Lead Statistical Programmer — Hybrid, Flexible Hours

Alcon MX; Ciudad de México; Híbrido; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible hours

Remote work possibilities (min 3 days/

Descripción de la vacante

Alcon is seeking a Principal Statistical Programmer in Mexico City (Hybrid) to lead programming activities for the Analytics & Intelligence team. You will ensure quality, timely, and cost-efficient statistical programming for assigned studies, serving as a key contact for Trial Statisticians and applying scientific principles for problem-solving.

Responsibilities include coordinating programmer teams, developing dataset specifications, and communicating status and risks to stakeholders.

Formación

• Bachelor’s degree in a quantitative field (Math, Statistics, engineering).
• Advanced level of English.
• 8–10 years in a similar statistical programming role.
• 2–3 years leading studies in statistical programming.

Responsabilidades

• Develop and review programming dataset specifications.
• Coordinate activities of programmers on the same study or project.
• Provide solutions to programming issues and ensure efficient implementation.
• Build and maintain cross-functional relationships with teams.
• Communicate deliverables status, changes to plan, risks, and mitigations.
• Contribute to development of programming standards and processes.
• Adhere to GxP, SOPs, and maintain documentation.

Conocimientos

SAS programming

Macros in SAS

CDISC SDTM/ADaM

Regulatory knowledge (GCP/ICH)

English communication

Leadership of studies

Problem-solving

Cross-functional collaboration

Educación

Bachelor’s degree (Math, Statistics, engineering)

Herramientas

SAS

Descripción del empleo

Alcon is seeking a Principal Statistical Programmer in Mexico City (Hybrid) to lead programming activities for the Analytics & Intelligence team. You will ensure quality, timely, and cost-efficient statistical programming for assigned studies, serving as a key contact for Trial Statisticians and applying scientific principles for problem-solving.

Responsibilities include coordinating programmer teams, developing dataset specifications, and communicating status and risks to stakeholders.