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Jobs or company...

Clinical Application Specialist I

Salary undisclosed

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Dice

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

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Job Description

Job Description

Job Description:
Major responsibilities include a) contributing to data analysis plan documentation and management and systematic programming approach to derive clinical variables from real-world data; b) operationalizing relevant clinical variables and measures with minimal technical oversight; c) preparing relevant tables and figures and contributing to the interpretation of results; d) understanding strengths and weaknesses of specific databases; e) delivering data analysis results and findings to epidemiologists or cross-functional members as necessary.

This person should be able to do comprehensive literature reviews for real-world data methodology and coding algorithms, and provide insights into real-world data, analysis tools, and epidemiology study concepts and protocols/proposals.

Responsibilities:

Understand general to advanced epidemiology research techniques and apply appropriate research methods to answer research questions relating to drug safety
Perform SAS programming at an advanced level to operationalize clinical concepts and measures in immunology
Contribute to the design of observational studies using real-world data through data exploration
Document and manage data analysis plan and analyze specific epidemiology databases to prepare results in relevant tables, figures, and visualizations
Do comprehensive literature review for analytics methodology and coding algorithms related to real-world data

Experience/Skills:
MPH or MS degree in Epidemiology, or related field. Ph.D. is preferred, with 1-2 years of epidemiology and/or public health experience with a Master degree or 2-3 years of experience with a Ph.D. degree. Pharmaceutical industry experience is preferred.

Proficient with SAS, SQL, R, or related statistical software or other data analysis tools for data analysis, modeling, and visualization.
SAS Advanced Programming certificate is preferred
Familiar with real-world data (e.g. health insurance claims, EMRs) concepts and structures. Extensive experience in manipulating and analyzing these databases is required.
Knowledge and experience in data analysis in immunology is preferred.

Entry-level position. Generate tables, listings, and graphs for a compound project. Responsible for participating in the validati

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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