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- Tasks: Lead statistical programming projects and ensure high-quality deliverables for regulatory submissions.
- Company: Astellas is a progressive health partner focused on innovative science and patient-centric development.
- Benefits: Enjoy a hybrid working model with minimal office days and a commitment to equal opportunity employment.
- Why this job: Join a dynamic team in a new Data Science hub, making a real impact on patient outcomes.
- Qualifications: Requires experience in drug development, programming, and a degree in Statistics or related field.
- Other info: This is a permanent, full-time role based in the UK.
The predicted salary is between 43200 - 72000 £ per year.
About Astellas: We are a progressive health partner, delivering value and outcomes where needed. We focus on innovative science, especially in areas of high potential and unmet patient needs, including rare and life-threatening diseases. We collaborate directly with patients, healthcare professionals, and regulatory bodies to ensure patient-centric development and access to therapies. Our vision emphasizes understanding the patient experience to guide our efforts.
The Opportunity: Join our new UK Data Science hub as a Statistical Programming Lead within our Data Science/Statistical & RWD division. Lead programming vendor oversight, contribute to infrastructure projects, and mentor team members. Drive strategic objectives and ensure high-quality deliverables for regulatory submissions.
Key Activities:
- Produce high-quality, timely statistical programming deliverables, ensuring readiness for regulatory submissions.
- Lead internal programming teams and liaise with external vendors for outsourced work.
- Oversee outsourced programming work, acting as a liaison with vendors.
- Identify and address issues affecting deliverable validity or completeness.
- Contribute to process improvements, SOP writing, software implementation, and standard creation.
Essential Knowledge & Experience:
- Senior/principal programmer experience in drug development within pharma, including vendor collaboration.
- Extensive relevant programming experience in the pharmaceutical industry.
- Understanding of data science lifecycle, ETL, data quality, and machine learning.
- Proven ability to develop and deliver statistical analysis and reporting, including SDTM/ADAMs, TLFs.
- Knowledge of clinical data standards (CDISC) and submission guidelines.
- Ability to analyze and communicate complex data effectively.
Education/Qualifications:
- Bachelor’s or Master’s in Statistics, Mathematics, or related field.
Additional Information: This is a permanent, full-time position based in the UK. We offer a hybrid working model with one day per quarter in the office (Addlestone). We are committed to equal opportunity employment.
Statistical Programming Lead employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistical Programming Lead
✨Tip Number 1
Familiarise yourself with the latest trends in statistical programming and data science, especially within the pharmaceutical industry. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the pharmaceutical and data science sectors. Attend relevant conferences or webinars, and connect with people on platforms like LinkedIn. Building relationships can lead to valuable insights and potential referrals for the Statistical Programming Lead position.
✨Tip Number 3
Prepare to discuss your experience with vendor collaboration and project management. Be ready to share specific examples of how you've successfully led teams or projects, as this role requires strong leadership and oversight skills.
✨Tip Number 4
Brush up on your knowledge of clinical data standards, particularly CDISC guidelines. Being able to articulate your understanding of these standards during discussions will set you apart as a candidate who is well-prepared for the responsibilities of the role.
We think you need these skills to ace Statistical Programming Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in statistical programming and drug development. Emphasise your senior/principal programmer roles and any vendor collaboration you've been involved in.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the data science lifecycle and your ability to deliver high-quality statistical analysis. Mention specific projects or achievements that align with the key activities of the role.
Highlight Relevant Skills: In your application, clearly outline your programming skills, particularly in SDTM/ADAMs and TLFs. Include any experience with clinical data standards (CDISC) and submission guidelines, as these are crucial for the role.
Showcase Leadership Experience: Since the role involves leading teams and mentoring, be sure to include examples of your leadership experience. Discuss how you've contributed to process improvements or managed vendor relationships in previous positions.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Expertise
As a Statistical Programming Lead, it's crucial to demonstrate your extensive programming experience in the pharmaceutical industry. Be prepared to discuss specific projects where you've applied your knowledge of SDTM/ADAMs and TLFs, as well as your understanding of data science lifecycle and machine learning.
✨Highlight Leadership Skills
Since this role involves leading internal programming teams and liaising with external vendors, emphasise your leadership experience. Share examples of how you've mentored team members or managed vendor relationships to ensure high-quality deliverables.
✨Prepare for Regulatory Discussions
Given the focus on regulatory submissions, be ready to discuss your experience with clinical data standards and submission guidelines. Familiarise yourself with the latest regulations and be prepared to explain how you ensure compliance in your work.
✨Demonstrate Problem-Solving Abilities
The ability to identify and address issues affecting deliverable validity is key. Prepare to share specific instances where you've successfully resolved challenges in programming or data quality, showcasing your analytical skills and attention to detail.
