Sarepta Therapeutics · 1 day ago

Biostatistics Intern

United States

Internship

Remote

Intern

$21/hr - $25/hr

Start in 2025 Spring

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BiotechnologyGenetics

Growth Opportunities

No H1B

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Responsibilities

The intern will be responsible for developing understanding of the company’s data on key efficacy measurements, perform analysis of repeated measures data and time to event data.

The intern will perform statistical simulations in SAS, R, Python to assess different statistical methods/models and their performance.

Perform ad-hoc and exploratory statistical analyses as needed.

Support and contribute to the preparation of publications, including manuscripts, posters, and oral presentations.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SASRPythonStatistical methodsMachine learningArtificial intelligenceCausal inferenceGeneralized linear mixed modelsSurvival analysis

Required

MS or equivalent in statistics, biostatistics or related field, preferably a PhD candidate

Proficiency in statistical methods, including generalized linear mixed models, survival analysis.

Ability to handle large data in SAS and R and perform statistical simulations

Excellent communication and presentation skills, including the ability to effectively communicate statistical and data science concepts in a clear and concise manner to non-technical audience.

Good organizational skills, sufficient to multi-task in a fast-paced environment with changing priorities.

Team player, with ability to collaborate successfully across functions.

Candidates must be legally allowed and available to work full-time for up to 12 weeks in the summer of 2025

Candidates must be authorized to work in the U.S.

Preferred

Knowledge and hands-on experience with causal inference, machine learning, artificial intelligence (e.g., General Adversarial Networks, Transformers, Bayesian Networks), survival analysis, propensity score methods, external control comparison, Bayesian methods desirable