Biostatistician (R/SAS)
Infonex Technologies Inc.
Pasadena, CA, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Microsoft Excel
Computer Programming
Data Cleansing
R (Programming Language)
Python (Programming Language)
Linear Regression
Logistic Regression
SAS (Software)
SQL Databases
Information Technology
Data Management
Job description
- Data management Ability to clean, organize, validate, transform, and maintain datasets. Common tools include SAS, R, Python, SQL, and Excel.
Requirements
- 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
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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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