Data Analyst/R/SAS/ (Public Health Or Biostatistics)

Position Overview

We are seeking highly qualified data analyst/ statistical programmers to support healthcare, clinical research, and data analytics initiatives. The ideal candidate will possess strong analytical and programming skills, a solid scientific background, and the ability to communicate complex findings effectively to both technical and non-technical stakeholders.

Education

• Master of Public Health (MPH) with a concentration in Biostatistics from an accredited MPH program in the United States.
• Bachelor's degree in a scientific, quantitative, or mathematics-based discipline such as Biology, Statistics, Mathematics, Computer Science, Public Health, Biomedical Sciences, or a related field.

Experience

• Research experience through academic, clinical, public health, pharmaceutical, healthcare, or industry-based projects.
• Experience working with large datasets and performing statistical analyses.
• Familiarity with research methodologies, study design, and data interpretation.

Technical Skills

• Strong programming and data analysis skills.
• Experience with one or more statistical programming languages and tools such as SAS, R, Python, SQL, or similar technologies.
• Ability to develop, validate, and maintain analytical programs, reports, and data pipelines.
• Experience with data management, quality control, and statistical reporting.

Communication Skills

• Excellent verbal and written communication skills.
• Ability to clearly explain analytical findings and research outcomes to diverse audiences.
• Strong documentation, presentation, and technical writing capabilities.

Key Responsibilities

• Develop and maintain statistical and analytical programs to support research and healthcare initiatives.
• Analyze complex datasets and generate meaningful insights.
• Collaborate with researchers, clinicians, and cross-functional teams to support study objectives.
• Prepare reports, visualizations, and presentations summarizing research findings.
• Ensure data accuracy, integrity, and compliance with organizational standards.
• Contribute to research publications, abstracts, and technical documentation as needed.