Director of Statistical Innovation & AI for Clinical Data

Alcon

Fort Worth (TX)

Hybrid

USD 180,000 - 320,000

Full time

8 days ago

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Benefits offered by this job

Health benefits
Retirement plan
Flexible time off
Relocation assistance
Sponsorship

Job summary

Alcon is seeking a Director of Statistical Innovation and Data Science to provide strategic leadership at the intersection of statistics, data science, ML and AI for evidence generation. The role is on-site in Fort Worth, Texas or remote in the US, and involves leading model development, validation, and collaboration across clinical, regulatory and data teams.

Qualifications include an MSc/PhD in Statistics or Biostatistics, deep expertise in statistical inference, and proficiency in R/Python

Qualifications

  • Advanced degree (MSc or PhD) in Statistics or Biostatistics preferred.
  • Applied expertise in data science, ML and/or deep learning with clinical/biomedical data.
  • Proficiency in R and/or Python and reproducible analytical workflows.
  • Experience in regulated environments and supporting regulatory submissions.

Responsibilities

  • Provide senior quantitative leadership for clinical development and evidence generation.
  • Develop and apply advanced statistical and ML models for high-dimensional data.
  • Lead data science and ML methods for prediction, classification, and patient stratification.
  • Communicate complex quantitative concepts to technical and nontechnical audiences and collaborate across functions.

Skills

Statistical modeling
Data science
Machine learning
Deep learning
Biostatistics
R/Python
Leadership

Education

MSc/PhD in Statistics or Biostatistics

Tools

R
Python

Job description

Alcon is seeking a Director of Statistical Innovation and Data Science to provide strategic leadership at the intersection of statistics, data science, ML and AI for evidence generation. The role is on-site in Fort Worth, Texas or remote in the US, and involves leading model development, validation, and collaboration across clinical, regulatory and data teams.

Qualifications include an MSc/PhD in Statistics or Biostatistics, deep expertise in statistical inference, and proficiency in R/Python

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