyst

$58,931 - $63,700/Yr

New York University - New York, NY

Full-time - Entry Level

New York, NY

Educational Services

About the position

The Data Analyst position at NYU Grossman School of Medicine involves overseeing and supporting mathematical modeling research in the Department of Population Health. The role focuses on comparative effectiveness and decision science related to health issues such as HIV, HCV, and opioid use. The successful candidate will coordinate studies, implement new projects, and develop research proposals while collaborating with diverse colleagues in an academic medical center environment.

Responsibilities

• Collaborate with the PI and mathematical modelling team to support model development
• Perform literature reviews and data synthesis in support of modeling aims
• Elicit model data estimates through meetings with external partners and content experts
• Assist in model development, including evaluation of model logic through creating schematics
• Evaluate model assumptions and their interplay in model flow
• Review model C++ code to cross-check consistency
• Conduct and interpret statistical analyses for manuscripts, abstracts and progress reports
• Plan and facilitate regular data checking and quality assurance
• Update and maintain study databases, assist with data analysis
• Maintain existing data collection and analysis methods in support of research aims
• Play an active role in dissemination of findings, including preparation of manuscripts and presentations
• Organize and maintain research records
• Attend and facilitate stakeholder workshops and meetings
• Work with the PI to develop and submit new grant proposals
• Prepare standard progress reports for research sponsors
• Assist PI with management of study regulatory tasks, such as preparation of materials for Institutional Review Board and data safety monitoring

Requirements

• Masters Degree in Public Health, Biostatistics, Epidemiology, or a related quantitative field
• 2 years of relevant work experience
• Proficient in at least one programming language (i.e. SAS, R, or Python)
• Experience using data visualization and/or mapping software
• Keen attention to detail and good documentation habits
• Strong quantitative aptitude and ability to interpret complex analytic information
• Ability to work within a team environment as well as independently

Nice-to-haves

• Comfort with R, and/or C++; Stata, or SAS
• Ability to select and apply appropriate statistical methods for collecting and summarizing data
• Experience with literature review and data synthesis
• Topic familiarity with HIV, HCV, and/or opioid use disorder and its treatment

Benefits

• Salary range of $58,930.99 - $63,700.00 Annually
• Equal opportunity and affirmative action employer
• Commitment to diversity and inclusion in recruiting and employment