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

Infonex Technologies Inc.
Pasadena, CA, United States
17 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Big Data Computer Programming R (Programming Language) Python (Programming Language) SAS (Software) SQL Databases Information Technology Statistics Packages Data Analytics Data Management Data Pipelines

Job description

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., * 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.

Requirements

  • 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., * 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.

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