Data Analyst/R/SAS/ (Public Health Or Biostatistics)
Position: Statistical Programmer (R/SAS) -Open Position-CA Type: contract Duration: 12+ months Location: Pasadena, CA (Remote) 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.
Required Qualifications
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.
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