**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!