Radiology Biostatistician 1 - 67905
The people and programs comprising Stanford Radiology are world-renowned. Stanford Radiology continues to push the boundaries of innovation in physics and engineering to develop cutting-edge methods for enhanced anatomic and functional imaging. Stanford Radiology plans to play a very important role in the development of personalized medicine by moving advances from the laboratories to the clinic for improved patient-centric care.
Stanford University Radiology Department is seeking a Biostatistician 1 to work closely with faculty, fellows, and students in designing, analyzing, and reporting experimental and observational research. Research projects in the department range from in-vitro and in-vivo laboratory experiments to epidemiological studies and clinical trials, on topics from new technological aspects of imaging to new diagnostic and therapeutic methods.
- Work closely with researchers to provide appropriate statistical input in the design, execution and analysis of studies.
- Apply statistical skills to the design of research studies, both experimental and observational, including grant proposals.
- Visualize, analyze, and interpret statistical data to identify significant relationships, using primarily Stata and R.
- Participate in the preparation of written and oral presentations that summarize the analysis of data, interpret the findings, and provide conclusions and recommendations.
- May also perform other duties as assigned, such as assisting in the design and analysis of internal surveys.
* - Other duties may also be assigned
Qualifications Education & Experience (Required)
Master's degree in biostatistics, statistics or related field.
Knowledge, Experience, and Skills (Required)
- Proficient in at least two of R, SAS, SPSS, or STATA.
- Skills in descriptive analysis, modeling of data, and graphic interfaces.
- Outstanding ability to communicate technical information to both technical and non-technical audiences.
- Ability to manage and prioritize multiple projects to ensure on-time delivery with meticulous quality.
- Ability to become well-versed with relevant medical and imaging concepts and terminology.
- Frequently perform desk based computer tasks, seated work and use light/ fine grasping.
- Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
May work extended or non-standard hours based on project or business cycle needs.
Job: Information Analytics
Location: School of Medicine
Job Code: 5521