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Job Description
Position Title : Clinical Data Scientist
Reporting to the Clinical Data Science Manager, the Clinical Data Scientist is a key member of our team at PSI. You will work with clinical trial patient and operational data, develop innovative data solutions, and establish Risk-based Monitoring systems within the Process Improvement department.
- Participate in selecting the Risk-Based Monitoring (RBM) system and provide relevant training to project teams and / or sponsors.
- Set up and maintain RBM systems in collaboration with the Central Monitoring Manager.
- Manage complex datasets from multiple sources, including data extraction, transformation, and loading into PSI's data platform.
- Program and generate data listings, tables, and figures for Clinical Data Reviewers and Central Monitoring Managers.
- Calculate Key Risk Indicators and Quality Tolerance Limits, applying advanced analytical techniques to identify data trends for centralized monitoring.
- Collaborate across functions to identify study challenges and develop data-driven solutions using advanced analytics.
- Communicate data findings and solutions effectively to stakeholders.
- Contribute to the development of databases, software products, processes, and Quality System Documents for centralized monitoring.
Qualifications
Must have :
- A degree in Data Science, Mathematics, Statistics, Computer Science, or equivalent.
- At least 4 years of SAS programming experience in the clinical / pharmaceutical domain.
- Minimum 2 years of experience in data engineering, including working with relational databases, data warehousing, data schemas, data modeling, testing, validation, and analysis.
- Full professional proficiency in English and Spanish.
- Strong analytical and logical thinking skills.
- Excellent communication and collaboration abilities.
Nice to have :
- SAS programming experience with SQL.
- Experience in Biostatistics or Clinical Programming departments.
- Knowledge of CDISC SDTM standards.
- Experience with CluePoints RBM system.
- Knowledge of statistical methods for data analysis.
- Experience with machine learning techniques and product testing / validation.
Additional Information
What we offer :
- A quick recruitment process, typically within 3 meetings.
- Extensive onboarding and mentorship to ensure high-quality work.
- Modern, spacious office in a convenient location, with a friendly and supportive team.
- Permanent employment with a stable, privately owned company.
- Competitive salary, flexible working hours, additional days off, and benefits such as life and medical insurance, sports and lunch cards.
- Opportunities for personal and professional growth as we continue to expand.
Make the right move and elevate your career. Join a company that values its people and invests in their development and success.
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