Job Summary

Compiles and manages data from national surveys and other relevant data sources and provides analytical support to senior staff members. Develops original cancer disparity research for publications in peer review journal, with a focus on assessing factors contributing to disparities in cancer occurrence and outcomes. Collaborates with researchers both within and outside ACS on research manuscripts and other relevant publications.

Major Responsibilities

• Participates in the collection, compilation, management, and analysis of data on social determinants of health and other factors contributing to cancer disparities.
• Manages team’s databases.
• Participates in quality assurance audits of data for the program’s publications.
• Leads or participates in the development of manuscripts on cancer disparity for publication in peer-reviewed journals.
• Participates as an active and primary collaborator in the development of service publications under the direction of the program’s Scientific Director.
• Serves as internal resource for colleagues related to cancer disparity research.
• Contributes to the dissemination of the program’s research through public presentations at conferences and colloquia.
• Collaborates with other researchers at ACS and academic and government institutions in advancing the field of cancer disparity research.

Position Requirements

Formal Knowledge

• Master’s level degree in epidemiology, public health, or biostatistics.

Competencies/Skills

• Action oriented 
• Communicates effectively
• Drives results
• Manages complexity
• Builds networks
• Cultivates innovation
• Optimizes work processes
• Manages ambiguity
• Strong data management skills.
• Strong scientific writing skills.
• Strong knowledge of fundamental principles of epidemiology.
• Experience conducting research with large databases.
• Ability to manage multiple tasks.
• Attention to detail.
• Ability to meet deadlines.
• Ability to work with a team.
• Publications in peer-review journals is preferred.

Specialized Training/Knowledge

• Extensive experience working with a statistical software (STATA, SAS, or similar), EXCEL, word processing and presentation software.
• Knowledge of survey data such as NHIS, NHANES, and BRFSS.
• There is some latitude for decision-making, however, not to the degree found at the Principal Scientist or Director level.