Clinical Data Science Intern

About the role

Alcon is seeking a motivated Clinical Data Science Intern to join a 10–12‑week summer internship focused on synthetic data generation and statistical resampling using historical clinical data.

Key responsibilities

• Generate synthetic patient data using methods such as generative adversarial networks (GANs) or Bayesian networks.
• Apply traditional statistical resampling approaches, including bootstrapping, to create benchmark comparisons.
• Evaluate whether analyses augmented with synthetic data can replicate key statistical findings from the original dataset.
• Assess the fidelity, stability, reproducibility, benefits, and limitations of synthetic data versus classical resampling methods.
• Develop an implementation framework and summarize recommendations for future use with clinical data.

Required profile

• Enrolled in an accredited university for at least one semester prior to the internship and one semester after.
• Pursuing an M.S. or PhD in statistics, biostatistics, data science, or a related quantitative discipline.
• Minimum cumulative GPA of 2.8/4.0.
• Demonstrated leadership through extracurricular activities, academic projects, or research.
• Authorized to work in the U.S. permanently (F‑1 visa with CPT accepted).
• Available for a full‑time, 40‑hour‑per‑week internship lasting 10–12 weeks.

Required skills

• Working knowledge of R programming.
• Working knowledge of Python programming.