I. DEPARTMENT INFORMATION
Job Description Summary:
The Sumner M. Redstone Global Center for Prevention and Wellness implements and evaluates strategies to improve health and to measure outcomes globally, nationally and in the Washington, DC community. The Center focuses on topics which includes obesity, nutrition and physical activity.
The Sumner M. Redstone Global Center is seeking a Biostatistician to support nutrition and obesity focused research. The successful candidate will have a unique opportunity to work with a multidisciplinary team and develop expertise in nutrition, obesity, and chronic disease epidemiology. The Biostatistician will develop data analysis plans, analyze data, prepare manuscripts, and develop grant proposals for external funding.
The statistician will have a high level of autonomy and will report to the Center’s Director, Dr. Bill Dietz. The initial appointment is for two years. The start date is flexible.
• Analysis of large multilevel databases using statistical software
• Execution of latent variable models, multilevel regression analysis, and other more sophisticated analyses.
• Coding variables and building regression models.
• Constructing multilayer datasets from multiple large datasets, data cleaning, quality checks, formatting and organizing analytic files.
• Manage the interpretation of analyses, publication of results, and preparation of grants.
• Performs other related duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position.
MS or MPH in Statistics, Biostatistics, Epidemiology or related field, plus plus 5 years of relevant professional experience.Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications:
• 2 + years of experience with statistical programming
• Strong knowledge of SAS and R
• Proficiency in statistical analysis methods related to health research
• Experience in assisting with manuscript preparation and/or grant applications
• Prior experience in nutrition, biochemistry, physiology, and public health
• Prior work experience related to nutritional and/or chronic disease epidemiology
• Strong organizational skills and attention to detail
• Excellent written and oral communication, and problem solving skills
• Ability to work effectively with diverse groups
• Doctoral degree in epidemiology, biostatistics, quantitative social science, or related field preferred.
• Self-motivated, able to work independently and with a team, and able to manage their time across multiple projects.
I. POSITION INFORMATION
Campus Location: Foggy Bottom College/School/Department: Milken Institute School of Public Health (SPH) Family Research and Labs Sub-Family Biostatistics Stream Individual Contributor Level Level 3 Full-Time/Part-Time: Full-Time Hours Per Week: 40 Work Schedule: Monday through Friday Position Designation: Essential: Employees who perform functions that have been deemed essential to maintaining business or academic operations. Employees are generally expected to work from home during an event and may be asked to physically report to work. Telework: Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search Special Instructions to Applicants: Internal Applicants Only? No Posting Number: RP000205 Job Open Date: 12/28/2016 Job Close Date: If temporary, grant funded or limited term appointment, position funded until: Background Screening Successful Completion of a Background Screening will be required as a condition of hire. EEO Statement:
The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.
Posting Specific Questions
Required fields are indicated with an asterisk (*).
- * Do you have a Docorate Degree?
- * Do you have at lease two years of experience with statistical software packages such as SAS, STATA, SPSS?
- * Please describe your experience working with research grants and/or contracts.
(Open Ended Question)
- Cover Letter
- Letter of Recommendation 1
- Letter of Recommendation 2
- Letter of Recommendation 3