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- Tasks: Provide analytical support and develop outputs from real-world data for impactful studies.
- Company: Join Tech Observer, a leader in innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a difference in healthcare by transforming real-world data into actionable insights.
- Qualifications: Experience in statistical programming, preferably with SAS, and strong analytical skills.
The predicted salary is between 50000 - 70000 £ per year.
Tech Observer is hiring Senior Statistical Programmers (FSP) in UK.
Core Job Responsibilities:
- Provide analytical and programming support to the RWD (Real World) team.
- Develop Tables, Listings, and Figures (TFLs) directly from raw datasets.
- Perform QC (Quality Control) of outputs and ensure accuracy of deliverables.
- Support end-to-end delivery of RWD (Real World Data) study outputs.
Technical Responsibilities:
- Work with SAS Studio for programming and analysis tasks.
- Troubleshoot and manage intermittent system/tool issues during development.
- Adapt to working without fully pre-defined specifications and build outputs independently.
Collaboration & Communication:
- Coordinate with cross-functional team members.
- Maintain responsiveness within agreed working hours.
- Support team queries and provide timely updates to stakeholders.
Availability & Delivery Management:
- Ensure timely turnaround of requests, especially during overlapping UK working hours.
- Adjust schedule when required to align with project/team needs.
Senior Statistical Programmer-RWD in Leeds employer: Tech Observer
Contact Detail:
Tech Observer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Statistical Programmer-RWD in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Tech Observer. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! When you get the chance for an interview, be ready to discuss your experience with SAS Studio and how you've tackled programming challenges. Real-world examples will make you stand out.
✨Tip Number 3
Be proactive! If you see a role that fits, don’t wait around. Apply through our website and follow up with a quick email to express your enthusiasm. It shows you're keen and keeps you on their radar.
✨Tip Number 4
Stay flexible! The job description mentions adapting to changing needs, so be prepared to discuss how you've managed shifting priorities in past roles. This will show you're a great fit for their dynamic team.
We think you need these skills to ace Senior Statistical Programmer-RWD in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SAS Studio and any relevant programming skills. We want to see how your background aligns with the Senior Statistical Programmer role, so don’t be shy about showcasing your analytical prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about RWD and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, mention specific instances where you’ve troubleshot issues or adapted to changing requirements. We value independence and creativity, so let us know how you’ve tackled challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Tech Observer
✨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 Studio, and think about how you tackled any challenges you faced while programming or analysing data.
✨Showcase Your QC Experience
Quality Control is crucial in this role, so be ready to share examples of how you've ensured accuracy in your previous work. Discuss any tools or methods you used for QC and how they contributed to the success of your projects.
✨Demonstrate Your Problem-Solving Skills
Since troubleshooting is part of the job, come prepared with examples of how you've managed system or tool issues in the past. Highlight your ability to adapt and find solutions independently, especially when working without fully pre-defined specifications.
✨Emphasise Collaboration and Communication
This role involves coordinating with cross-functional teams, so be ready to talk about your experience working collaboratively. Share how you maintain responsiveness and keep stakeholders updated, especially during busy periods or overlapping working hours.