Assists principal scientists in the Behavioral and Epidemiology Research Group to conduct research on behavioral and epidemiologic aspects of cancer across the continuum: prevention, detection, treatment, and survivorship. The analyst will also contribute to the team of research analysts who share in program review, analysis documentation, derived variable creation, development of new study resources and support for external collaborations. In addition, the analyst will help advance the groups collective expertise in statistical programming and epidemiologic methods through independent study, internal presentations, and written memos. The position includes opportunities for learning skills relevant to behavioral science, epidemiology, and cancer control including co-lead/authorship of peer-reviewed publications.
- Design and conduct behavioral or epidemiologic studies using American Cancer Society datasets (Cancer Prevention Study I/II/3, Cancer Survivor Studies, Transitions Study, and others) and public datasets using various computer resources and statistical software.
- Generate presentations and reports for internal and external use.
- Assist in the preparation of papers for publication in the fields of behavioral science, epidemiology, and public health, including conducting scientific literature reviews.
- Provide statistical programming support and database analysis for collaborative behavioral or epidemiologic studies with outside researchers, as needed.
- Document analytic programs and data management to facilitate record-keeping and use by others.
- Contribute to general data/biospecimen collection and management as needed.
- At least one-year of programming experience in analytic work, preferably in a scientific, epidemiologic, or behavioral research environment.
COMPETENCIES/SKILLS:
- Ability to conduct statistical analyses and interpret results using SAS and R. Ability to learn additional programming languages as needed (ex. SPSS).
- Knowledge of survey based research methods including longitudinal and survival analysis, understanding of behavioral theory preferred but not required.
- Strong problem-solving skills and ability to produce high quality work independently.
- Highly motivated with strong attention to detail and organization skills.
- Strong quantitative skills.
- Ability to manage multiple tasks simultaneously and efficiently.
- Exceptional teamwork and interpersonal skills; ability to communicate in a cross-functional environment.
- Experience in electronic data management, particularly in processing of large datasets.
SPECIALIZED TRAINING OR KNOWLEDGE:
- Additional analytic skills related to latent variable analysis, advanced graphics design, bioinformatics, and/or text analytics are preferred, but not required.
SPECIAL MENTAL OR PHYSICAL DEMANDS:
- Office desk work with extensive time spent typing, using a mouse, and viewing screens.
We are committed to providing staff with fulfilling opportunities to learn, grow and make an impact in their local communities. We offer staff a generous paid time off policy; medical, dental and retirement benefits, and professional development programs to enhance staff skills.