The Department of Orthopaedic Surgery at Stanford University School of Medicine seeking a Research Data Analyst 1 to work closely with senior statistician(s) to analyze large amounts of information, devise analysis plans, create analytic files, implement analysis plans, report and publish findings, and manage relevant databases as necessary. Provide guidance and mentorship to clinical investigators, students, and research staff on design and analysis issues.
Duties include:
- Collect, manage and clean datasets.
- Employ new and existing tools to visualize, analyze, and interpret univariate & multivariable relationships in data.
- Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
- Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
- Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
- Analyze data processes in documentation.
- Collaborate with faculty and research staff on data collection and analysis methods.
- – Other duties may also be assigned.
DESIRED QUALIFICATIONS:
- Master’s in Statistics, Biostatistics, Public Health, or related field preferred. Candidates with a Bachelor’s degree in Biostatistics or Statistics with a strong portfolio of statistical coursework will be considered. Experience in statistical consulting highly desirable.
- Proficient in SAS and/or R, following best practices for commenting and organizing code
- Strong skillset in descriptive statistics and data visualization.
- Strong skillset in univariate & multivariable analysis of categorical, continuous, and time to event data.
- Experienced in performing data quality checks and validation.
- Outstanding ability to communicate technical information to both technical and non-technical audiences.
- Meticulous in handling of detailed data & statistical output.
- Mission-oriented with strong desire and curiosity to push forward research in an academic setting.
- Strong interest in orthopaedics and orthopaedic surgery.
- Ability to work with multidisciplinary teams with varying working styles.
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor’s degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Substantial experience with MS Office and analytical programs.
- Strong writing and analytical skills.
- Ability to prioritize workload.
PHYSICAL REQUIREMENTS*:
- Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
- Occasionally use a telephone.
- Rarely writing by hand.
* – 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.
WORKING CONDITIONS:
Some work may be performed in a laboratory or field setting.
WORK STANDARDS:
- Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
- Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
- Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu.
The expected pay range for this position is $64,480 to $93,000 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.