The Research Data Analyst 2 at Stanford Humane & Sustainable Food Lab analyzes complex datasets related to plant-based food sales to support the transition to an animal-free food system. The role involves data cleaning, merging, statistical analysis, report design, and ensuring data accuracy and regulatory compliance, using R or Python. This position requires a bachelor's degree with relevant experience and strong analytical and coding skills, supporting research publication and presentations.
The Stanford Humane & Sustainable Food Lab is seeking a Research Data Analyst 2 to join our dynamic team of researchers. Our research seeks to accelerate society’s transition to an animal-free food system. This is a full-time position at 50% FTE. Key projects include analyzing exciting new datasets about plant-based food sales in restaurants and grocery stores. Desired skills are proficiency in R or Python (preferably both), with excellent reproducible coding style, and in cleaning and merging large datasets. This role is open to candidates anywhere in the United States; however, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment VISA at this time.
Duties include:
· Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
· Determine additional data collection and reporting requirements.
· Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.
· Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
· Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
· Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
· Test prototype software and participate in approval and release process for new software.
· Provide documentation based on audit and reporting criteria to investigators and research staff.
* - Other duties may also be assigned
~ All members of the Department of Pediatrics are engaged in continuous learning and improvement to foster a culture where diversity, equity, inclusion, and justice are central to all aspects of our work. The Department collectively and publicly commits to continuously promoting anti-racism and equity through its policies, programs, and practices at all levels. ~
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. The pay range for this position working in the California Bay area is between $52,179 to $64,019 and remote $36,598 to $52,121.50 based on commensurate experience and background.
DESIRED QUALIFICATIONS:
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree and three years of relevant experience or 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.
· Excellent writing and analytical skills.
· Ability to prioritize workload.
CERTIFICATIONS & LICENSES:
None
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.
Additional PHYSICAL REQUIREMENTS:
WORKING CONDITIONS:
Some work may be performed in a laboratory or field setting.
Additional WORKING CONDITIONS:
Research Data Analyst, Data Analysis, R programming, Python programming, Statistical Analysis, Plant-based Food Research, Data Cleaning, Report Design, Sustainable Food Systems, Data Visualization
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