Biostatistician - Clinical Data & EHR Analytics

University of Georgia; Athens (GA); Presencial; USD 55 000 - 65 000; Tempo integral

Resumo da oferta

University of Georgia, Athens, GA, invites applications for the Biostatistician I position within Public Health-Epidemiology & Biostatistics. The role provides statistically rigorous support for clinical and biomedical studies, including collaboration with investigators, development of analysis plans, and reporting findings in publications and grant proposals.

Preferred candidates will have a Master’s in biostatistics or statistics and strong proficiency with SAS, R, and Python.

Qualificações

• Master’s degree in biostatistics or statistics.
• Proficient in SAS, R, and Python.
• Knowledge of study design and SAP development.
• Ability to analyze large biomedical datasets.
• Experience with clinical trials and biomedical research data.
• Excellent written and verbal communication.

Responsabilidades

• Participate in lab meetings and contribute to methodological development.
• Analyze data from platforms like N3C, UK Biobank, and AllofUs.
• Develop statistical methods for EHR, single-cell, and RCT data.
• Prepare SAPs and power analyses to support grant writing.
• Contribute to manuscript preparation and dissemination of findings.
• Ensure data confidentiality and data quality.

Conhecimentos

Statistical methods

SAS, R, Python

Study design

Large data analysis

Clinical trials data

Communication skills

Team collaboration

Data quality assurance

Formação académica

Master’s degree in biostatistics or statistics

Ferramentas

SAS

R

Python

Descrição da oferta de emprego

University of Georgia, Athens, GA, invites applications for the Biostatistician I position within Public Health-Epidemiology & Biostatistics. The role provides statistically rigorous support for clinical and biomedical studies, including collaboration with investigators, development of analysis plans, and reporting findings in publications and grant proposals.

Preferred candidates will have a Master’s in biostatistics or statistics and strong proficiency with SAS, R, and Python.