Statistical Analyst | Remote

Role: Applied Statistical Scientist – Biostatistics, Econometrics & Engineering StatisticsEngagement: Remote | Contract / FreelanceExperience: 4+ years hands-on experience; 5+ years preferredEducation: Master’s degree or higher About the RoleWe are looking for experienced Applied Statisticians and Statistical Scientists who use advanced statistical methods to solve real-world research and analytical problems.Relevant backgrounds include Biostatistics, Pharmacometrics, Statistical Genetics, Econometrics, Experimental Design, Process Statistics, and Reliability Engineering. Relevant SpecializationsBiostatisticsClinical or biomedical statistical analysisPharmacometric modelingStatistical genetics/genomicsLongitudinal or survival analysisEconometricsCausal inferencePanel data analysisTime-series analysis and forecastingPolicy or economic impact modelingEngineering StatisticsDesign of Experiments (DOE)Statistical Process Control (SPC)Reliability and failure analysisQuality and process optimization Key ResponsibilitiesDesign and conduct statistically rigorous analyses and experiments.Develop statistical models for complex real-world datasets.Perform hypothesis testing, regression, causal analysis, forecasting, or experimental design.Evaluate assumptions, uncertainty, bias, and model robustness.Write Python/SQL workflows for data preparation, analysis, and validation.Interpret statistical results and communicate conclusions clearly.Develop reproducible statistical analyses and validation frameworks. Required Qualifications4+ years of hands-on statistical modeling or research experience; 5+ years preferred.Master’s degree or PhD in Statistics, Biostatistics, Econometrics, Mathematics, Engineering, Epidemiology, Quantitative Economics, or another highly quantitative discipline.Strong hands-on command of statistics and Python.Strong SQL skills for analytical data work.Deep expertise in at least one relevant statistical specialization.Strong understanding of probability, statistical inference, regression, hypothesis testing, and experimental methodology.Active and credible professional LinkedIn profile. Relevant ProfilesBiostatistician, Senior Biostatistician, Pharmacometrician, Statistical Geneticist, Applied Economist, Econometrician, Quantitative Economist, Reliability Engineer, Statistical Engineer, Design of Experiments Engineer, or Process Statistics Specialist.