Senior Real-World Data Analyst, RWE & Insights

Fortrea; United States; À distance; USD 90 000 - 130 000; Plein temps

Résumé du poste

Fortrea is seeking a Senior Associate-Real-world Data (RWD) Analyst to support Real-world Evidence (RWE) services through complex analyses of data from observational studies and secondary sources such as claims and EHRs. You will follow analytic plans under guidance of biostatisticians and epidemiologists.

You will develop analysis-ready datasets, create TFLs, validate results, and document programming while communicating progress to the team and stakeholders.

Qualifications

• Bachelor's degree in statistics, mathematics, epidemiology, or another relevant field.
• Proficiency in SAS, R, or Python.
• Proficiency in SAS macro language.
• Working knowledge of Word, PowerPoint and Excel.
• Ability to solve problems independently.
• Strong attention to detail and communication.
• Team player mentality and collaboration.

Responsabilités

• Provide programming for analysis of RWD from observational studies and secondary data sources.
• Develop analysis-ready datasets and derivation of analytic variables.
• Independently develop TFLs from analytic datasets per plan.
• Provide programs to validate datasets and results, resolve discrepancies.
• Create and maintain documentation of programming for deliverables.
• Provide quality cross-checks of results and analytic accuracy.
• Communicate status updates to RWE biostatisticians and team.
• Provide analytic programming of other data sources as needed.

Connaissances

Problem solving

Attention to detail

Oral and written communication

Team player mentality

Independent problem solving

Follow defined processes

Formation

Bachelor’s degree in statistics, mathematics, epidemiology, or related field

Outils

SAS

R

Python

SAS macro language

Microsoft Word

PowerPoint

Excel

Description du poste

Fortrea is seeking a Senior Associate-Real-world Data (RWD) Analyst to support Real-world Evidence (RWE) services through complex analyses of data from observational studies and secondary sources such as claims and EHRs. You will follow analytic plans under guidance of biostatisticians and epidemiologists.

You will develop analysis-ready datasets, create TFLs, validate results, and document programming while communicating progress to the team and stakeholders.