Description
Apply biometric and statistical methods to design studies and analyze biological, ecological, agricultural, or medical data, modeling growth, survival, genetics, and population dynamics. Ensure rigorous data collection, valid inference, and clear communication of results to scientists and decision-makers.
- • Report results of biometric analyses using clear graphs, tables, and maps.
- • Process and curate field, lab, sensor, and clinical data for modeling and visualization.
- • Identify biological relationships and trends, such as growth, survival, abundance, and dose-response.
- • Analyze data with GLM/GLMM, survival, longitudinal, multivariate, and Bayesian methods.
- • Prepare datasets by validating measurements, handling missingness, and applying calibration or weighting.
- • Evaluate study designs, sampling schemes, and statistical assumptions for validity and efficiency.
- • Assess data sources and instruments for reliability, detection limits, and bias.
- • Plan data collection protocols, sampling frames, and sample sizes for experiments and surveys.
- • Design experiments and monitoring programs with randomization, blocking, stratification, and power analysis.
- • Supervise and train field and lab teams in standardized measurement and data entry quality control.
- • Apply sampling techniques such as mark-recapture, distance sampling, plots, transects, and cluster designs.
- • Adapt statistical methods to biological problems in genetics, ecology, epidemiology, and agriculture.
- • Develop and validate models for population dynamics, occupancy, growth/yield, and genotype-phenotype associations.
- • Advance or adapt methods for detection probability, measurement error, and hierarchical structure.
- • Author peer-reviewed manuscripts, study reports, and technical documentation.
- • Develop reproducible code and tools in R or Python for biometric modeling and visualization.
- • Present findings and recommendations to scientists, clinicians, resource managers, and stakeholders.
- • Select appropriate methods, priors, and diagnostics based on study objectives and biological context.
- • Design and maintain databases or data warehouses with metadata and compliance controls.
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Healthcare & Human Services
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O*NET occupational data (work activities, skills, knowledge).
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This site includes information from O*NET by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Career Clutch has modified some of this information for student readability. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.
Last reviewed: Jan 2026
