Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and validate SDTM datasets while collaborating on exciting healthcare projects.
- Company: Join Oracle Life Sciences, a leader in global healthcare consulting.
- Benefits: Enjoy competitive salary, flexible working, and comprehensive health benefits.
- Other info: Be part of an inclusive culture that values diversity and personal growth.
- Why this job: Make a real impact in life sciences with innovative data management solutions.
- Qualifications: 5+ years of SAS programming experience and knowledge of CDISC standards required.
The predicted salary is between 60000 - 80000 £ per year.
Oracle Life Sciences is a leading global healthcare consulting firm and trusted advisor to many of the world’s top pharmaceutical, biotech, and medical device companies.
Responsibilities include:
- Develop and validate SDTM and sponsor‑specific SAS datasets.
- Build and maintain programs, macros, and tools; standardize data management programming procedures.
- Program and validate status reports and listings for internal and external use.
- Coordinate processing and administration of external data (e.g., lab and 3rd‑party data).
- Design and test study‑specific validation, including eCRF/UAT; collaborate with Statistics and Data Management.
- Contribute to the creation of the Data Management Plan, Data Validation Plan, and Data Management Report specifications; maintain complete study documentation and QC, track programming budget and timelines within projects.
- Work on multiple project requests simultaneously.
Required Experience:
- Minimum 5 years of experience with SAS programming with international clinical trials and/or NIS, within a CRO environment preferred.
- Advanced knowledge of CDISC standards.
- Knowledge of SQL and R.
What we will offer you:
- A competitive salary with exciting benefits.
- Learning and development opportunities to advance your career.
- An Employee Assistance Program to support your well‑being.
- Flexible and hybrid working so you can do your best work.
- Employee resource groups that champion our diverse communities.
- Core benefits such as life insurance, and access to retirement planning.
- An inclusive culture that celebrates what makes you unique.
Qualifications Required Skills:
- Conducting Research
- Data Analysis
- Research Analysis
- SAS Analytics
- Programming Languages SQL
Equal Employment Opportunity:
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Senior Data Management Programmer/SDTM Specialist, Life Sciences employer: Ll Oefentherapie
Contact Detail:
Ll Oefentherapie Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Management Programmer/SDTM Specialist, Life Sciences
✨Tip Number 1
Network like a pro! Reach out to professionals in the life sciences field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions related to SAS programming and data management. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio of your work, including any projects or tools you've developed. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Management Programmer/SDTM Specialist, Life Sciences
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Management Programmer role. Highlight your experience with SAS programming and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data management in life sciences and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t forget to mention your knowledge of CDISC standards, SQL, and R in your application. We love seeing candidates who can demonstrate their technical prowess, so be specific about your experience and achievements.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Ll Oefentherapie
✨Know Your SAS Inside Out
Make sure you brush up on your SAS programming skills before the interview. Be prepared to discuss specific projects where you've used SAS, especially in relation to SDTM and clinical trials. Highlight any advanced techniques or macros you've developed.
✨Familiarise Yourself with CDISC Standards
Since the role requires advanced knowledge of CDISC standards, take some time to review these guidelines. Be ready to explain how you've applied them in past projects and how they impact data management processes.
✨Showcase Your Team Collaboration Skills
This position involves working closely with various teams, so be prepared to share examples of how you've successfully collaborated with statisticians and data managers. Discuss any challenges you faced and how you overcame them together.
✨Prepare for Technical Questions
Expect technical questions related to SQL and R, as well as data validation processes. Brush up on your knowledge and be ready to solve problems on the spot. Practising common scenarios can help you feel more confident.