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/molecular genetics. Additionally, proficiency with bioinformatics tools and software (e.g., GATK, IGV, Variant Effect Predictor, Python, R, SQL) is also preferred. Emory University offers competitive
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discussions with energy scholars, labor unions, and policymakers. Analyze and visualize data using qualitative and quantitative tools (e.g., R, Python, MAXQDA). Co-author peer-reviewed articles and contribute
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. PREFERRED QUALIFICATIONS: Doctoral degree in Epidemiology or a closely related field. Proficiency in statistical programming (R or Python) and experience working with large, complex administrative or clinical
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, including database and API design, data extraction/transformation/load, and data aggregation/integration. PREFERRED QUALIFICATIONS: Strong programming skills in Python and Bash. Excellent Linux/Unix system
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or cross-functional teams through consulting clubs, capstones, internships, or co-ops. Strong analytical skills: Excel, Python or R (preferred), and data visualization (Tableau/Power BI). Process mapping
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, SQL Server, MySQL, PostgreSQL) Python or similar scripting language proficiency Data Engineering & Architecture: Experience designing and implementing large-scale data warehouses and ETL/ELT pipelines
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analytical skills: SQL (required), SAS, Python, or R for statistical analysis and data manipulation. Data visualization: Tableau, Power BI, or similar tools to create dashboards and interactive reports
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the ability to articulate business needs and translate them into actionable technical requirements. Experience using scripts or tooling (e.g., Python, SQL, ETL tools) to manipulate and combine datasets
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(or equivalent) in public health, health services, health policy, gerontology, or social work. Proficiency with data analysis and coding language (SAS, R, STATA, SPSS, Python, etc.) ideally with experience