RWE Programmer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 8d ago
The date the source published, not the day we noticed it (2026-09-23). Last seen at its source 1h ago.
We have tracked this listing since 23 Sep 2026 (8 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Slovakia, Belgium, Estonia, Italy, Ireland, United Kingdom, Bulgaria, Ukraine, Czechia, Poland, Portugal, Germany, Turkey, Latvia, Denmark, Spain, Slovenia, Sweden, Finland, Serbia, Greece, Norway, Lithuania, Romania
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay PLN 302.4k–399.8k/yr
Middle 50% of 44 listings that do state pay — Engineering · all levels · Poland · PLN/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workday employer's own board first seen 8d ago · last seen 1h ago
- location not stated
The listing
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 or MMIT)
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.