Clinical Data Analyst

Title: Sr. Clinical Data Analyst (Remote)Duration: 6 MonthsLocation: RemoteOnly W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.Job DescriptionDay to Day ResponsibilitiesDevelops study specific annotated CRFs, database documentation, edit check specifications, data handling conventions and data entry instructions.Programs SAS edit checks and SAS macros for clinical trials, encompassing ETL processes, data validations, statistical analyses, and report generation.Design and develop robust ETL/ELT pipelines for structured and unstructured data. Hands-on database administrator skills to manage or identify root cause and resolve issues stemming from the management of structured and/or unstructured data sources.Conduct data automation tasks, including software development, testing, and validation. Familiarity with Power BI, R, Python, HTML, JavaScript, and REST APIs for data downloading is a plus.Collaborate with biostatistics, data scientists, analysts, and stakeholders to support AI/ML model development and deployment. Build and optimize data systems for performance, scalability, and reliability. And ensure data quality, integrity, and security across platforms. Knowledge of the software development life cycle (SDLC) and experience in coding and design. Develop and maintain documentation for data architecture, processes, and workflows. Experienced in Rest API connection.Work related years of experience: Batchlor’s(4-5 years of experience) or Master or above (1-2 years of experience)Required Skills (top 3 non-negotiables):1. Experience with clinical data management documentation, CRF development, EDC building, data quality check – 2 Years minimum 2. Experience with data automation tools and the building and optimizing robust ETL/ELT pipelines for structured and unstructured data – 2 Years minimum3. Programs SAS edit checks and SAS macros for clinical trials – 2 Years minimumPreferred Skills (nice to have)1. Data visualization software such as Power BI, Python, RShiny – 1 Years minimum2. Advanced SQL knowledge and experience with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases – 1 Years minimum3. Exposure to AI/ML concepts and experience supporting model pipelines – 1 Years minimumEducation Requirements: Minimum of a Bachelors’ Degree required; Advanced Degree preferred.Required Testing:SAS include SAS base/Macros/graph/listingData visualization software such as Power BI, Python, RShiny Data pipeline and workflow management tools Web Rest API connection Advanced SQL knowledge and experience with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;Exposure to AI/ML concepts and experience supporting model pipelines A working knowledge of manipulating, processing, and extracting value from large datasets.Number of Interviews: 2Interview Format: Web Conference (Zoom/ TEAMs)