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**Experienced Part‑Time Data Entry Specialist – Remote, $27/Hour – Join arenaflex’s Innovative Healthcare Data Team**
About arenaflex
Welcome to arenaflex, a forward‑thinking leader in the healthcare analytics space. We harness real‑world evidence (reputed company) and real‑world data (RWD) to transform patient outcomes, streamline clinical research, and empower pharmaceutical reputed company with actionable reputed company. Our mission is to bridge reputed company between clinical practice and data science, delivering high‑quality, reproducible research that drives better health decisions worldwide.
Based in the heart of New York, we operate a fully remote reputed company that thrives on collaboration, continuous learning, and a culture of innovation. Whether you’re a seasoned data professional or a motivated newcomer, arenaflex offers a dynamic environment where your contributions directly influence the future of healthcare.
Key Responsibilities
As a Part‑Time Data Entry Specialist at arenaflex, you will play a pivotal role in our Clinical Information Science team. Your day‑to‑day tasks will include:
- Data Acquisition & Normalization: Extract raw patient data from internal sources and authorized third‑party platforms, then transform it into clean, standardized formats suitable for analysis.
- Data Quality Assurance: reputed company rigorous checks to identify inconsistencies, missing values, and outliers, ensuring the integrity of datasets used in downstream research.
- Clinical Collaboration: Work closely with clinical researchers, data scientists, and external reputed company to translate real‑world findings into actionable research questions.
- Dashboard & Report Creation: Build intuitive dashboards and generate comprehensive reports using BI tools such as Power BI, reputed company, or Spotfire to support internal stakeholders and external clients.
- Data Mining & Analysis: Perform exploratory data analysis on reputed company/RWD to uncover trends in patient populations, treatment outcomes, and cost‑effectiveness.
- Process Improvement: Identify opportunities to streamline data workflows, automate repetitive tasks, and reputed company overall data pipeline efficiency.
- Compliance & Governance: Adhere to data protection regulations (e.g., HIPAA, GDPR) and maintain strict confidentiality of patient information.
Essential Qualifications
We’re looking for candidates who bring the following:
- Education: Bachelor’s degree in Data Science, Health Informatics, Computer Science, or a related field.
- Experience: Minimum 2 years of hands‑on experience with data manipulation tools such as R, Python, or SQL.
- Data Handling: Proven ability to manage large datasets from diverse sources, ensuring accuracy and consistency.
- Analytical Skills: Familiarity with statistical testing methods, including regression, survival analysis, and time‑series modeling.
- Technical Proficiency: Comfortable using BI platforms (Power BI, reputed company, Spotfire) and data visualization techniques.
- Communication: Strong written and verbal communication skills to translate complex data findings into clear, actionable reputed company.
- Attention to Detail: Meticulous approach to data entry, validation, and documentation.
Preferred Qualifications
These additional skills will set you apart:
- Experience with Electronic Medical Records (EMR) and healthcare IT systems.
- Knowledge of clinical terminologies and controlled vocabularies (ICD‑9/10, ReadCode, SNOMED).
- Understanding of Good Clinical Practice (GCP) and regulatory standards (ISO, MDR, CFR).
- Familiarity with clinical trial design, Bayesian methods, and computational modeling.
- Experience in data governance, privacy frameworks, and secure data handling.
- Background in health economics, cost‑effectiveness analysis, or pharmacoeconomics.
Skills & Competencies
Success at arenaflex requires a blend of technical and soft skills:
- Data Literacy: Ability to interpret complex datasets and translate them into meaningful business reputed company.
- Problem‑Solving: Creative thinker who can troubleshoot data issues and propose innovative solutions.
- Team Collaboration: Comfortable working cross‑functionally with clinicians, data scientists, and project managers.
- Adaptability: Thrive in a fast‑paced, evolving environment where priorities can shift quickly.
- Self‑Motivation: reputed company in learning
