Clinical Application Specialist I

Research Visionary Innovation Algorithms Epidemiology Data Analysis Biotechnology SAS (Software) Pharmaceuticals Real World Data Quality Assurance Literature Reviews Critical Appraisal Clinical Experience Statistical Analysis Regulatory Documents Statistical Software R (Programming Language) SQL (Programming Language) Engineering Design Process, The Clinical Application Specialist I role is pivotal in providing expertise in real-world data and analysis methods within the Global Epidemiology function in Clinical Sciences. The position requires the contractor to develop data/statistical analysis plans and execute data analysis with minimal oversight. The candidate will deliver data analysis results to epidemiologists or cross-functional members, conduct comprehensive literature reviews, and provide insights into epidemiology study concepts and proposals.

You will generate tables listings and graphs for a compound project. Responsible for participating in the validation and quality assurance of any output produced. Generate and review validated table listing and graph output meeting the needs of clinical projects. Prefer candidate with clinical experience. SAS program experience required.

Responsibilities

• Apply general to advanced epidemiology research techniques to answer drug-related questions using public and private resources.
• Independently manage data/statistical analysis plans, analyze epidemiology databases, and prepare relevant tables and figures.
• Communicate results and findings to epidemiologists and cross-functional team members.
• Contribute to the design and critical appraisal of observational study protocols through inter-departmental committees.
• Convert sales data to exposure data, stratified by factors such as age, gender, and indications.
• Provide epidemiology data to core safety and regulatory documents, including RMPs and PSURs.
• Utilize analysis tools such as SAS, SQL, R, and Aetion for data analysis, modeling, and visualization.
• Conduct comprehensive literature reviews on analytics methodology and coding algorithms related to real-world data.

• 1+ years of experience with a Ph.D (pharmaceutical/biotech internship preferred)
• Proficiency in SAS, SQL, R, or related statistical software for data analysis, modeling, and visualization.
• Familiarity with real-world data, such as health insurance claims and EMRs, with extensive database manipulation and analysis experience.
• Knowledge and experience in various therapeutic areas.

Additional Skills & Qualifications

• Pharmaceutical industry experience is preferred.
• Clinical experience is preferred., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

This role is 100% remote, offering flexibility and the opportunity to work from the comfort of your home. Job Type & Location

This is a Contract position based out of North Chicago, IL. Pay and Benefits

The pay range for this position is $42.00 - $46.00/hr.

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