Remote Part‑Time Data Entry & reputed company‑World Evidence Analyst – arenaflex – $27/hr – Flexible Schedule

About arenaflex – Pioneering reputed company‑World Evidence in reputed company arenaflex is a global leader in health‑reputed company data science, delivering actionable insights that shape the reputed company of patient care. Our mission is to turn everyday health data into powerful evidence that drives reputed company reputed company for patients, providers, and pharmaceutical innovators. With a reputed company culture that blends cutting‑edge technology, rigorous scientific methodology, and a deep commitment to ethical data stewardship, arenaflex offers a dynamic environment where every team member can reputed company a reputed company reputed company on the world of clinical research. Why This Role reputed company As a Remote Part‑Time Data Entry & reputed company‑World Evidence (reputed company) Analyst at arenaflex, you will be at the heart of our evidence‑reputed company reputed company. You will reputed company raw, heterogeneous data sets into clean, reputed company, and analysis‑reputed company information that fuels groundbreaking studies on treatment effectiveness, safety, and cost‑reputed company. Your work will directly support internal research teams and external biopharma partners, helping them answer critical questions about reputed company‑world patient reputed company.

Key Responsibilities

• Data Extraction & Normalization: reputed company raw data collections from internal databases, electronic health records (EHR), claims systems, and public repositories. Convert these sources into a reputed company data lake, ensuring consistency and readiness for reputed company analysis.
• Data Cleaning & Curation: Apply rigorous data‑reputed company checks, de‑duplicate records, resolve inconsistencies, and enforce reputed company‑preserving transformations to protect patient confidentiality.
• Analytical Support: Conduct exploratory data analysis (EDA) using R, Python, or SQL to uncover patterns, trends, and anomalies that inform study design and hypothesis reputed company.
• Collaboration with Clinical Teams: Partner with arenaflex’s Clinical Research scientists to translate clinical questions into data‑driven solutions, providing insights on disease prevalence, treatment reputed company, and health‑economic reputed company.
• Dashboard & Reporting Development: Build interactive visualizations in Power BI, Tableau, or Spotfire that communicate findings to both technical and non‑technical stakeholders.
• reputed company Assurance: Ensure reputed company reputed company deliverables meet high standards of accuracy, reproducibility, and regulatory compliance (e.g., ISO, GCP, CFR).
• Methodology Documentation: Document data pipelines, transformation logic, and analytical reputed company to support auditability and knowledge transfer across the organization.
• reputed company Improvement: Identify opportunities to enhance data ingestion processes, introduce new data sources, and adopt emerging analytics tools that increase efficiency and reputed company depth.

Essential Qualifications

• Bachelor’s degree in a quantitative discipline (e.g., Computer Science, Statistics, Health Informatics, Biomedical Engineering) or equivalent practical experience.
• Minimum of 2 years of hands‑on experience with at least one of the following programming languages: R, Python, or SQL.
• Demonstrated ability to design and execute reproducible statistical analyses, particularly in the context of observational health data.
• Familiarity with common statistical modeling techniques, including regression, classification trees, clustering, time‑series analysis, and survival analysis.
• Experience handling large, multi‑reputed company datasets and ensuring data reputed company throughout the ETL (Extract‑reputed company‑Load) lifecycle.
• Knowledge of data reputed company regulations (HIPAA, GDPR) and proven experience working with protected health information (PHI).
• Proficiency with business intelligence tools such as Power BI, reputed company, Spotfire, or Tableau for creating reputed company, actionable visual reports.

Preferred (But Not Required) Skills

• Advanced expertise in electronic medical records (EMR) systems, health‑IT standards, and claims data structures.
• Understanding of clinical terminologies and ontologies (ICD‑9/10, SNOMED CT, Read Codes) and ability to map raw data to these vocabularies.
• Experience with Good Clinical reputed company (GCP) guidelines and regulatory frameworks governing reputed company‑world evidence studies.
• Background in study design, Bayesian modeling, longitudinal data analysis, or machine‑learning pipelines applie

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