Clinical Data Engineer

Position Overview

Our client is looking for a dedicated Clinical Data Engineer to enhance clinical trial data operations for a 12+ month contract. This is a fully remote position where you will work on programming SAS edit checks and macros, building and optimizing ETL/ELT pipelines, and ensuring the highest data quality across various sources. You will collaborate with clinical, biostatistical, regulatory, and R&D teams to support analytics and AI/ML model pipelines. Join a collaborative team working on PST hours and make an impactful contribution to life sciences.

Note: Due to client requirements, applicants must be willing and able to work on a W2 basis. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, a 401k with company matching, and life insurance.

Compensation: Rate: $60.00 to $70.00/hr. W2

Key Responsibilities

• Develop detailed study-specific annotated CRFs, database documentation, edit check specifications, data handling conventions, and data entry instructions.
• Program SAS edit checks and SAS macros for clinical trials, including ETL processes, data validations, statistical analyses, and report generation.
• Design and construct robust ETL/ELT pipelines to handle both structured and unstructured data.
• Utilize hands-on database administration skills to identify root causes and resolve data issues effectively.
• Execute data automation tasks, including software development, testing, and validation.
• Employ expertise in Power BI, R, Python, HTML, JavaScript, and REST APIs for data downloading.
• Partner with biostatistics, data scientists, analysts, and other stakeholders to support AI/ML model development and deployment.
• Enhance data systems for performance, scalability, and reliability while maintaining data quality, integrity, and security.
• Utilize knowledge of the software development life cycle to code, design, and document data architecture, processes, and workflows.
• Implement and manage REST API connections.

Experience Requirements

• Minimum of 2 years in clinical data management, including documentation, CRF development, EDC building, and data quality checks.
• Minimum of 2 years in building and optimizing ETL/ELT pipelines for varying data types.
• Minimum of 2 years of experience programming SAS edit checks and SAS macros for clinical trials.
• Experience with data automation, software development, testing, and validation is essential.
• Hands-on experience in database administration, particularly in troubleshooting data issues.
• Familiarity with Power BI, Python, or RShiny is preferred.
• Advanced skills in SQL and experience with relational databases and query authoring are preferred.
• Exposure to AI/ML concepts and experience with model pipelines is advantageous.
• Experience integrating with REST APIs.
• Solid knowledge of processing and retrieving insights from large datasets.

Education Requirements

• A Bachelor's degree is required.
• An advanced degree is preferred.
• Relevant fields include Computer Science, Data Science, Statistics, Informatics, Information Systems, or a related quantitative discipline.

About Us

Eliassen Group is committed to fostering diversity and inclusion within our team. We are an Equal Opportunity and Affirmative Action Employer. All employment decisions are based on merit and aligned with business needs. We do not discriminate based on any protected category.