Senior Specialist Programmer

1 week ago

Mississauga, Canada AstraZeneca GmbH Full time

Job Title: Senior Specialist Programmer

Career Level - D

Job Description

Company

AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're proud to have a unique workplace culture that inspires innovation and collaboration. Here, employees are empowered to express diverse perspectives and are made to feel valued, energized and rewarded for their ideas and creativity.

Department – Clinical Data & Insights

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. Through recent advancements in technology, we are now collecting a large amount of data, and have the opportunity to harness that data for analytics and insight that will help deliver a new generation of medicines that are capable of addressing the world’s most challenging unmet medical needs. 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 cutting-edge capabilities and solutions that enable them to accelerate medicines that are safe and effective for patients.

Role

The Specialist Programmer will focus on developing software solutions using SAS to derive new insights, unlock predictive power, and automate data manipulation. In this role, you’ll own the technical delivery and implementation of SAS solutions within Clinical Data & Insights. You will work closely with a community of data experts driving team cohesion, engagement, morale and sharing of best practices. Competitive candidates will have a proven track record of delivering applications bringing excellent technical oversight and development of the best coding practices for the team.

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.
  • Lead, inspire and be a key part of team development and retention.
  • Coach and mentor team members in a matrix organization.

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, HIPAA).
  • 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.
  • Create and maintain documentation related to tools, processes, and best practices.
  • 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 creating 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.
  • Experience with Python, R, Groovy Scripting, SnapLogic, SharePoint, Power Automate, PowerBI a plus.
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