Experienced Full Stack Data Scientist – Clinical Trials and Real-World Evidence (RWE) Analysis @careerzynith

• *Join careerzynith's dynamic team as a Part-Time Data Scientist and contribute to the development of cutting-edge research and analysis in the clinical trials and real-world evidence (RWE) space.**

• *About careerzynith**

careerzynith is a leading healthcare company dedicated to improving patient outcomes through innovative research and analysis. With a strong commitment to excellence and a passion for advancing medical knowledge, careerzynith is the ideal place for data scientists to grow and develop their skills.

• *Job Summary**

We are seeking an experienced Full Stack Data Scientist to join our Clinical Trials and RWE Analysis team. As a key member of our team, you will be responsible for creating high-quality research and analysis to support our biopharmaceutical partners and internal stakeholders. You will work closely with our Clinical Trials colleagues to design and execute research studies, analyze RWE/RWD, and develop insights to inform business decisions.

• *Key Responsibilities**

• **Data Mining and Analysis**: Mine crude data collections to deliver normalized, analysis-ready patient datasets from in-house data resources or authorized platforms, analyze and interpret results, and help shape the analysis process.
• **Collaboration and Communication**: Collaborate with other members of the careerzynith Clinical Trials team to deliver significant insights from genuine world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests.
• **Data Cleaning and Storage**: Clean, transform, and store data into a unified data lake for future analysis and broader team utilization.
• **Research and Development**: Perform data mining and statistical analysis to analyze RWE/RWD to discover new insights regarding patient populations and treatment results.
• **Knowledge Sharing and Development**: Support the development of genuine data, analysis, and platform skills, applying advanced investigation and tools to resolve logical inquiries from biopharmaceutical organizations.
• **Study Design and Execution**: Work together on the design and execution of results research studies, ensuring high-quality, thorough, and interpretable expectations from RWE review and examinations.
• **Reporting and Visualization**: Assemble dashboards, analysis, and reports for internal and external use.

• *Essential Capabilities**

• 2 years of experience with R, Python, or SQL
• Experience in designing and executing effective and reproducible statistical analyses regarding the study of disease transmission and observational research with healthcare data
• Knowledge of standard statistical testing methods including generalized linear models, regression and classification, decision trees, machine learning, time series analysis, and survival analysis
• Experience handling large data from various data sources
• Experience handling protected patient health data
• Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI visualization tools

• *Preferred Capabilities**

• Mastery in EMR/Health IT, disease libraries, and claims data sets
• Aptitude in clinical data principles, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
• Experience in Good Clinical Practice (GCP) and regulatory compliance rules for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR)
• Experience with alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and solutions
• Experience with trial design, Bayesian modeling, sequential data, computational statistics
• Understanding of analytics and AI strategies, ability to continue self-learning of technical and non-technical skills

• *What We Offer**

• Competitive hourly rate of $27/hour
• Part-time schedule with 8 hours of work per week
• Opportunity to work with a dynamic team of data scientists and researchers
• Collaborative and supportive work environment
• Professional development and growth opportunities
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off

• *How to Apply**

If you are a motivated and experienced data scientist looking to join a dynamic team and contribute to cutting-edge research and analysis, please submit your application through our website. We look forward to hearing from you!

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