Clinical Data Analyst

Title: Sr. Clinical Data Analyst (Remote)

Duration: 6 Months

Location: Remote

Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.

Job Description

Day to Day Responsibilities

• Develops 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 minimum

3. Programs SAS edit checks and SAS macros for clinical trials – 2 Years minimum

Preferred Skills (nice to have)

1. Data visualization software such as Power BI, Python, RShiny – 1 Years minimum

2. Advanced SQL knowledge and experience with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases – 1 Years minimum

3. Exposure to AI/ML concepts and experience supporting model pipelines – 1 Years minimum

Education Requirements: Minimum of a Bachelors’ Degree required; Advanced Degree preferred.

Required Testing:

• SAS include SAS base/Macros/graph/listing
• Data 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: 2

Interview Format: Web Conference (Zoom/ TEAMs)