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  • Location:
  • Salary:
  • Job type:
  • Posted:
    4 weeks ago
  • Category:
    Information Technology
  • Deadline:
    July 31, 2024
  • Job Level:
Data Analyst
Palo  Alto, CA
$72,000 to $103,000
Our Client is seeking a Research Data Analyst  to join their dynamic team of researchers. The research seeks to accelerate society’s transition to an animal-free food system. This is a full-time position at 100% FTE for 1 year, with the possibility of renewal dependent on programmatic and budgetary needs. Key projects include analyzing exciting new datasets about plant-based food sales in restaurants and grocery stores. Required skills are proficiency in R or Python (preferably both), with excellent reproducible coding style, and in cleaning and merging large datasets. Our Client is 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.
  • Substantial experience with R, Python, or both.
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.
·         Excellent writing and analytical skills.
·         Ability to prioritize workload.

For immediate consideration, please apply!

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