Sr Associate Statistical & Mathematical Modelling

Location: Mexico City (Hybrid)

At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you’ll be recognized for your commitment and contributions and see your career like never before. Together, we go above and beyond to make an impact in the lives of our patients and customers. We foster an inclusive culture and are looking for diverse, talented people to join Alcon.

As a Sr Associate Statistical & Mathematical Modelling supporting the Statistical Programming team, is primarily responsible for statistical programming for studies or projects, creating and validating deliverables, and ensuring their quality and efficiency. You will apply scientific principles to solve problems and innovate. Conduct exploratory data analysis and implement statistical methodologies. Improve computational efficiency. Work closely with senior team members to refine modeling techniques and validate model performance.

In this role, a typical day will include:

• Develop and review programming dataset specifications
• Coordinate activities of all programmers assigned to the same study or project
• Conduct kickoff meeting to provide an overview of the study or project, discuss deliverables, roles and responsibilities, timelines, and conventions
• Provide solutions to programming issues and/or ensure efficient implementation.
• Create primary program to generate deliverables in accordance with TFL shells, programming instructions and programming dataset specifications
• Validate deliverables
• Create study, project or global macros
• Contribute to the development and review programming dataset specifications
• Ensure quality, timely and efficient completion of deliverables
• Manage multiple tasks effectively to meet delivery timelines
• Seek solutions to programming issues and escalate as needed
• Establish and maintain working relationships with team members of assigned studies or project-level activities.
• Effectively communicate the status of deliverables and any risks to Trial Programmer and supervisor
• Contribute to development of SP standards and processes, knowledge sharing and other tasks as assigned

WHAT YOU’LL BRING TO ALCON:

• Education: Bachelor’s degree or equivalent experience in mathematics, statistics, computer science, health sciences or related field
• 2 years of relevant programming experience
• Relevant programming experience is in the pharmaceutical or medical device industry
• Advanced level of English
• Strong SAS programming skills including development and use of macros
• Good experience in requirements analysis, resource estimation, planning and tracking deliverables and coordinating activities
• Extensive experience in developing programming dataset specifications
• Good working knowledge of statistical concepts
• Good understanding of regulatory requirements relevant to Statistical Programming (e.g. GCP, ICH) and industry standards such as CDISC

HOW YOU CAN THRIVE AT ALCON:

• Opportunity to join a growing, early-stage organization built within a mature, stable global company.
• Friendly working environment and a diverse and highly motivated team
• Individual career development plan and possible career growth within a newly created account
• Truly international environment and daily interactions with colleagues and stakeholders from all over the world
• Attractive benefits & compensation package
• Flexible hours and remote work possibilities (min 3 days per week office-based)

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Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment and our policies are not to discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.

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Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment and our policies are not to discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.