Location: New Haven, CT
Cap-Exempt H-1B Position — No lottery required
Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale! **Overview** Analyzes and interprets data from various sources and develops statistical analysis and programming strategies in support of research projects including: compiling reports, charts, and tables based on established statistical methods to support various research projects. The Statistician 2 is responsible for analyzing and interpreting data from various sources, developing statistical analysis and programming strategies, and supporting research projects. This role involves compiling reports, charts, and tables based on established statistical methods, and providing comprehensive statistical support for multiple projects. The Statistician collaborates with multidisciplinary teams to design research studies, develop analytical plans, conduct statistical analyses, and interpret results. They are also responsible for managing data, preparing manuscripts, technical reports, and presenting findings to diverse audiences. **Required Skills and Abilities** 1. Proven proficiency in biostatistics, with experience in constructing multivariable linear, logistic, and survival models. Ability to determine appropriate statistical approaches and learn new methods as needed. 2. Strong programming skills, ideally in SAS, R, and/or Python, with the ability to manage complex databases and implement relevant statistical programs. 3. Demonstrated excellent interpersonal, oral, and written communication skills. Ability to communicate technical ideas to non-technical audiences. 4. Ability to manage multiple concurrent projects, prioritize tasks, and meet deadlines while working both independently and within a multidisciplinary team. **Preferred