Freelance Clinical Data Analyst, Poland

Job Description

Join us in redefining what it means to work for a CRO.

When you work at Rho, it’s more than just a job—you become part of the Rho Factor. We’re a proud bunch of science nerds who love tackling big challenges together. We’re not your typical CRO, and we’re not trying to be. Here, curiosity is encouraged, fresh approaches are welcome, and collaboration is at the heart of everything we do.

Whether you’re a data wizard, analytical genius, project mastermind, or any other role, you’ll fit right into the equation of the Rho Factor. Expect plenty of geeky jokes, eccentric personalities, spontaneous brainstorms, and a supportive community where people genuinely care about their work—and each other.

You’ll have the opportunity to experience a thriving company with real stability - financial, workforce, and corporate, which has created a safe environment to innovate and develop over a long and rewarding career.

Rho is looking for a Freelance Data Analyst to join us on a freelance basis in Poland. The Data Analyst is responsible for contributing to data analytics projects that support the organization's strategic goals and objectives. This role will use programming and data visualization tools to generate reports for clinical trial study teams and internal stakeholders, fostering informed decision-making and strategic insights.

As a Freelance Data Analyst, you will have the flexibility to work remotely from Poland while being part of a collaborative and innovative environment.

Responsibilities:

• Leads the R programming tasks associated with project-specific reporting, working across the project team to ensure final reports meet the needs of all internal stakeholders.
• Serves as technical support for Rave EDC build, including custom function programming.
• Develops, validates, and makes updates as needed to a library of template R programs to support reporting needs.
• Programs data listings for Protocol Deviation review.
• Capture, develop, and document data definitions, business rules, and data quality requirements.
• Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis.
• Communicate and present data recommendations in a clear and compelling way
• Identify opportunities for data and process improvement, innovation, and optimization.
• Participate in projects and tasks related to data integration, data cleaning, descriptive analyses, exploratory analyses, predictive modeling, data mining, text analytics, social media analytics, social network analysis, rapid prototyping, and data visualization to solve problems
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis

Requirements

• 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 working in a contract research organization or a related industry is preferred.
• Demonstrated knowledge in data warehousing, ETL processes, and SQL programming.
• Demonstrated knowledge in cloud platforms, particularly Microsoft Azure.
• Demonstrated knowledge in data analytics and statistical modeling techniques, such as regression, classification, clustering, optimization, simulation, machine learning, and artificial intelligence.
• Proficiency in scripting, data blending, data visualization, and statistical programming languages, such as Python, R, SQL, SAS, Spotfire, Tableau, Power BI, and Alteryx.
• Demonstrated knowledge in designing, developing, and maintaining data systems and databases, using data warehousing, data integration, data quality, and data governance principles and tools.
• Strong data communication and presentation skills, with the ability to translate data into actionable insights and recommendations for diverse audiences.
• Strong analytical and problem-solving skills.
• Strong collaboration and interpersonal skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization.
• High attention to detail and quality, with the ability to ensure data accuracy, validity, and reliability.
• Self-motivated and proactive, with the ability to work independently and under pressure in a fast-paced and dynamic environment.

If you are passionate about making a difference in the healthcare field and possess the analytical skills to back it up, we would love to hear from you! Please submit your CV in English.