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- Tasks: Lead statistical programming for clinical trials and ensure data quality for submissions.
- Company: Join IQVIA, a global leader in clinical research and healthcare intelligence.
- Benefits: Enjoy remote work, great work/life balance, and career advancement opportunities.
- Why this job: Make a real impact on healthcare while collaborating with industry leaders.
- Qualifications: 5+ years in statistical programming with SAS; strong problem-solving skills required.
- Other info: Dynamic team environment with diverse projects across various therapeutic areas.
The predicted salary is between 36000 - 60000 £ per year.
This role will be dedicated to one of IQVIA’s largest clients through a Functional Service Provider (FSP) type partnership. This means you get all the benefits of working for an industry leading global CRO while operating within a sponsor environment and utilizing sponsor systems. These sponsor clients include world class pharmaceutical and biotech companies offering you a unique opportunity to work on a team where your role is both challenging and rewarding, while working alongside colleagues who are passionate about influencing the future of medicine and advancing therapies. With IQVIA's FSP business unit, you become a core part of a dynamic team dedicated to reshaping the future of healthcare.
Additional Benefits:
- Home-based remote work opportunities
- Great work/life balance
- Collaborate on projects and innovations with industry leaders in the Pharma and CRO sectors
- Cohesive team environment fostering a collaborative approach to study work
- Variety of therapeutic areas, indications and study phases
- Job stability; long-term engagements and development opportunities
- Career advancement opportunities
Job Description:
The Senior Statistical Programmer will be responsible for review datasets in submission ready standard format (ADaM), tables, figures, listings and submission packages. This individual will provide expertise in the design, development and quality control process for SAS programs used to access, extract, transform, review, analyze and submit clinical data for all requested analyses.
Main Responsibilities and Accountabilities:
- Collaborates with the study teams to design data structure and specifications for ad hoc and study deliverables including, but not limited to ADaM datasets, Tables, Figures, Listings and Analysis Submission content.
- Collaborates with study teams to ensure the quality and accuracy – thus submission readiness – of clinical data as required by authorities (i.e. SDTM, ADaM, tables, figures, listings, define.xml).
- Leads and oversees requested efforts for pooled and exploratory analyses working closely with Statistics TA lead and/or study statisticians as well as with clinical programming team and their collection of legacy data.
- Leads and oversees the in-house specification and delivery of ISS and ISE datasets and associated output (tables, figures and listings) when not provided by CRO.
- Leads and oversees the design and implementation of complex SAS programs for applications designed to analyze and report complex clinical trial data in CDISC ADaM format.
- Leads and oversees the development of global tools that will increase the efficiency and capacity of the Statistical Programming group.
- Works closely with clinical study teams to plan and execute activities to ensure project timelines are met with high quality deliverables.
Additional tasks:
- Collaborates with CR&D staff regarding data analysis requests.
- Performs additional statistical analyses including but not limited to: support responses to regulatory agencies, generate integrated summary of safety and efficacy, support publications and presentations, support planning and reporting of clinical trials via exploratory analyses of available data.
Position Qualifications and Experience Requirements:
Education: BSc in Computer Science, Mathematics, Statistics or related area with relevant experience.
Experience: At least 5+ years of experience in either clinical programming and/or statistical programming, within the CRO/pharmaceutical environment using SAS Software. In-depth understanding of clinical programming and/or statistical programming processes and standards. In-depth understanding of regulatory requirements relevant to statistical programming (e.g. GCP, ICH). Extensive experience with statistical programming using the SAS software including development and use of SAS Macros. Strong programming and problem-solving skills. Advanced knowledge in CDISC standards (CDASH, SDTM, ADaM). Proven experience in leading programming activities for pooled and exploratory analyses across multiple clinical studies and submission activities (or equivalent). Proven ability to work effectively both independently or in a team setting, and to meet set goals by managing own timelines. Experience in working in cross-functional, multicultural and international clinical trial teams.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.
Senior Statistical Programmer (FSP - Permanent Homebased) in London employer: IQVIA
Contact Detail:
IQVIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Statistical Programmer (FSP - Permanent Homebased) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at IQVIA or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your SAS programming skills and understanding CDISC standards. Be ready to discuss your past projects and how you’ve tackled challenges in statistical programming.
✨Tip Number 3
Show your passion for the role! When you get the chance to speak with hiring managers, express your enthusiasm for influencing the future of medicine and how your skills align with their mission.
✨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, it shows you’re serious about joining the team at IQVIA.
We think you need these skills to ace Senior Statistical Programmer (FSP - Permanent Homebased) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Statistical Programmer role. Highlight your experience with SAS software and any relevant projects you've worked on in the CRO or pharmaceutical environment. 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 this role and how your background makes you a perfect fit. Don’t forget to mention your understanding of regulatory requirements and CDISC standards, as these are key for us.
Showcase Your Team Spirit: We love collaboration at StudySmarter! In your application, share examples of how you've worked effectively in cross-functional teams. Highlight any leadership roles you've taken on, especially in programming activities for clinical studies.
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. Plus, it gives you a chance to explore more about our company culture and values.
How to prepare for a job interview at IQVIA
✨Know Your SAS Inside Out
As a Senior Statistical Programmer, you'll need to showcase your expertise in SAS programming. Brush up on your skills, especially with SAS Macros and CDISC standards like ADaM. Be ready to discuss specific projects where you've used these skills to solve complex problems.
✨Understand the Regulatory Landscape
Familiarise yourself with GCP and ICH guidelines, as well as the regulatory requirements relevant to statistical programming. During the interview, demonstrate your understanding of how these regulations impact your work and the importance of submission-ready datasets.
✨Collaborate and Communicate
Highlight your experience working in cross-functional teams. Prepare examples of how you've collaborated with study teams to ensure data quality and accuracy. Show that you can effectively communicate complex statistical concepts to non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles and how you overcame them. This could include leading programming activities for pooled analyses or developing global tools to enhance efficiency. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
