At a Glance
- Tasks: Lead high-impact statistical strategy across clinical projects and mentor teams.
- Company: AstraZeneca, a global leader in biopharmaceuticals focused on innovative medicines.
- Benefits: Competitive salary, flexible benefits, and generous remuneration package.
- Why this job: Shape the future of medicine with cutting-edge statistical methodologies and impactful projects.
- Qualifications: MSc/PhD in Statistics or Mathematics, strong programming skills in R/SAS.
- Other info: Dynamic work environment with opportunities for professional growth and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Join us as a Statistical Science Associate Director and lead high-impact statistical strategy across our clinical portfolio. You will bring deep pharmaceutical experience to independently shape and deliver statistical work for a project or an indication within a complex program, and be recognised as a methodology expert. In this role, you will direct end-to-end Biometrics activities, driving quality and timelines through in-house teams or in partnership with CROs, ensuring robust, data-driven decisions that advance our medicines.
Key Responsibilities
- Leading the delivery and oversight on multiple studies/indication within a project, potentially as a Global Project Statistician for a standard drug project.
- Contributing to statistical methodological advances.
- Lead the statistical thinking and contributions to the delivery of studies, development plans, regulatory strategy, health technology assessment and/or commercial activities.
- Direct project work, including statistical staff and/or CRO partners, to ensure delivery to standards, quality and time.
- Develop design options and provide high quality decision support to enable the business to make informed decisions about a study or project.
- Quantify the benefit, risk, value and uncertainty of the emerging asset/product profile.
- Investigate and apply novel statistical approaches for relevant statistical issues and/or regulatory guidance and/or value demonstration, including modelling and simulation.
- Mentor/coach and support the education and training of statistics staff.
Accountabilities for Supporting Statistical Methodological Advances
- Ability to consult across project teams within area of expertise.
- Application of expert skills to investigate and apply novel statistical approaches for relevant statistical issues and/or regulatory guidance and/or value demonstration, including modelling and simulation.
- Produce pragmatic solutions, often within a tight time scale where the emphasis will be to deliver first, then refine and develop solutions thereafter.
- Contribute to/or lead the development of a process improvement and/or capability area within the department.
- Establish and improve standards and best practice, apply novel statistical approaches to increase effectiveness and efficiency.
- Interact with external scientists and represent AstraZeneca Biometrics externally via publications and presentations on best practice.
Qualifications
- MSc/PhD in Statistics, Mathematics (containing a substantial statistical component), or recognised equivalent to stats MSc.
- Strong knowledge of programming in R and/or SAS.
- Knowledge of the technical and regulatory requirements related to the role.
- Excellent communication skills and ability to build strong relationships.
- Proven experience of independent research delivering innovative statistical solutions in an applied environment.
Desirables
- Project Management Skills.
- Proficiency in SAS and R/Python languages.
- Knowledge of Bayesian statistics from theory to computation is a plus.
- Track record of research and methodological development in Statistics, supported by scientific publications in first class statistical journals.
AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. We are pioneering new frontiers by identifying and treating patients earlier, working towards the aim of eliminating cancer as a cause of death. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
Competitive salary and benefits package on offer! The successful candidate will have access to a flexible employee benefits fund, including holiday purchase and flexible time off, pension contributions, Share Save Plans, a performance recognition scheme and a competitive, generous remuneration package.
Statistical Science Associate Director in Newtown employer: AstraZeneca UK Limited
Contact Detail:
AstraZeneca UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistical Science Associate Director in Newtown
✨Tip Number 1
Network like a pro! Reach out to your connections in the pharmaceutical industry and let them know you're on the lookout for opportunities. Attend industry events or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your statistical methodologies and recent advancements in the field. Be ready to discuss how you can apply these to real-world projects, especially in clinical settings.
✨Tip Number 3
Don’t just wait for job postings! Reach out directly to companies you admire, like AstraZeneca, and express your interest in contributing to their innovative projects. A proactive approach can set you apart from other candidates.
✨Tip Number 4
Utilise our website to apply for roles that match your skills. We make it easy for you to find positions that align with your expertise in statistical science, so don’t miss out on the chance to join a dynamic team!
We think you need these skills to ace Statistical Science Associate Director in Newtown
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Statistical Science Associate Director role. Highlight your relevant experience in statistical strategy and any leadership roles you've held in clinical projects. We want to see how your background aligns with our needs!
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 expertise can contribute to our mission at AstraZeneca. Be sure to mention specific projects or methodologies you've worked on that relate to the job.
Showcase Your Technical Skills: Don’t forget to highlight your programming skills in R and SAS, as well as any experience with Bayesian statistics. We’re looking for someone who can bring innovative statistical solutions to the table, so make sure we see that in your application!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at AstraZeneca UK Limited
✨Know Your Stats Inside Out
Make sure you brush up on your statistical knowledge, especially in areas like Bayesian statistics and programming in R or SAS. Be ready to discuss how you've applied these skills in real-world scenarios, as this will show your depth of understanding and practical experience.
✨Showcase Your Leadership Skills
As a Statistical Science Associate Director, you'll be leading teams and projects. Prepare examples of how you've successfully managed teams or collaborated with CROs in the past. Highlight your ability to drive quality and timelines while mentoring others in statistical methodologies.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or case studies related to statistical strategy in clinical trials. Practice articulating your thought process clearly and logically, demonstrating how you would approach complex statistical issues and decision-making.
✨Communicate Effectively
Strong communication skills are crucial for this role. Practice explaining complex statistical concepts in simple terms, as you may need to present findings to non-statistical stakeholders. Being able to build relationships and convey your ideas clearly will set you apart.