- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- Previous experience working in the pharmaceutical or healthcare industry.
- 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.
- Prior experience in a clinical trials, healthcare, or pharmaceutical environment is a plus.
- 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.
Preferred Qualifications:
- Knowledge of machine learning techniques for anomaly detection.
- Strong problem-solving skills and the ability to translate data into meaningful business outcomes.
- Excellent communication skills for interacting with cross-functional teams.