Clinical Application Specialist II

job summary:

• The Contractor in Data Analytics is accountable to a real-world data and analytics leader within the Global Epidemiology function in Clinical Sciences. The role provides expertise of real-world data and analysis methods within Clinical Sciences. Required to draw upon their experience to develop data/statistical analysis plans and execute data analysis with minimal technical oversight. Required to be able to independently deliver data analysis results and findings to epidemiologists or cross-functional members as necessary. This person should be able to do comprehensive literature review for real-world data methodology and coding algorithm. Provide insights into real-world data, analysis tools, and epidemiology study concepts and protocols/proposals.

location: Telecommute job type: Contract salary: $50.00 - 60.23 per hour work hours: 9 to 5 education: Masters

responsibilities:

• Understand general to advanced epidemiology research techniques to apply appropriate research methods to answer questions relating to drug safety
• Be aware of and familiar with public and private resources and databases relevant to epidemiology for use in data analysis
• Independently manages data/statistical analysis plan and analyze specific epidemiology databases to prepare relevant tables and figures. Clearly communicate the results and findings to epidemiologists and cross-functional members as needed
• Contribute to the design of observational studies, including registries, providing critical appraisal of observational study protocols through participation in inter-departmental and cross-functional committees as needed
• Be able to convert sales data to exposure data, overall and stratified by key factors, e.g. age groups, gender, indications by leveraging with real-world data
• Provide epidemiology data to core safety and regulatory documents including, but not limited to, RMPs, PSURs, and Briefing Books
• Be proficient with analysis tools, e.g. SAS, SQL, R, Aetion, for data analysis, modeling, and visualization
• Do comprehensive literature review for analytics methodology and coding algorithms related to real-world data

qualifications:

• MPH or MS degree in Epidemiology, Health Services Research, Pharmacy Administration, or related field. Ph.D. is preferred.
• With 4-5 years of epidemiology and/or public health experience with a Master degree or 1-2 years of experience with a Ph.D. degree (must have). 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.
• 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 different therapeutic areas.

skills: SAS, R Language

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

,

• Understand general to advanced epidemiology research techniques to apply appropriate research methods to answer questions relating to drug safety
• Be aware of and familiar with public and private resources and databases relevant to epidemiology for use in data analysis
• Independently manages data/statistical analysis plan and analyze specific epidemiology databases to prepare relevant tables and figures. Clearly communicate the results and findings to epidemiologists and cross-functional members as needed
• Contribute to the design of observational studies, including registries, providing critical appraisal of observational study protocols through participation in inter-departmental and cross-functional committees as needed
• Be able to convert sales data to exposure data, overall and stratified by key factors, e.g. age groups, gender, indications by leveraging with real-world data
• Provide epidemiology data to core safety and regulatory documents including, but not limited to, RMPs, PSURs, and Briefing Books
• Be proficient with analysis tools, e.g. SAS, SQL, R, Aetion, for data analysis, modeling, and visualization
• Do comprehensive literature review for analytics methodology and coding algorithms related to real-world data

SAS, R Language