Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Fortrea

RWE Database Analyst, Programmer

Fortrea

RWE Database Analyst Programmer supporting global pharmaceutical partner in data analytics and healthcare databases analysis. Collaborating with scientists and stakeholders to design and interpret studies.

Posted 7/11/2026full-timeRemote • 🇵🇱 PolandJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
AzureCloudPySparkPython

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • Bachelor’s degree, preferably in mathematics, statistics, computing, life science, health science, or related subjects.
  • Experience: Minimum 2 years of experience in Real World Evidence, Epidemiology, Health Outcomes Research, or related environments.
  • Minimum 2 years of experience working with large healthcare databases such as Komodo, Marketscan, CPRD or MMIT.
  • 1+ years of experience in SAS programming within the pharmaceutical, biotechnology, CRO, healthcare analytics, or related industry.
  • Minimum 3 years of experience with R and/or Python programming.
  • 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.
  • Ability to communicate effectively with technical and non-technical stakeholders in a global environment.

Benefits

Comp & perks
  • Health insurance
  • Professional development opportunities

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Statistical AnalysisEpidemiological AnalysisData ValidationDatabase Quality EvaluationPropensity Score MatchingStudy Design InputAnalysis Plan DevelopmentDocumentation of Study OutputsCloud-Based AnalyticsProgramming in R
Soft Skills
Effective CommunicationStakeholder Engagement