| Data Engineer pharma, Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Gaurav Nain, sibitalent.com [email protected] Reply to: [email protected] Job Title: Data Engineer (Life Sciences/Biotech) Duration: 12+ Month Contract (with probable extension) Location: Remote Interview Process: Pre-qualifying SPARK Assessment, followed by MS Teams conversation Candidates must have pharma experience. Client is an industry-leading technology recruitment and project services firm, driven by data and enabled by global reach. We can connect you to an individual with a specific skill set, manage capacity across a team, or provide in-house expertise to deliver your project. Experis has an immediate need for a DATA ENGINEER to support our LIFE SVIENCES client REMOTE. Additional notes from SME: No-code/Low-code AI experience is a plus Experience with Informatica is a plus Experience with RapidMinder is a plus Experience with Data Visualization (Tableau, PowerBI) Very strong SQL Skills JOB SUMMARY We are seeking a skilled Data Engineer to join our team and contribute to a crucial project aimed at identifying anomalies and issues within clinical trial audit data. This role is essential to ensuring data integrity through comprehensive audit trail reviews, which capture, modify, and delete data using metadata to give scale and meaning to the information. The Data Engineer will play a significant role in maintaining patient safety by ensuring the integrity of clinical trial data. KEY RESPONSIBILITIES Develop algorithms and tools to identify anomalies and issues in audit trail data, enhancing data integrity. Design and implement data pipelines to collect, transform, and load clinical trial audit data. Conduct detailed analyses of metadata to ensure accurate data capture, modification, and deletion processes. Collaborate with cross-functional teams within CT2 team , to ensure alignment with project objectives. Perform regular audit trail reviews to assess data integrity and contribute towards patient safety. Create and maintain documentation related to data engineering processes and audit trail review findings. Contribute to the development of best practices for audit trail reviews in clinical trials. REQUIRED QUALIFICATIONS Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. Proven experience as a Data Engineer, with a focus on anomaly detection and data integrity. Proficiency in programming languages such as Python, SQL, and experience with ETL tools. Strong understanding of metadata analysis and its application in data capture, modification, and deletion. Proven experience with data modeling, AI, and Python. Familiarity with clinical trial processes and regulations is highly desirable. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. PTEFERRED QUALIFICATIONS Knowledge of machine learning techniques for anomaly detection. Previous experience working in the pharmaceutical or healthcare industry. Strong problem-solving skills and the ability to translate data into meaningful business outcomes. Excellent communication skills for interacting with cross-functional teams. Prior experience in a clinical trials, healthcare, or pharmaceutical environment is a plus. Keywords: artificial intelligence microsoft Data Engineer pharma, Remote [email protected] |
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| Wed Oct 23 20:18:00 UTC 2024 |