Associate Statistical Programmer

4 weeks ago

Bengaluru, Karnataka, India Elanco Full time

At Elanco, we're driven by our vision of 'Food and Companionship Enriching Life'

We're a global leader in animal health, dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets.

Our approach to sustainability – the Elanco Healthy Purpose – aims to advance the health of animals, people, the planet, and our enterprise.

We pride ourselves on fostering a diverse and inclusive work environment, where diversity is the driving force behind innovation, creativity, and business success.

As a Statistical Programmer, you'll be part of a dynamic team that values and champions new ways of thinking, working with individuals who are passionate about making animals' lives better.

Key Responsibilities:

  • Develop custom programming code using SAS or other software to generate tables, data listings, graphs, and derived datasets as specified in the protocol/statistical analysis plan.
  • Ensure that outputs meet quality standards and project requirements.
  • Perform validation programming and collaborate with other team members to resolve discrepancies or findings.
  • Communicate programming progress and issues to project team members.
  • Follow applicable SOPs and relevant regulatory guidelines.
  • Manage scheduling and time constraints across multiple projects, set goals based on priorities, and adapt to timeline or priority changes.
  • Prepare for internal meetings, contribute ideas, and demonstrate respect for others' opinions.
  • Display willingness to work with others and assist with projects and initiatives as necessary.
  • Negotiate time estimates for completion of study programming activities with internal team members and management.
  • Assist in drafting regulatory submissions.
  • Effectively utilize current technologies and available tools for conducting analyses.
  • Ensure scientific integrity and animal welfare in all activities.
  • Interact with global statisticians and implement recommendations locally.
  • Create and maintain standard macros and applications to improve department efficiency.
  • Participate in process/quality improvement initiatives, standardization, and other non-clinical initiatives.
  • Develop knowledge of SAS and other relevant programming languages and processes within the GO, Biostatistics, and Medical arenas.

Engage in knowledge share activities and contribute to the growth and development of the team.

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