Statistician Jobs in Indianapolis, IN (1,687)
System Safety and Reliability Engineer - LibertyWorks
Data Analyst
Quantitative Analyst II
Energy and Water Statistician
Model Validation Lead
Sr. Statistician - Manufacturing
Principal Statistician - Manufacturing
Sr. Computational Statistician
Principal Computational Statistician
Senior Clinical Project Statistician
Senior Computational Statistician - Clinical Trials
Lead Manufacturing Statistician - Process Analytics
Lead Statistician, HTA & RWE Strategy
Director - Statistics
Director of Statistics & Clinical Data Strategy
Senior Clinical Statistics Strategist
Senior Statistical Analysis Scientist (SAS/R)
Principal Biostatistician FSP
Senior Clinical Statistics Advisor: Protocol Design & Analysis
Statistical Research Advisor - Biostatistics
Hybrid Market Risk Analyst II - Analytics & Impact
ERM Market Risk Analyst II
AI Machine Learning Scientist
Senior Biostatistician: Lead Clinical Trials Analytics
Quantitative Analyst II
Senior Model Risk Analyst
Manufacturing Statistics Lead - Process Optimization
Principal Biostatistician - Remote
ML Engineer
Model Risk Analyst
Post Doctoral Fellowship: Global Patient Safety at Lilly Indianapolis, IN
Survey Statistician/Mathematical Statistician
Statistician
Statistician Salary in Indianapolis
Statisticians working in Indianapolis, IN make an average annual salary of $104K and a maximum annual salary of around $164K.
Job Description
Working as a Statistician in Indianapolis, IN
There are 1,687 Statistician opportunities available in Indianapolis, IN all with unique requirements.
The statistician is a member of the research team and is responsible for gathering and analyzing data from surveys, experiments, and observational studies to interpret findings and provide recommendations. This position requires knowledge of good statistical methods (including experimental design, survey design, nonparametric and parametric methods) and the appropriate application in a laboratory or industrial environment. He/she should have sound knowledge in sampling, data collection, study designs, and ethics.
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