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Job Description
Actual position's title: Clinical Data Scientist
Reporting to the Clinical Data Science Manager, the Clinical Data Scientist is an integral part of our team here at PSI. You will work with clinical trials patient and operational data, develop new data solutions, and set up Risk-based Monitoring systems in the Process Improvement department.
- Participate in the selection of the Risk-Based Monitoring (RBM) system and provide relevant training to the project team and/or Sponsor.
- Set up and maintain RBM systems, collaborating with the Central Monitoring Manager.
- Manage complex datasets from multiple sources, including data extraction, transformation, and loading into PSI data platform.
- Program and produce 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 cross-functionally to identify study challenges and develop data solutions using advanced analytics.
- Communicate data findings and solutions to stakeholders effectively.
- Contribute to the development of databases, software products, processes, and Quality System Documents for Centralized Monitoring.
Qualifications
Must have:
- Degree in Data Science, Mathematics, Statistics, Computer Science, or equivalent.
- Minimum 4 years of SAS programming experience in the Clinical/Pharmaceutical domain.
- At least 2 years of experience in data engineering, including one or more of the following: relationship databases, data warehousing, data schemas, data stores, data modeling, testing, validation, and analysis.
- Full professional proficiency in English and Spanish.
- Strong analytical and logical thinking skills.
- Excellent communication and collaboration skills.
Nice to have:
- SAS programming experience with SQL programming.
- SAS programming experience in Biostatistics or Clinical Programming Departments.
- Knowledge of CDISC SDTM.
- Experience with CluePoints RBM system.
- Knowledge of statistical methods and techniques for analyzing data.
- Experience using Machine Learning techniques and products testing and validation.
Additional Information
What we offer:
- A quick recruitment process, often completed in 3 meetings.
- Extensive onboarding and mentorship programs to ensure high-quality job performance.
- Excellent working conditions — spacious, modern office in a convenient location, with a friendly, supportive team.
- Permanent work agreement at a stable, privately owned company.
- Competitive salary, good work-life balance with flexible hours and additional days off, life and medical insurance, sports card, and lunch card.
- Opportunities for personal and professional growth as the company continues to expand.
Make the right call and take your career to a new level. Join a company that values its people and invests in their professional development and success.