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Fort Worth, TX

Internship

Onsite

Intern

Alcon is a global eye care company developing surgical and vision care products. The Clinical Data Science Intern will explore synthetic data generation compared with classical statistical resampling using historical clinical data, applying statistical programming, data augmentation, and statistical inference to evaluate clinical-data insights.

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Responsibilities

Generate synthetic patient data using techniques such as generative adversarial networks (GANs) or Bayesian networks
Apply traditional statistical resampling approaches, including bootstrapping, to establish comparison benchmarks
Evaluate whether analyses augmented with synthetic data can replicate key statistical findings from the original real-world clinical dataset
Assess the fidelity, stability, reproducibility, benefits, and limitations of synthetic data compared with classical statistical resampling methods
Develop an implementation framework and application for synthetic data generation and summarize recommendations for potential future use with clinical data

Qualification

Required

Must be enrolled in an accredited university or college for at least one semester prior to internship or co-op, and at least one additional semester following internship or co-op
Must be pursuing a M.S. or PhD in statistics, biostatistics, data science, or a related quantitative discipline
Working knowledge of R or Python programming
Minimum cumulative GPA 2.8/4.0
Demonstrated leadership skills, such as involvement in extracurricular activities, academic projects, research, or related experiences
Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship. Students on an F-1 visa with CPT can be accommodated