Clinical Data Analyst, Poland
Brak informacji o wynagrodzeniu
JuniorFull-time
#369973·Dodano dziś·0
Źródło: Rho IncTech Stack / Keywords
NetworkData ScienceData WarehousingETLSQLCloudMicrosoft AzureMachine Learning
Firma i stanowisko
At Rho, we guide clients through clinical trial program strategies and development of marketing applications demanded by regulatory authorities.
Wymagania
- Bachelor's degree in data analytics, statistics, mathematics, computer science, or related field.
- 0-3 years of experience in data analytics, data science, or data engineering; experience in contract research organizations preferred.
- Experience with Microsoft Fabric and NetSuite.
- Knowledge of data warehousing, ETL processes, and SQL programming.
- Knowledge of cloud platforms, especially Microsoft Azure.
- Knowledge of data analytics and statistical modeling techniques including regression, classification, clustering, optimization, simulation, machine learning, and AI.
- Proficiency in scripting, data blending, visualization, and statistical programming languages such as Python, R, SQL, SAS, Spotfire, Tableau, Power BI, and Alteryx.
- Experience designing, developing, and maintaining data systems and databases with data governance principles.
- Strong data communication and presentation skills.
- Strong analytical, problem-solving, collaboration, and interpersonal skills.
- High attention to detail and quality.
- Self-motivated and able to work independently under pressure in a fast-paced environment.
Obowiązki
- Leads notebook tasks for project-specific reporting, ensuring reports meet stakeholder needs.
- Provides technical support for Rave EDC build, including custom function programming.
- Develops, validates, and updates template notebooks for reporting.
- Programs data listings for Protocol Deviation review.
- Captures, develops, and documents data definitions, business rules, and data quality requirements.
- Performs quality data audits and analysis to ensure compliance with reporting requirements.
- Communicates and presents data recommendations clearly.
- Identifies opportunities for data and process improvement, innovation, and optimization.
- Participates in data integration, cleaning, analyses, modeling, mining, text and social media analytics, rapid prototyping, and visualization projects.
- Implements new statistical or mathematical methodologies as needed.
Rho Inc
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