Clinical Data Scientist
hace 2 días
.Company Description We are the company that cares – for our staff, for our clients, for our partners and for the quality of the work we do.
A dynamic, global company founded in 1995, we bring together more than 2,700 driven, dedicated and passionate individuals.
We work on the frontline of medical science, changing lives, and bringing new medicines to those who need them.
Job Description Reporting to the Associate Director Risk-Based and Centralized Monitoring, 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 Process Improvement department.Hybrid work in Madrid.
Participate in 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; or relevant work experience and professional qualifications.
At least 3 years of experience in Data Management, Biostatistics, and Centralized Monitoring.
At least 2 years of experience in SAS and at least one of the following: R, Python, Jupyter, SQL, Shiny, Spark and associated packages and libraries.
Full professional proficiency in English and Spanish.
Strong analytical and logical thinking.
Communication and collaboration skills.
Nice to have: Experience with CluePoints RBM system and ELT/ETL processes.
Knowledge of statistical methods, data analysis and Machine Learning techniques.
Experience with database engineering, products testing and validation and Shiny development.
Additional Information What we offer: We value your time so the recruitment process is as quick as 3 meetings.
We'll prepare you to do your job at the highest quality level with our extensive onboarding and mentorship program.
You'll have excellent working conditions - spacious and modern office in a convenient location, and a friendly, supportive team who love to hang out together.
You'll have a permanent work agreement at a stable, privately owned company
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