Why this role stands out
This hybrid Biostatistician role offers a fantastic opportunity to leverage your R/SAS skills in data management, analysis, and modeling within a reputable company, with potential for long-term engagement. You'll thrive here if you possess a strong foundation in epidemiology and statistical modeling, contributing to impactful projects while enjoying the flexibility of a hybrid work environment.
Quick overview
Job description
Position: Biostatistician (R/SAS) -Open Position-CA
Type: contract
Duration: 12+ months
Location: Pasadena, CA (Remote)
Position Overview
- Data management Ability to clean, organize, validate, transform, and maintain datasets. Common tools include SAS, R, Python, SQL, and Excel.
- Programming experience Ability to write code for data cleaning, analysis, automation, and statistical modeling. R/SAS/Python would be especially relevant.
- Epidemiology knowledge Understanding of concepts such as:
- Incidence and prevalence
- Risk factors and outcomes
- Cohort and case-control studies
- Confounding and bias
- Exposure vs. outcome
- Odds ratios and relative risk
- Basic modeling The candidate should be able to perform and interpret:
- Linear regression continuous outcomes
- Logistic regression binary outcomes
- Survival analysis time-to-event outcomes, often using Cox proportional hazards models
Education
- Master of Public Health (MPH) with a concentration in Biostatistics from an accredited MPH program in the United States.
- Bachelor's degree in a scientific, quantitative, or mathematics-based discipline such as Biology, Statistics, Mathematics, Computer Science, Public Health, Biomedical Sciences, or a related
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