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.
Based in Warsaw
Project / program assignments
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 in collaboration with Central Monitoring Manager
Establish data extract, load and transformation process for a study. Manage large complex datasets (including unstructured data) coming from multiple data sources.
Map, mine and classify raw data and pull processed data 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. Apply advanced analytical technics to identify data trends and patterns for Centralized Monitoring
Collaborate with Central Monitoring Manger and cross-functionally to identify study challenges, develop an action plan and data solutions to address those using advanced analytics technics.
Provide outputs actionable for project team
Communicate and explain data findings and solutions to cross-functional stakeholders
Corporate / departmental assignments
Participate in development and programming of databases and software products for Centralized Monitoring
Participate in development of processes, Quality System Documents (QSDs) and internal instructions for Centralized Monitoring
A degree in a Data Science, Mathematics, Statistics, Computer Science or equivalent or Data Science related work experience and professional qualifications
At least 3-year experience or equivalent in Data Management, Biostatistics, and Centralized Monitoring
At least 2-year experience with one or more of the following : R, Shiny, Python, Jupyter, SAS, SQL, Spark and associated packages and libraries (advanced knowledge of R-packages, RStudio, SAS and Excel is an advantage)
At least 2-year experience in data management area including one or more of the following : relationship databases, data warehousing, data schemas, data stores, data modeling, testing, validation and analysis
Knowledge of ELT / ETL process is a plus
Experience with databases engineering and development is a plus
Knowledge of statistical methods and techniques for analyzing data is a plus
Experience with using Machine Learning technics is a plus
Experience with Shiny development is a plus
Experience with products testing and validation is a plus
Strong analytical and logical thinking, focus on results
Communication and collaboration skills
Ability to work both independently and collaboratively within a team
English skills (Advanced)
Make the right call and take your career to a whole new level. Join the company that focuses on its people and invests in their professional development and success.