This position will collaborate with medical researchers in the Department of Pediatrics. Types of research projects vary from clinical trials to observational studies to basic science research in the field of pediatrics. Duties include, but are not limited to: attending consultation meetings on study design, grant preparation and statistical analysis; assisting with study protocol development; conducting cleaning and analysis of data; and report preparation/writing under the mentorship and supervision of a senior biostatistician. This position will provide valuable learning and practical experience with emphasis on building skills to become an independent biostatistician in the Department.
- Performs a variety of duties involving the application of statistical skills to the design of research studies. Works as a member of a research team/study team to provide appropriate statistical input in the design, execution and analysis of studies.
- Participates in the development of operations and procedures for the collection, editing, verification and management of statistical data.
- Operates one or more systems of computer hardware and statistical analysis software for the management and analysis of data. Evaluates the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Analyzes and interprets statistical data to identify significant differences in relationships among sources of information.
- Processes large amounts of data for statistical modeling and graphic analysis, using computers.
- Investigates, evaluates and prepares reports on applicability, efficiency, and accuracy of statistical methods used in obtaining and evaluation data.
- Participates in the preparation of written and oral presentations that summarize the analysis of data, interprets the finding and provides conclusions and recommendations.
- May perform other duties as assigned.
Required Education and Experience
Master's degree in Statistics, Biostatistics, Epidemiology or related field or an equivalent combination of education and experience.
Required Skill/Ability 1:
Professional experience and/or education in data manipulation and statistical analysis, with programming experience using SAS and R statistical software, including writing macros and statistical functions.
Required Skill/Ability 2:
Ability to learn programming techniques to create automated reports and outputs.
Required Skill/Ability 3:
Ability to learn programming techniques for on-line interactive analytical tools for non-statisticians.
Required Skill/Ability 4:
Experience with MS Office, specifically Word, Excel, PowerPoint and Outlook.
Required Skill/Ability 5:
Ability to work in a team environment as well as independently. Ability to be detail-oriented and multitask.
Preferred Education, Experience and Skills:
Some Knowledge of Simulation techniques & Bayesian analyses. Familiarity with Web application development with R using Shiny or with JAVA or HTML.
Preferred Licenses or Certifications:
Weekend Hours Required?
Evening Hours Required?
Background Check Requirements
All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. Please visit www.yale.edu/hronline/careers/screening/faqs.html for additional information on the background check requirements and process.
The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the particular position. Employees will be assigned specific job-related duties through their hiring departments.
Affirmative Action Statement:
Yale University considers applicants for employment without regard to, and does not discriminate on the basis of, an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation or gender identity or expression. Title IX of the Education Amendments of 1972 protects people from sex discrimination in educational programs and activities at institutions that receive federal financial assistance. Questions regarding Title IX may be referred to the University’s Title IX Coordinator, at TitleIX@yale.edu, or to the U.S. Department of Education, Office for Civil Rights, 8th Floor, Five Post Office Square, Boston MA 02109-3921. Telephone: 617.289.0111, Fax: 617.289.0150, TDD: 800.877.8339, or Email: firstname.lastname@example.org.
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