Associate Scientist I, American Cancer Society
Category : Alumni
The Associate Scientist assists principal scientists in the Population Science program with research on the epidemiologic and behavioral aspects of the cancer continuum: prevention, detection, treatment, and survivorship. They contribute to a team of research analysts who share responsibilities for programming, statistical modeling, program review, analysis documentation, development of new study resources, and support of 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 epidemiology and behavioral science including co-lead/authorship of peer-reviewed publications.
- Work with ACS principal scientists to design and conduct internal research studies using American Cancer Society datasets (primarily the Cancer Prevention Study II and 3)
- Provide statistical programming support (information, datasets, and statistical analysis) for collaborative studies with outside researchers.
- Generate presentations and reports for internal and external use.
- Assist in the preparation of papers for publication in the fields of epidemiology, behavioral science, and public health, including conducting scientific literature reviews.
- Document analytic programs and data management to facilitate record-keeping and use by others.
- Contribute to general data analysis and data management needs of the department.
Position Requirements
Master’s degree in Epidemiology or a related field (Public Health, Bioinformatics, Behavioral Health etc.) and at least one-year of programming experience in analytic work, preferably in a scientific, epidemiologic, or behavioral research environment.
- Ability to conduct statistical analyses and interpret results using SAS and R. Ability to learn additional software and programming languages as needed (ex. SPSS, Python, Mplus).
- Knowledge of survey-based research methods including longitudinal and survival analysis, and/or biospecimen-related analysis (genomics, metabolomics)
- 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.
- Additional skills related to Shiny applications, advanced graphics design, bioinformatics, text analytics and/or latent variable analysis are preferred, but not required.
- Office desk work with extensive time spent typing, using a mouse, and viewing screens.
