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- Tasks: You'll program TFLs for clinical reports and collaborate with teams on oncology trials.
- Company: Join a respected sponsor leading innovation in cancer research.
- Benefits: Enjoy a flexible, supportive environment with opportunities for remote work.
- Why this job: Make a real impact in oncology while working on cutting-edge clinical trials.
- Qualifications: 1-3 years of SAS programming experience in clinical trials, preferably oncology.
- Other info: Ideal for ambitious programmers eager to contribute to life-changing research.
The predicted salary is between 36000 - 60000 £ per year.
Planet Pharma are partnered with a leading Pharmaceutical client who is seeking a candidate with a solid background in SAS programming a working knowledge of CDISC standards (SDTM, ADaM, and TLFs).This role extends beyond traditional programming, involving the conceptualization and development of application prototypes, active contribution to the implementation of end-to-end Statistical Computing Environment solutions, and a key role in shaping the evolution of our clients\’ automation frameworks and internal tools.Key Responsibilities: Develop and sustain efficient, SAS-based programming solutions, with the flexibility to incorporate R or Python as needed.Contribute to the automation of CDISC-compliant deliverables, including the creation of SDTM, ADaM datasets, and TLFs.Design, prototype, and deploy custom applications and internal tools to enhance workflow efficiency, scalability, and overall process optimization.Key Requirements: 8+ years of hands-on experience in SAS programming, with a strong track record in clinical data analysis.Demonstrated success in delivering large-scale, complex projects through effective cross-functional collaboration.Practical experience or strong working knowledge of Statistical Computing Environment (SCE) platforms.Skilled in managing conflict constructively and fostering a collaborative, positive team environment.Proven ability to work independently with minimal supervision, while remaining accountable for quality and timelines.Deep expertise in CDISC standards, including both ADaM and SDTM development.Extensive experience in generating high-quality Tables, Listings, and Figures (TLFs) for regulatory submissions and clinical reporting.About Planet Pharma:Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its head-quarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering.Our specialist knowledge and close relationships with our clients and the wider industry really makes us unique in our field. Just recently we were recognised by FORBES as the 17th best professional staffing firm, and have won multiple awards from industry accredited bodies for our commitment to excellence and service delivery. We have extensive functional expertise including: Regulatory Affairs, Pharmacovigilance, QA, QC, Submissions experts, Clinical development, Quality, Biostatistics, and Medical Affairs / Writing.We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.www.planet-pharma.comPlease click ‘apply’ or contact Charlotte Fagan (Recruitment Manager) at Planet Pharma for more information:E: cfagan@planet-pharma.co.ukT: +442070764110
SAS Programmer employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SAS Programmer
✨Tip Number 1
Network with professionals in the oncology clinical trials field. Attend industry conferences or webinars to meet potential colleagues and learn about the latest trends in SAS programming for oncology studies.
✨Tip Number 2
Familiarise yourself with CDISC standards, particularly SDTM and ADaM. Understanding these standards will not only enhance your programming skills but also demonstrate your commitment to regulatory compliance in clinical trials.
✨Tip Number 3
Engage with online communities or forums focused on SAS programming and oncology research. Sharing insights and asking questions can help you stay updated and may even lead to job referrals.
✨Tip Number 4
Consider reaching out directly to current employees at StudySmarter or similar organisations. Informational interviews can provide valuable insights into the company culture and expectations, making you a more informed candidate.
We think you need these skills to ace SAS Programmer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SAS programming experience, especially in clinical trials and oncology. Use specific examples of TFL programming and any relevant projects you've worked on to demonstrate your skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for oncology research and your understanding of the role. Mention how your experience aligns with the job requirements and express your enthusiasm for contributing to life-changing studies.
Highlight Relevant Skills: In your application, emphasise your familiarity with CDISC standards and any experience you have with SAP development or TFL shell creation. This will set you apart from other candidates.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is crucial in the field of clinical programming.
How to prepare for a job interview at LinkedIn
✨Showcase Your SAS Skills
Be prepared to discuss your experience with SAS programming in detail. Highlight specific projects you've worked on, especially those related to oncology trials, and be ready to explain your role in developing TFLs and statistical outputs.
✨Understand Clinical Trial Data Structures
Make sure you have a solid grasp of clinical trial data structures and the types of statistical deliverables expected in oncology studies. This knowledge will demonstrate your expertise and ability to contribute effectively to the team.
✨Familiarise Yourself with CDISC Standards
If you have experience with CDISC standards like SDTM or ADaM, be sure to mention it. Even if you don't, showing an understanding of these standards can set you apart as a candidate who is eager to learn and adapt.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the company's approach to oncology research and the specific challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
