At a Glance
- Tasks: Lead programming efforts in clinical drug development and manage data submissions.
- Company: Global pharmaceutical brand expanding its programming and statistical teams.
- Benefits: Fully remote work, competitive contract rates, and opportunities for professional growth.
- Other info: Oncology experience is essential; dynamic role with significant career advancement potential.
- Why this job: Make a real impact in healthcare by working on innovative drug development projects.
- Qualifications: BSc in relevant field and advanced SAS programming skills required.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a global pharmaceutical brand who are expanding their programming and statistical teams. They are currently looking for principal or senior level programmers who will be engaged on inital 12 month contracts on a fully remote basis.Programming is the department that oversees and delivers the programming aspects of clinical drug development, manages and maintains the end-to-end standards and manages and maintains the Analysis and Reporting production tools and the information infrastructure.Key requirements include:Collaborate with the Programming Leader to lead and/or support aspects of the programming effort to deliver technical programming and information components of a project, including but not limited to the following:- Data submission strategy (e.g., managing legacy data, pooling data)- Oncology experience essential, preferably study lead experience- Responses to regulatory agency queries- Tables Figures and Listings (TFLs)- Development Safety Update Reports (DSURs)- Periodic Benefit-Risk Evaluation Reports (PBRERs)- Office of Scientific Investigations (OSI) data sets and listings- Regulatory and/or Payer submission related analysis data sets and/or TFLs- Associated quality and process documentation as per applicable business processes- Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) data sets- Pharmacokinetics/pharmacodynamics data preparation and analysis- Manipulating and analyzing adjudicated data- Data preparation and analysis for Global Medical Affairs work- Clinical Trial Transparency deliverables (data de-identification, results posting files)- Timely upload of documents to eTMFEssential experience/skills:• BSc in mathematics, statistics, engineering, computer science, or life or social sciences.• Advanced SAS programming knowledge and experience.• Knowledge of database set-up and report publishing requirements.• Advanced knowledge of technical and regulatory requirements related to the role.• Knowledge of CDISC standards (e.g., CDASH, SDTM, ADaM) and industry best practices.• Advanced knowledge and experience of clinical drug development or healthcare.
Principal/Senior Statistical Programmer (Contract) employer: LinkedIn
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StudySmarter Expert Advice 🤫
We think this is how you could land Principal/Senior Statistical Programmer (Contract)
✨Tip Number 1
Network like a pro! Reach out to your connections in the pharmaceutical industry, especially those who work in programming or clinical trials. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your experience with SAS programming and any oncology projects you've worked on. This will give you an edge during interviews and show that you're ready to hit the ground running.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data submission strategies and regulatory requirements. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a better chance of getting noticed. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Principal/Senior Statistical Programmer (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in programming and statistical analysis, especially in oncology. We want to see how your skills align with the key requirements mentioned in the job description.
Showcase Relevant Experience: When writing your application, emphasise any previous roles where you’ve led programming efforts or dealt with regulatory submissions. We love seeing concrete examples of your work that relate directly to the role.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points for easy reading and make sure to include all relevant technical skills, especially your SAS programming expertise. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at LinkedIn
✨Know Your Stuff
Make sure you brush up on your SAS programming skills and understand the key concepts of clinical drug development. Familiarise yourself with CDISC standards and be ready to discuss how you've applied these in your previous roles.
✨Show Your Oncology Experience
Since oncology experience is essential for this role, prepare specific examples from your past work that highlight your expertise in this area. Be ready to discuss any study lead experiences and how you managed data submissions or regulatory queries.
✨Prepare for Technical Questions
Expect technical questions related to data preparation, analysis, and reporting. Brush up on your knowledge of TFLs, DSURs, and PBRERs, and be prepared to explain your approach to handling complex datasets.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their programming standards, team dynamics, or upcoming projects in oncology to demonstrate your enthusiasm and engagement.