RWE Database Analyst Programmer

Posted Yesterday
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2 Locations
In-Office
Mid level
Biotech
The Role
Serve as an RWE subject-matter expert supporting study design, analytics strategy, database evaluation, and statistical programming. Develop, validate, document, and maintain analysis programs, produce efficient statistical outputs, interpret results, review publications, and provide technical database expertise to cross-functional stakeholders.
Summary Generated by Built In

We are currently seeking a RWE Database Analyst Programmer to join a sponsor-dedicated team supporting a global pharmaceutical partner. This is a fully home-based opportunity located in either Poland or the United Kingdom.

As a RWE Database Analyst 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:

  • 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.

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.

Skills Required

  • Bachelor's degree in mathematics, statistics, computing, life science, health science, or related (or equivalent experience)
  • Minimum 2 years experience in Real World Evidence, Epidemiology, or Health Outcomes Research
  • Minimum 2 years working with large healthcare databases (e.g., Komodo, Marketscan, CPRD, MMIT)
  • 1+ years of SAS programming experience in pharmaceutical, biotechnology, CRO, or healthcare analytics
  • Minimum 3 years experience with R and/or Python programming
  • Strong understanding of RWE, epidemiology, and observational research methodologies
  • Knowledge of statistical and epidemiological analysis methods
  • Experience with propensity score matching
  • Experience with Azure Databricks, PySpark, sparklyr, or other cloud-based analytics platforms
  • Ability to communicate effectively with technical and non-technical global stakeholders
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The Company
HQ: Durham, NC
10,811 Employees

What We Do

Fortrea (Nasdaq: FTRE) is a leading global provider of clinical development and patient access solutions to the life sciences industry. We partner with emerging and large biopharmaceutical, medical device and diagnostic companies to drive healthcare innovation that accelerates life changing therapies to patients in need. Fortrea provides phase I-IV clinical trial management, clinical pharmacology, differentiated technology-enabled trial solutions and post-approval services. Fortrea’s solutions leverage three decades of experience spanning more than 20 therapeutic areas, a passion for scientific rigor, exceptional insights and a strong investigator site network. Our talented and diverse team working in more than 90 countries is scaled to deliver focused and agile solutions to customers globally. Learn more about how Fortrea is becoming a transformative force from pipeline to patient at Fortrea.com.

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