Requirements: English
Company: TN Italy
Region: Milan , Lombardy
Job DescriptionThe position''s title is Clinical Data Scientist, reporting to the Clinical Data Science Manager. You will work with clinical trial patient and operational data, develop new data solutions, and implement Risk-based Monitoring systems within the Process Improvement department.Work LocationHybrid work in MilanResponsibilitiesParticipate in selecting 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 generate data listings, tables, and figures for Clinical Data Reviewers and Central Monitoring Managers.Calculate Key Risk Indicators and Quality Tolerance Limits, using 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 effectively to stakeholders.Contribute to the development of databases, software products, processes, and Quality System Documents for Centralized Monitoring.QualificationsMust have: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 relationship databases, data warehousing, data schemas, data modeling, testing, validation, and analysis.Full professional proficiency in English and Italian.Strong analytical and logical thinking skills.Excellent communication and collaboration skills.Nice to have:SAS programming experience with SQL.Experience in Biostatistics or Clinical Programming Departments.Knowledge of CDISC SDTM.Experience with CluePoints RBM system.Knowledge of statistical methods and techniques for data analysis.Experience with Machine Learning techniques, testing, and validation.Additional InformationWhat we offer:A quick recruitment process of up to 3 meetings.Extensive onboarding and mentorship programs to ensure high-quality work.Excellent working conditions with a spacious, modern office and a friendly team.Permanent employment with a stable, privately owned company.Competitive salary, flexible working hours, additional days off, insurance benefits, sports and lunch cards.Opportunities for personal and professional growth due to company expansion.Please submit your CV in English and take your career to a new level with us.#J-18808-Ljbffr