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Data Analyst - Job Opportunity at Drexel University

Philadelphia, United States
Part-time
Mid-level
Posted: June 2, 2025
Hybrid
USD 45,000-65,000 per year (prorated for part-time basis, likely USD 25,000-35,000 annually). This range reflects the academic setting which typically offers 15-25% lower compensation than industry roles but provides significant non-monetary benefits including publication opportunities and flexible schedules.

Benefits

Hybrid/flexible work arrangement providing work-life balance and reduced commuting costs
Co-authorship opportunities on peer-reviewed scientific publications enhancing professional credentials
Collaboration with prestigious Children's Hospital of Philadelphia expanding professional network
Academic environment fostering continuous learning and professional development

Key Responsibilities

Execute comprehensive data management and documentation protocols ensuring research integrity and regulatory compliance for high-impact environmental health studies
Perform advanced statistical analysis and data visualization to uncover critical insights linking environmental factors to children's health outcomes
Support preparation of human subjects research protection proposals and progress reports, contributing to ethical research standards and funding continuity
Collaborate independently with cross-institutional research teams at Drexel University and Children's Hospital of Philadelphia to drive scientific discovery

Requirements

Education

Minimum of Master's Degree in Statistics, Biostatistics, Epidemiology, or related quantitative field

Experience

Minimum of 2+ years of work experience managing and analyzing data

Required Skills

Intermediate/advanced knowledge of R and SAS Familiarity with statistics for epidemiologic studies, including longitudinal analyses Very detail oriented and extremely organized Strong problem-solving skills Ability to follow direction yet work independently Excellent English oral and written skills
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Sauge AI Market Intelligence

Industry Trends

Environmental health research is experiencing unprecedented growth due to increasing awareness of climate change impacts on public health, with federal funding from NIH and EPA reaching record levels for pediatric environmental health studies Academic institutions are increasingly prioritizing interdisciplinary collaboration between public health schools and medical centers, creating more opportunities for data analysts with specialized biostatistics expertise The field is shifting toward geospatial analysis and mapping technologies as researchers seek to understand environmental exposure patterns, driving demand for analysts with GIS capabilities

Role Significance

Small, highly collaborative research team typically consisting of 3-5 members including the principal investigator, 1-2 data analysts, research coordinators, and graduate students. The flat organizational structure promotes direct interaction with senior researchers and co-authorship opportunities.
This is a specialized mid-level research position that bridges technical data analysis with scientific research methodology. The role carries significant autonomy and responsibility for data integrity in studies that may influence public health policy and clinical practice recommendations.

Key Projects

Longitudinal cohort studies tracking environmental exposures and health outcomes in pediatric populations over multiple years Cross-sectional analyses of environmental justice issues examining disparities in pollution exposure across socioeconomic groups Meta-analyses combining multiple datasets to identify patterns in environmental health risks across different geographic regions

Success Factors

Mastery of advanced statistical methods for longitudinal data analysis, as epidemiologic studies often track subjects over extended periods requiring sophisticated analytical approaches Strong attention to detail and data quality assurance skills, as research integrity and reproducibility are paramount in academic publishing Ability to translate complex statistical findings into clear visualizations and narratives for diverse audiences including researchers, policymakers, and grant reviewers Proactive communication and collaboration skills to work effectively with interdisciplinary teams spanning public health, medicine, and environmental science

Market Demand

High demand with growing market opportunities. Environmental health data analysis represents a rapidly expanding niche within biostatistics, driven by increased funding for climate health research and regulatory requirements for environmental impact assessments.

Important Skills

Critical Skills

Advanced proficiency in R and SAS is absolutely essential as these are the primary analytical tools used in epidemiologic research, with R becoming increasingly important for reproducible research practices and advanced visualization capabilities Statistical expertise in longitudinal data analysis is crucial because environmental health studies typically follow subjects over time to establish causal relationships between exposures and health outcomes Meticulous attention to detail and organizational skills are fundamental to maintaining data integrity and ensuring reproducible results, which are core requirements for publication in peer-reviewed journals

Beneficial Skills

Geographic Information Systems (GIS) expertise using ArcGIS is increasingly valuable as environmental health research incorporates spatial analysis to understand exposure patterns and environmental justice issues Knowledge of causal inference methods and epidemiologic study design principles would enhance the analyst's ability to contribute to study planning and interpretation of results Familiarity with data management systems and electronic health records integration would be advantageous given the collaboration with clinical partners and large-scale dataset management requirements

Unique Aspects

Direct collaboration with Children's Hospital of Philadelphia, one of the nation's premier pediatric medical centers, providing access to unique clinical datasets and translational research opportunities
Focus on environmental justice and health disparities research, addressing critical societal issues while building expertise in high-impact research areas
Opportunity for co-authorship on peer-reviewed publications, providing valuable academic credentials and professional recognition in the scientific community
Integration of geospatial analysis and mapping technologies, positioning the analyst at the forefront of emerging methodological approaches in environmental health research

Career Growth

Career advancement typically occurs within 3-5 years with demonstrated publication record and expanded technical expertise. Transition to senior roles often requires additional specialization in areas like causal inference methods or environmental modeling.

Potential Next Roles

Senior Research Data Analyst or Biostatistician positions with increased project leadership responsibilities Research Scientist roles focusing on environmental epidemiology with potential for independent grant funding Academic positions as Lecturer or Assistant Professor in Schools of Public Health or Medicine

Company Overview

Drexel University

Drexel University is a comprehensive research university with strong emphasis on experiential learning and industry partnerships. The Dornsife School of Public Health is relatively new but rapidly growing, with significant investments in environmental health research infrastructure and faculty recruitment.

Drexel ranks among the top 100 research universities nationally with particular strength in health sciences and engineering. The university's urban Philadelphia location and partnerships with major medical centers provide unique opportunities for translational research.
Philadelphia serves as a major hub for healthcare and life sciences research, with proximity to University of Pennsylvania, Thomas Jefferson University, and numerous pharmaceutical companies creating a robust ecosystem for health research collaboration.
Academic environment emphasizing research excellence, collaborative inquiry, and mentorship. The university culture promotes work-life balance through flexible arrangements while maintaining high standards for scholarly productivity and innovation.
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