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SAS Programmer in Clinical Trials

SAS Programmer in Clinical Trials
PSI CRO
Milano
EUR 40.000 - 80.000
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Lavori da Laurea Matematica

SAS Programmer in Clinical Trials

PSI CRO
Milano
EUR 40.000 - 80.000
Descrizione del lavoro

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 3000 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

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 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
  • Minimum 4 years of SAS programming experience in the Clinical/Pharmaceutical domain
  • At least 2 years of experience in the data engineering area 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 Italian
  • Strong analytical and logical thinking
  • Communication and collaboration skills

Nice to have:

  • SAS programming experience with SQL programming
  • SAS programming experience in the Biostatistics Department or Clinical Programming Department
  • 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:

  • 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.

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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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