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SAS Programmer in Clinical Trials

PSI CRO

Oxford

Hybrid

GBP 45,000 - 75,000

Full time

30+ days ago

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Job summary

Join a dynamic global company that prioritizes its staff and clients. As a Clinical Data Scientist, you'll play a crucial role in managing clinical trial data and developing innovative data solutions. With a focus on Risk-Based Monitoring, you'll collaborate with a passionate team to enhance data integrity and drive impactful insights. This role offers a blend of analytical challenges and opportunities for professional growth in a supportive environment. Enjoy a competitive salary, flexible working hours, and a commitment to work-life balance, making it an ideal place to advance your career in medical science.

Benefits

Flexible Working Hours
Life and Medical Insurance
Sports Card
Lunch Card
Onboarding and Mentorship Program
Good Work-Life Balance

Qualifications

  • Minimum 4 years of SAS programming experience in Clinical/Pharmaceutical domain.
  • At least 2 years of experience in data engineering including databases and data modeling.

Responsibilities

  • Manage complex datasets and set up Risk-Based Monitoring systems.
  • Collaborate cross-functionally to develop data solutions using advanced analytics.

Skills

SAS Programming
Data Engineering
Analytical Thinking
Communication Skills
Collaboration Skills

Education

Degree in Data Science
Degree in Mathematics
Degree in Statistics
Degree in Computer Science

Tools

SQL
CluePoints RBM System
Machine Learning Techniques

Job description

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 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 Process Improvement department.

Hybrid work in Oxford

  1. Participate in selection of the Risk-Based Monitoring (RBM) system and provide relevant training to the project team and/or Sponsor
  2. Set up and maintain RBM systems, collaborating with the Central Monitoring Manager
  3. Manage complex datasets from multiple sources, including data extraction, transformation, and loading into PSI data platform
  4. Program and produce data listings, tables, and figures for Clinical Data Reviewers and Central Monitoring Managers
  5. Calculate Key Risk Indicators and Quality Tolerance Limits, applying advanced analytical techniques to identify data trends for Centralized Monitoring
  6. Collaborate cross-functionally to identify study challenges and develop data solutions using advanced analytics
  7. Communicate data findings and solutions to stakeholders effectively
  8. Contribute to the development of databases, software products, processes, and Quality System Documents for Centralized Monitoring

Qualifications

Must have:

  1. Degree in Data Science, Mathematics, Statistics, Computer Science or equivalent
  2. Minimum 4 years of SAS programming experience in Clinical/Pharmaceutical domain
  3. At least 2 years of experience in data engineering area including one or more of the following: relationship databases, data warehousing, data schemas, data stores, data modeling, testing, validation and analysis
  4. Full professional proficiency in English
  5. Strong analytical and logical thinking
  6. Communication and collaboration skills

Nice to have:

  1. SAS programming experience with SQL programming
  2. SAS programming experience in Biostatistics Department or Clinical Programming Department
  3. Knowledge of CDISC SDTM
  4. Experience with CluePoints RBM system
  5. Knowledge of statistical methods and techniques for analyzing data
  6. Experience using Machine Learning techniques and products testing and validation

Additional Information

What we offer:

  1. We value your time so the recruitment process is as quick as 3 meetings
  2. We'll prepare you to do your job at highest quality level with our extensive onboarding and mentorship program
  3. You'll have excellent working conditions - spacious and modern office in convenient location, and friendly, supportive team who love to hang out together
  4. You'll have permanent work agreement at a stable, privately owned company
  5. We care about our employees - aside from competitive salary, you'll have good work-life balance with flexible working hours and additional days off, life and medical insurance, sports card, lunch card
  6. 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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