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- Tasks: Join us as a Senior Statistical Programmer and tackle complex programming challenges in oncology.
- Company: Be part of a global mid-size Pharma known for innovation and quality in key therapeutic areas.
- Benefits: Enjoy a home-based role with a stable team and opportunities for growth.
- Why this job: Make an impact in the oncology field while working with a supportive and experienced team.
- Qualifications: BSc in life sciences or related field, with strong SAS programming and oncology experience required.
- Other info: Submission experience in ISS and ISE analyses is a plus!
The predicted salary is between 48000 - 84000 £ per year.
Statistical Programmer – multiple levels
Home based
#Oncology focused
Our client, a global mid-size Pharma, have extended reputation in key therapeutic indications e.g. oncology, rheumatology, rare diseases, etc. and has supported the development of some of the most successful products. Through their particular focus on innovation and a consistent quality centric approach, they have secured a very stable team which are now growing further due to business needs.
Key Responsibilities
- Review SAPs and TFL shells from a programming perspective
- Advise on the development of complex TFL shells from a programming perspective
- Develop and/or lead the development of complex specifications for #ADaM datasets
- Produce / define XML/PDFs, Analysis Results Metadata (ARM), aCRFs and Reviewers Guides to support SDTMs and ADaMs
You Will Have
- BSc in life sciences, mathematics, statistics or related field.
- Extended #SAS programming experience developed in clinical trials (#CDISC)
- Strong #oncology experience
- Submission experience including #ISS and #ISE analyses strongly desired.
- Excellent communication skills.
Planet Pharma | Senior Statistical Programmer employer: Planet Pharma
Contact Detail:
Planet Pharma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Planet Pharma | Senior Statistical Programmer
✨Tip Number 1
Make sure to highlight your experience with SAS programming and clinical trials in your conversations. This is crucial for a Senior Statistical Programmer role, especially in oncology.
✨Tip Number 2
Familiarize yourself with the latest trends and innovations in oncology research. Being knowledgeable about current developments can set you apart during discussions.
✨Tip Number 3
Prepare to discuss specific examples of how you've contributed to the development of TFL shells or ADaM datasets in previous roles. Concrete examples will demonstrate your expertise.
✨Tip Number 4
Network with professionals in the pharmaceutical industry, particularly those focused on oncology. Building connections can provide valuable insights and potentially lead to referrals.
We think you need these skills to ace Planet Pharma | Senior Statistical Programmer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Statistical Programmer position. Understand the key responsibilities and required qualifications, especially the emphasis on oncology experience and SAS programming.
Tailor Your CV: Customize your CV to highlight relevant experience in statistical programming, particularly in clinical trials and oncology. Include specific examples of your work with ADaM datasets and any submission experience you have.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in life sciences, mathematics, or statistics to the requirements of the role. Emphasize your communication skills and how they will benefit the team.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, as attention to detail is crucial in this field.
How to prepare for a job interview at Planet Pharma
✨Showcase Your SAS Expertise
Make sure to highlight your extensive SAS programming experience during the interview. Be prepared to discuss specific projects where you utilized SAS in clinical trials, especially in relation to CDISC standards.
✨Demonstrate Oncology Knowledge
Since the role is oncology-focused, it's crucial to demonstrate your understanding of oncology-related statistical programming. Prepare examples of how you've contributed to oncology studies and be ready to discuss relevant challenges and solutions.
✨Prepare for Technical Questions
Expect technical questions related to TFL shells and ADaM datasets. Brush up on your knowledge of these areas and be ready to explain your approach to developing complex specifications and reviewing SAPs.
✨Communicate Clearly
Excellent communication skills are essential for this role. Practice articulating your thoughts clearly and concisely, especially when discussing complex statistical concepts or your previous work experiences.
