Location: CUNY School of Public Health, 55 W 125^th Street, New York, NY

Position Type: Part-time (12-18 hrs./wk); Remote/hybrid option

Start Date: 2/15/24

Position Summary:

This position will be responsible for supporting the Dashboard Team at the CUNY Institute for Implementation Science in Population Health (www.cunyisph.org).  The core work will focus on the development and implementation of emerging dashboard projects related to major public health issues and initiatives (e.g. HIV, hepatitis C, and sexual transmitted infections).  This position will collaborate with dashboard team members to define and develop appropriate solutions for various data visualization and reporting needs. These solutions will typically involve the design, testing and implementation of dashboards and data visualizations primarily using Tableau, as well as database management.

Organization:

The CUNY Institute for Implementation Science in Population Health’s mission is to translate research into sustainable, cost-effective population-level interventions, strategies, initiatives, and policies with the potential to improve health and reduce health disparities at scale around the world. We do this by understanding biological mechanisms, subtypes and major drivers of disease, identifying program/service/policy implementation gaps driving suboptimal health outcomes at the population level, and by designing and conducting rigorous experimental and observational studies of the impact of strategies aimed at improving population health outcomes.

Key responsibilities:

• Develop, modify and publish dashboards, reports, and data visualizations in Tableau software.
  • Review existing tableau workbook displaying trends in sexual transmitted infections based on surveillance data and recommend key design and functionality improvements
  • Modify existing tableau workbook based on detailed team feedback, including but not limited to updating chart types, layout design, labeling and overall style specifications
  • Prepare tableau workbook for public view, ensuring user-friendly filter options and easy-to-use navigation tools
• Perform data management, data cleaning and statistical analysis using SAS, R, or other statistical programming language on infectious disease or other public health datasets.
  • Integrate recently updated surveillance data tables into existing tableau dashboard database
  • Perform cleaning and quality control as necessary
• Collaborate with dashboard team on design and review of wireframes of new data visualizations to display to public audience.
• Assist in general quality control by completing data checks, testing and routine feedback on newly developed interactive dashboard features.

Desired qualifications:

• Master’s degree in technical discipline (e.g. public health, computer science, information management, statistics, or related field.
• 3+ years’ experience working with Tableau to develop dashboards and data visualizations, including experience developing custom scripts and data integration with other programs (i.e. R, Python, SAS) from multiple data sources.
• Experience with data cleaning, management, and statistical analysis of public health data (e.g. surveillance, population level surveys, etc.). Proficiency with SAS or R preferred.
• General knowledge and interest in effective methods to display and disseminate public health or related information to a broad audience.
• Flexibility and willingness to work on multiple tasks at once.
• Excellent organizational skills and strong attention to detail.
• Excellent writing, editing, research analytic and problem-solving skills.
• Strong MS Office software skills – advanced proficiency in MS Word, MS Excel and MS PowerPoint are minimum requirements.
• Familiarity with WordPress and Google Analytics is a plus.
• Highly self-motivated and able to work independently as well as in a collaborative team environment.
• Professional attitude and team player

Interested candidates should apply with a resume, cover letter, and dashboard/data visualization examples (if applicable)