SAS Programmer in Clinical Trials

PSI CRO
Oxford
10 months ago
Applications closed

Related Jobs

View all jobs

Product Performance and Data Scientist

Product Performance and Data Scientist

Product Performance and Data Scientist

Product Performance and Data Scientist

Data Scientist - Operational Research

Agronomy Data Scientist, Field Trials & Insights - Hybrid

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

  • 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
  • Minimum 4 years of SAS programming experience in Clinical/Pharmaceutical domain
  • 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
  • Full professional proficiency in English
  • Strong analytical and logical thinking
  • Communication and collaboration skills

Nice to have:

  • SAS programming experience with SQL programming
  • SAS programming experience in 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 technics 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 highest quality level with our extensive onboarding and mentorship program
  • You'll have excellent working conditions - spacious and modern office in convenient location, and friendly, supportive team who love to hang out together 
  • You'll have permanent work agreement at a stable, privately owned company
  • 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 
  • 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.

Please submit your CV in English

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.