What are the responsibilities and job description for the Statistical Analyst position at Intellectt Inc?
Role: Statistical Analyst II
Location: Columbus, OH- 43219
Duration: 12 Months
Shift Timings: 8 am to 5 pm
Job Description
The candidate will use their education, experience, and training to work on statistical projects in Nutrition Research.
This requires expertise in statistical methods useful in clinical trial and observational research including analysis of (co)variance, logistic regression, and causal analysis. SAS, R, or Python programming will be very important skills for this position.
The candidate will present results to non-statisticians (nutrition scientists, medical professionals, and clinical research staff) in an organized and coherent manner.
Visualization tools, apps, and dashboards may be expected in the presentation of results. Written reports describing the research in adequate detail will be expected.
Skills: R (e.g. Tidyverse, Ggplot2, Shiny); SAS (Macros, Data Steps, Proc SQL); Python (e.g. Pandas, Matplotlib, Numpy); Github; MS SQL Server; data visualization; Tableau or Power BI; comfortable with large data; data wrangling & data mining; web scraping, predictive modeling; excellent communication skills
Education: Master’s degree in Statistics or Biostatistics
Experience: 1-3 years
Location: Columbus, OH- 43219
Duration: 12 Months
Shift Timings: 8 am to 5 pm
Job Description
The candidate will use their education, experience, and training to work on statistical projects in Nutrition Research.
This requires expertise in statistical methods useful in clinical trial and observational research including analysis of (co)variance, logistic regression, and causal analysis. SAS, R, or Python programming will be very important skills for this position.
The candidate will present results to non-statisticians (nutrition scientists, medical professionals, and clinical research staff) in an organized and coherent manner.
Visualization tools, apps, and dashboards may be expected in the presentation of results. Written reports describing the research in adequate detail will be expected.
Skills: R (e.g. Tidyverse, Ggplot2, Shiny); SAS (Macros, Data Steps, Proc SQL); Python (e.g. Pandas, Matplotlib, Numpy); Github; MS SQL Server; data visualization; Tableau or Power BI; comfortable with large data; data wrangling & data mining; web scraping, predictive modeling; excellent communication skills
Education: Master’s degree in Statistics or Biostatistics
Experience: 1-3 years
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