Advanced Statistical Programmer Lead
7 days ago
Elanco, a global leader in animal health, is driven by innovation and committed to delivering products and services that prevent and treat disease in farm animals and pets. Our vision of 'Food and Companionship Enriching Life' and our approach to sustainability – the Elanco Healthy Purpose – aim to advance the health of animals, people, the planet and our enterprise.
We foster a diverse and inclusive work environment where diversity is the driving force behind innovation, creativity, and overall business success. As an Advanced Statistical Programmer Lead, you'll be part of a company that values and champions new ways of thinking, working with dynamic individuals, and acquiring new skills and experiences that will propel your career to new heights.
Making animals' lives better makes life better. We offer a competitive salary range of $80,000 - $120,000 per year, depending on experience and location. This role requires strong programming skills, particularly in SAS, as well as effective communication and teamwork abilities.
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 outputs meet quality standards and project requirements by performing validation programming and collaborating with Programmers, Biostatisticians, and other project team members to resolve discrepancies or findings.
- Keep project team members informed of programming progress and issues requiring their attention while managing scheduling and time constraints across multiple projects at a time.
- Negotiate and establish accurate time estimates for completion of study programming activities with internal team members and statistical programming management.
- Assist in drafting regulatory submissions and effectively utilize current technologies and available tools for conducting analyses.
- Proactively participate in and/or lead process/quality improvement initiatives, standardization and other non-clinical initiatives, and engage in knowledge share activities.
This role requires a proactive approach to staying up-to-date with industry trends and advancements, with opportunities to develop wider knowledge of SAS and other relevant programming languages and processes within the GO, Biostatistics and Medical arenas.
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