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Specialist Programmer (Senior or Associate Director)

Местоположение Миссиссога, Онтарио, Канада Идентификатор вакансии R-202504 Дата публикации 06/15/2024

At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe.

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 and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.

Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention.

The Clinical Data & Insights Team is a global team of highly experienced and skilled professionals passionate about delivering state of the art services and solutions within R&D. AI has the potential to transform every step of the R&D pipeline. The mission of our team is to transform the way R&D uses data, analytics and AI to streamline processes and mitigate risks while building operational efficiencies. To achieve this, we partner with business functions within R&D to deliver ground breaking capabilities and solutions that enable them to accelerate medicines that are safe and effective for patients.

The Specialist Programmer, Senior or Associate Director builds, supports and implements SAS solutions for different therapeutic areas. This role involves developing SAS code as well as providing the nvitaltools and resources for business partners. You will be in charge of packaging, maintaining and scaling solutions and code bases with the latest technologies. A successful candidate will have a record of high-quality delivery and be able to work independently with little supervision. They will also collaborate well with others, lead parts of projects and handle risk and expectations in new situations. They will have good communication skills and be comfortable working as part of agile sprint and delivery teams.


Technical Leadership:

  • Provide technical leadership in the aspects of statistical programming and SAS.
  • In depth knowledge of regulatory requirements, industry standards, and industry best practices for data standards development and implementation
  • Collaborate with cross-functional teams to define and execute the solution roadmap.
  • Stay updated on the latest developments in relevant technologies to ensure our team remains at the forefront of the industry.
  • Identify opportunities for innovation and solution optimization.

Team Management:

  • Coach and mentor team members in a matrix organization. Lead, inspire and be a key part of team development and retention.
  • Foster a culture of innovation, collaboration, and continuous learning within the team.
  • Set clear goals, supervise progress, and provide regular feedback to team members.

Quality, Security and Compliance:

  • Implement and enforce security protocols and best practices to protect sensitive data.
  • Ensure compliance with data privacy regulations and industry standards (e.g., GDPR (General Data Protection Regulation), HIPAA (Health Insurance Portability and Accountability).
  • Implement rigorous testing and quality assurance processes to maintain high product quality.

Documentation and Training:

  • Be a champion for high standards to ensure best practices are developed in the team.
  • Build and maintain documentation related to tools, processes
  • Provide training and support to development teams on platform usage and optimization.

Candidate Knowledge, Skills and Experience

  • Bachelor's Degree from an accredited college or university with a major in Computer Science, Information Systems, Engineering, Mathematics, or equivalent experience in a related scientific or technical discipline.
  • Experience crafting SDTM/ADaM specification and datasets.
  • Expertise in SAS programming including SAS/Base, SAS/Lifetest, SAS/Macro, SAS/Graph, SAS/SQL, SAS/ODS, SAS/STAT, SAS/Connect and SAS Access.
  • Experience in data analysis, statistical analysis, and generating tables, listing, figures, and reports using SAS tools.
  • Proficiency in understanding statistical programming environments, processes, procedures, and roles.
  • Strong project management and time management skills.
  • Excellent communication and interpersonal abilities to engage with customers and internal stakeholders.
  • Creative, collaborative, & product focused.

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 commits 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.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

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