(RFP300517) Research Associate - Biostatistics
Provide statistical support to the Low Methane Forages project in agricultural research.
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Overview
Provide statistical support to the Low Methane Forages project in agricultural research.
You have:
- Bachelor's degree in Biostatistics, Statistics, Data Science, Agricultural Sciences, or a related field.
- At least one year of experience supporting agricultural research projects with statistical analysis.
- Proficiency in R, python, SAS & statistical software.
- Knowledge with mixed models, longitudinal data analysis, and data visualization.
- Experience working with datasets related to forage evaluation, animal nutrition, or environmental indicators (desirable).
- Working knowledge of GIS and spatial data analysis is an advantage.
- Effective communication skills and advanced proficiency in English (spoken and written).
Potential interview questions
| Can you provide an example of a statistical analysis you've conducted in a previous research project? | This assesses your hands-on experience with statistical analysis in agricultural research. | Share a specific project, detailing your role, the methods used, and the outcomes. |
| Describe a time when you had to collaborate with a multi-disciplinary team. What challenges did you face? | This evaluates your experience and effectiveness in team collaboration. | Pro members can see the explanation. |
| How do you ensure data quality in your statistical analyses? | Pro members can see the explanation. | Pro members can see the explanation. |
| What statistical software are you most comfortable using, and why? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you explain how you would approach data visualization for complex datasets? | Pro members can see the explanation. | Pro members can see the explanation. |
| Tell us about a time when you had to adapt to changes in project requirements. | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe your experience with analyzing in vivo and in vitro experimental data. | Pro members can see the explanation. | Pro members can see the explanation. |
| What strategies do you use for managing large datasets in research? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 10 days ago
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Updated 5 hours ago
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Source:
alliancebioversityciat.org
