Join our dynamic team as a Research Data Analyst Assistant, where you'll play a crucial role in constructing and managing data for impactful projects. Dive into the world of statistical analysis while collaborating with esteemed staff and faculty. Your primary responsibilities will include: Ensuring data quality. Designing study databases. Work alongside experts to deliver tailored statistical analyses. Craft compelling sections for manuscripts and grant applications. Summarize findings. The ide... more details
General Information
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Work Location: Los Angeles, USA
Onsite or Remote
Fully On-Site
Work Schedule
Monday - Friday, 8:00am - 5:00pm
Posted Date
04/15/2024
Salary Range: $31.03 - 65.9 Hourly
Employment Type
2 - Staff: Career
Duration
Indefinite
Job #
14986
Primary Duties and Responsibilities
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Join our dynamic team as a Research Data Analyst Assistant, where you'll play a crucial role in constructing and managing data for impactful projects. Dive into the world of statistical analysis while collaborating with esteemed staff and faculty.
Your primary responsibilities will include:
Ensuring data quality
Designing study databases
Work alongside experts to deliver tailored statistical analyses
Craft compelling sections for manuscripts and grant applications
Summarize findings
The ideal candidate would have experience working with the following databases:
Medical Expenditure Panel Survey
SEER-Medicare
If you're passionate about making a difference in cancer health economics research through data-driven approaches, this is the opportunity for you. Be a part of our groundbreaking work!
Salary: $31.03 - $65.90/hour
Job Qualifications
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Required:
Bachelor's degree in Biostatistics/Statistics/Health Economics/Health Services Research or equivalent experience.
1-2 years of experience in Biostatistics/Statistics/Health Economics/Health Services Researh / Data Science.
Knowledge of basic and multivariate statistics.
Knowledge of research design.
Competency in statistical software applications (e.g., R, SAS, STATA).
Ability to conceptualize and construct tables and graphs.
Working knowledge of statistical and/or econometric analysis of medical cost data.
Ability to summarize statistical analyses for collaborators.
Ability to utilize database management software to run queries, extract data, and construt study cohorts from large administrative databases.
Ability to produce visual tools and dashboards that highlight the essential information from a project or study.
Knowledge of basic office software and applications (e.g., Microsoft Office Suite, Google, Internet search engines, etc.).
Ability to learn new statistical techniques and to adapt existing code to customize statistical/econometric analysis strategies.
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