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 the Process Improvement department.
Hybrid work in Oxford. 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 the 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. 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. 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. We care about our employees - aside from a competitive salary, you'll have a good work-life balance with flexible working hours and additional days off, life and medical insurance, sports card, lunch card. We're constantly growing which means opportunities for personal and professional growth. 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. Seniority level
Associate Employment type
Full-time Job function
Analyst Industries
Pharmaceutical Manufacturing
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Hybrid work in Oxford. 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 the 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. 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. 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. We care about our employees - aside from a competitive salary, you'll have a good work-life balance with flexible working hours and additional days off, life and medical insurance, sports card, lunch card. We're constantly growing which means opportunities for personal and professional growth. 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. Seniority level
Associate Employment type
Full-time Job function
Analyst Industries
Pharmaceutical Manufacturing
#J-18808-Ljbffr
