Zum Hauptinhalt wechseln
Suchen

Associate Director, Statistical Programming - Late R&I

Ort Mississauga, Ontario, Kanada Anzeigen-ID R-210722 Veröffentlichungsdatum 13/12/2024

WHY JOIN US?
AstraZeneca is a global, BioPharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies.

At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients, and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth, and development. We’re on an exciting journey to pioneer the future of healthcare.

Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.

We work on some of the most complex and interesting challenges. A fast-paced and agile team, we are empowered and trusted to innovate and experiment. With access to our extensive capabilities and comprehensive pipeline, you’ll be involved in countless submissions and a wide range of engaging projects along the complete drug development process.

Do you have expertise in, and passion for, SAS Programming? Would you like to apply your skills to impact all phases of drug development and regulatory interactions, in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the one for you!

Our Late R&I Biometrics team is dedicated to the development of innovative treatment of Respiratory and Immunology (R&I) diseases. You will join a global, diverse and cross-functional environment where you will get personal and professional development.

Main Duties and Responsibilities

In this role, we will give you the chance to utilize your statistical programming expertise in analysis and reporting of clinical trials and exploratory analyses to manage and generate evidence to support our product portfolio.

What You'll Do

  • Lead Statistical programming deliverables for regulatory submissions, including specification and delivery of datasets, outputs and response to regulatory questions; commercialisation and reimbursements

  • Lead delivery of the Clinical Study Report (CSR), Study Data Tabulation Model (SDTM)/Analysis Data Model (ADaM) databases and Tables, Figures and Listings (TFL) outputs through both internal and external delivery models, following applicable data standards and regulations

  • Lead Statistical programming contribution to Development Safety Update Reports (DSUR), Periodic Benefit-Risk Evaluation Report (PBRER), Investigators brochures (IB)

  • Contribute to or lead the statistical programming thinking, analysis and reporting to relevant groups in product and study teams

  • Lead development of standard methodology to improve quality, efficiency and effectiveness

  • Drives standards development, implementation, and measure compliance to them

  • Provides inputs to capacity management while supporting recruitment and skill development by providing training and mentorship

  • Employ good project management practices (estimation, risk management, status tracking) when planning and leading delivery

  • Hold CRO/Partners accountable for the high-quality standards of their deliverables.

Essential Requirements

You are focused on solving challenging problems through collaboration and partnerships. You are a specialist in your field, or aspire to be a specialist, and you know that the best results are achieved by utilising the strengths of every individual.

  • Degree in Mathematics (i.e., Applied Math, Engineering, etc.), Computer Science, Statistics, Life Sciences or similar area

  • Extensive experience in clinical drug development or healthcare

  • Advanced SAS Programming, CDISC standards knowledge and industry best practices

  • Excellent interpersonal skills

Desirable for the Role

  • Experience working in the Respiratory or Immunology therapeutic area

  • Other programming languages e.g. S-PLUS, R, Python, XML etc.

  • Extensive knowledge of Pinnacle21 Validator

SO, WHAT’S NEXT?

To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them.

Great People want to Work with us! Find out why:

Are you interested in working at AZ, apply today!

AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com.

#LI-Hybrid



50056672 E CDPR

Mitglied in unserer Talentgemeinde werden

Melden Sie sich an, um als erste(r) die Job-Updates zu erhalten.

InteressensschwerpunkteErfassen Sie die ersten Buchstaben einer Kategorie, und treffen Sie dann eine Auswahl aus den Vorschlägen. Erfassen Sie die ersten Buchstaben eines Ortes, und treffen Sie dann eine Auswahl aus den Vorschlägen. Klicken Sie danach auf „Hinzufügen“, um Ihre Benachrichtigung zu erstellen.

Glassdoor logo Rated four stars on Glassdoor

Großartige Kultur, großartige Arbeitsaufgaben, unterstützendes Management. Rotationsmöglichkeit innerhalb des Unternehmens. Sie schätzen Integration und Vielfalt.