RWE程序员

Job Title: RWE Programmer
Job Location: Warsaw
Job Location Type: Remote
Job Contract Type: Full-time
Job Seniority Level:
We are currently seeking a RWE Programmer to join a sponsor-dedicated team supporting a global pharmaceutical partner. This is a fully home-based opportunity.

As a RWE Programmer, you will serve as a subject matter expert in Real World Data analytics and support the analysis of large healthcare databases to generate high-quality RWE for current and future compounds.

Working closely with RWE Scientists, Epidemiologists, Statisticians, and cross-functional stakeholders, you will contribute to study design, analytical strategy, database evaluation, programming, and interpretation of study results. This is a highly visible global role that combines advanced programming expertise with strong epidemiological and analytical knowledge.

Summary of Responsibilities:

• Supports Statistical programming activities in Real World Evidence.

• Provides input on study design and analysis plans where necessary.

• Develops, validates, maintains, and documents analysis programs and other study documents.

• Provides input on interpretation of results and reviews publications

• Evaluates the quality of the database.

• Provides technical database expertise to stakeholders

• Ensures that statistical outputs are produced in an efficient manner.

• Reviews the study concept, protocol design, analysis plans and other study-related documents.

Qualifications (Minimum Required):

• Bachelor’s degree, preferably in mathematics, statistics, computing, life science, health science, or related subjects.

• Experience and/or education plus relevant work experience, equating to a Bachelor's degree.

• Fortrea may consider relevant and equivalent experience in lieu of educational requirements.

Experience:

• Typically 3-5 years of experience in Real World Evidence, Epidemiology, Health Outcomes Research, or related environments.

• Experience working with large healthcare databases such as Komodo, Marketscan, CPRD orMMIT)

• Experience in SAS or R programming within the pharmaceutical, biotechnology, CRO, healthcare analytics, or related industry.

• Python programming.

Skills & Competencies

• Strong understanding of Real World Evidence, epidemiology, and observational research methodologies.

• Knowledge of statistical and epidemiological analysis methods; experience with propensity score matching is a plus.

• Experience with Azure Databricks, PySpark, sparklyr, or other cloud-based analytics platforms is advantageous.

• Strong analytical, problem-solving, and data interpretation skills.

• Ability to communicate effectively with technical and non-technical stakeholders in a global environment.

• Strong organizational skills with the ability to manage multiple priorities and work independently.

Learn more about our EEO & Accommodations request here.

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Originally posted on Himalayas