
10,000+ employees
🏥 Healthcare
💼 Consulting
🏭 Manufacturing
Healthcare • Consulting • Manufacturing
Alcon is a leading company in the field of eye care, committed to innovating life-changing vision products. Their mission is to help people see brilliantly, enhancing their quality of life. Alcon recently introduced the PRECISION7® contact lens, a revolutionary one-week replacement lens designed to provide clear vision and comfort. With a strong emphasis on research and development, Alcon is dedicated to advancing eye health globally.
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10,000+ employees
🏥 Healthcare
💼 Consulting
🏭 Manufacturing
Healthcare • Consulting • Manufacturing
Alcon is a leading company in the field of eye care, committed to innovating life-changing vision products. Their mission is to help people see brilliantly, enhancing their quality of life. Alcon recently introduced the PRECISION7® contact lens, a revolutionary one-week replacement lens designed to provide clear vision and comfort. With a strong emphasis on research and development, Alcon is dedicated to advancing eye health globally.
• Provide senior quantitative leadership for clinical development and evidence generation • Apply statistical principles to study design, analysis, interpretation, and development decisions • Develop and apply advanced statistical models, including linear and nonlinear, generalized linear, mixed-effects, hierarchical, longitudinal, survival, Bayesian, causal-inference, and simulation models • Characterize treatment response, disease progression, heterogeneity, prediction, prognosis, benefit-risk, and relationships across clinical, imaging, digital, patient-reported, and real-world data • Lead data science and machine-learning applications for prediction, classification, clustering, patient stratification, signal identification, and high-dimensional data analysis • Develop and evaluate deep-learning approaches for ophthalmic imaging and multimodal data • Compare classical statistical, ML, and deep-learning approaches based on scientific objectives and regulatory considerations • Establish model-development and validation practices covering training, tuning, calibration, robustness, reproducibility, bias, interpretability, uncertainty, and performance monitoring • Evaluate emerging approaches, including generative AI, and translate prototypes into reusable analytical capabilities with human oversight and governance • Partner across Statistics, Clinical Development, Regulatory, Data Management, Digital, Quality, and Technology • Collaborate with programmers, data scientists, ML engineers, and data engineers • Communicate quantitative concepts and model limitations to technical and nontechnical audiences • Represent Alcon in scientific, regulatory, and external collaborations • Mentor and develop quantitative scientists • Strengthen organizational capability in statistical modeling, data science, ML, deep learning, reproducible research, and responsible AI • Contribute to the long-term strategy, operating model, and scientific direction of the Statistics organization
• Bachelor’s Degree or equivalent years of directly related experience • Alternative qualification pathways: high school +18 years, Associate degree +14 years, M.S. +7 years, or PhD +6 years • 10 years of relevant experience • 6 years of demonstrated leadership • Fluent ability to read, write, understand, and communicate in English • Advanced degree (MSc or PhD) in Statistics or Biostatistics preferred; PhD in closely related quantitative disciplines may be considered • Deep expertise in statistical inference and modeling, including linear and nonlinear modeling and other advanced statistical methods • Applied expertise in data science, machine learning, and/or deep learning, preferably with clinical, biomedical, imaging, digital-health, or other high-dimensional data • Proficiency in R and/or Python • Experience with reproducible, version-controlled analytical workflows and modern statistical/ML computing environments • Ability to determine when classical statistical models, ML, deep learning, or hybrid approaches are appropriate • Experience supporting clinical development, regulatory submissions or interactions, and scientific publications • Knowledge of model validation, data integrity, and evolving expectations for AI/ML in regulated environments
• Focused growth and development opportunities • Health insurance • Life insurance • Retirement benefits • Flexible time off • Relocation assistance • Visa sponsorship • Travel up to 10%
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