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- 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 hybrid work, flexible hours, competitive salary, and great perks like life insurance and sports cards.
- Why this job: Be part of a supportive team that values your growth and offers exciting challenges in data analytics.
- Qualifications: Degree in Data Science or related field with 4 years of SAS programming experience required.
- Other info: Quick recruitment process with extensive onboarding and mentorship to help you succeed.
The predicted salary is between 36000 - 60000 £ 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.
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.
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 techniques and products testing and validation.
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 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.
Contact Detail:
PSI CRO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SAS Programmer in Clinical Trials
✨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, as this is crucial for the role.
We think you need these skills to ace SAS Programmer in Clinical Trials
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 connects your background to the role of Clinical Data Scientist. Discuss your passion for medical science and how your analytical skills can contribute to the company's mission.
Highlight Relevant Experience: In your application, focus on your experience with Risk-Based Monitoring systems and any advanced analytical techniques you've used. Provide examples of how you've managed complex datasets and collaborated cross-functionally.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that your English is professional and clear, as strong communication skills are essential for this role.
How to prepare for a job interview at PSI CRO
✨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. Be ready to discuss how you would approach selecting and implementing an RBM system, as well as any relevant training you could provide to team members.
✨Communicate Data Findings Clearly
Effective communication is key in this role. Prepare examples of how you've communicated complex data findings to stakeholders in the past. This will show your ability to collaborate cross-functionally and convey important information clearly.
✨Demonstrate Analytical Thinking
Be ready to showcase your analytical and logical thinking skills. You might be asked to solve a problem or analyse a dataset during the interview, so practice explaining your thought process and the techniques you would use to identify trends and insights.
