SAS Programmer in Clinical Trials in Oxford

SAS Programmer in Clinical Trials in Oxford

Oxford Full-Time 36000 - 60000 Β£ / year (est.) No working from home possible
Psi CRO Ag

At a Glance

  • Tasks: Join our team as a Clinical Data Scientist, working on clinical trials and data solutions.
  • Company: We're a global leader in medical science, dedicated to improving lives since 1995.
  • Benefits: Enjoy flexible hours, competitive salary, and excellent work-life balance with perks like insurance and sports cards.
  • Other info: Quick recruitment process with extensive onboarding and mentorship to kickstart your career.
  • Why this job: Be part of a supportive culture that values your growth and makes a real impact in healthcare.
  • Qualifications: Degree in Data Science or related field; 4 years SAS programming experience required.

The predicted salary is between 36000 - 60000 Β£ per year.

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 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 data engineering, 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
  • Excellent communication and collaboration skills

Nice to have:

  • SAS programming experience with SQL programming
  • SAS programming experience in Biostatistics 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
  • Extensive onboarding and mentorship programs to prepare you for your role
  • Excellent working conditions – spacious, modern office in a convenient location, with a friendly, supportive team
  • Permanent work agreement at a stable, privately owned company
  • Competitive salary, good work-life balance with flexible hours, additional days off, life and medical insurance, sports card, lunch card
  • Opportunities for personal and professional growth as we continue to expand

Make the right call and take your career to a whole new level. Join a company that focuses on its people and invests in their professional development and success.

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SAS Programmer in Clinical Trials in Oxford employer: Psi CRO Ag

At PSI, we pride ourselves on being an exceptional employer, offering a supportive and dynamic work environment where our staff can thrive. With a focus on personal and professional growth, we provide extensive onboarding, flexible working hours, and a competitive salary, all within a modern office setting that fosters collaboration and innovation. Join us in making a meaningful impact in the field of medical science while enjoying a healthy work-life balance and comprehensive benefits.

Psi CRO Ag

Contact Details:

Psi CRO Ag Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land SAS Programmer in Clinical Trials in Oxford

✨Tip Number 1

Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SAS programming and SQL. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.

✨Tip Number 2

Network with professionals in the clinical trials and data science fields. Attend relevant conferences or webinars, and connect with current employees at PSI on platforms like LinkedIn to gain insights into the company culture and expectations.

✨Tip Number 3

Prepare to discuss your experience with Risk-Based Monitoring systems and how you've applied advanced analytical techniques in previous roles. Be ready to provide examples of how you've identified data trends and solved complex problems.

✨Tip Number 4

Showcase your communication and collaboration skills during interviews. Be prepared to discuss how you've worked cross-functionally in the past and how you effectively communicated data findings to stakeholders.

We think you need these skills to ace SAS Programmer in Clinical Trials in Oxford

SAS Programming
Data Engineering
Data Extraction and Transformation
Data Warehousing
Data Modeling
Statistical Analysis
Risk-Based Monitoring (RBM) Systems

Some tips for your application 🫑

Tailor Your CV:Make sure your CV highlights your relevant experience in SAS programming and data engineering. Emphasise your skills in clinical trials and any specific tools or methodologies mentioned in the job description.

Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for data science and clinical trials. Mention specific projects or experiences that align with the responsibilities of the Clinical Data Scientist role, and express your enthusiasm for contributing to the company's mission.

Highlight Relevant Skills:In your application, clearly outline your proficiency in SAS programming, data analysis, and any experience with Risk-Based Monitoring systems. Use examples to demonstrate your analytical thinking and problem-solving abilities.

Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in the field of data science.

How to prepare for a job interview at Psi CRO Ag

✨Showcase Your SAS Expertise

Make sure to highlight your SAS programming experience, especially in the clinical or pharmaceutical domain. Be prepared to discuss specific projects where you applied your skills, as this will demonstrate your capability and relevance to the role.

✨Understand Risk-Based Monitoring

Familiarise yourself with Risk-Based Monitoring (RBM) systems and their importance in clinical trials. Being able to discuss how you would contribute to the selection and implementation of an RBM system will show your proactive approach and understanding of the role.

✨Communicate Data Solutions Clearly

Since effective communication is key, practice explaining complex data findings in a simple manner. Use examples from your past experiences to illustrate how you've successfully communicated with stakeholders and resolved study challenges.

✨Demonstrate Analytical Thinking

Prepare to showcase your analytical and logical thinking skills. You might be asked to solve a problem or analyse a dataset during the interview, so brush up on your analytical techniques and be ready to think on your feet.