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Benefits dieser Stelle
Paid hourly wage
Paid company holidays
Professional development opportunities
Access to 24/7 gym
Corporate office amenities such as snacks and coffee truck
Zusammenfassung
A leading biotechnology firm in California is seeking a Summer Intern for their Statistical Science team. This role involves working on Bayesian methodologies in clinical data analysis. Candidates should be PhD candidates in Statistics or related fields, available full-time, and proficient in SAS, R, and Python. The position offers a paid hourly wage ranging from $32 to $50, along with professional development opportunities and access to company amenities. There is a focus on meaningful projects and contributions to the field while gaining industry experience.
Qualifikationen
Must be available to work full-time, 40 hours a week.
Currently enrolled as a full-time student at an accredited U.S. university or graduated within 1 year.
Aufgaben
Work closely with senior members on Bayesian mixed‑effect models.
Explore historical data augmentation for trial settings.
Work on seamless Phase 2/3 design with simulations.
Gain hands‑on experience in innovative statistical methodologies.
Present project achievements to the Statistical Science function.
Kenntnisse
Proficiency in SAS
Proficiency in R
Proficiency in Python
Understanding of Bayesian methods
Mixed-effect modeling knowledge
Strong problem-solving skills
Strong communication skills
Independent and collaborative work ability
Ausbildung
PhD candidate in Statistics, Biostatistics, or related field
Jobbeschreibung
A leading biotechnology firm in California is seeking a Summer Intern for their Statistical Science team. This role involves working on Bayesian methodologies in clinical data analysis. Candidates should be PhD candidates in Statistics or related fields, available full-time, and proficient in SAS, R, and Python. The position offers a paid hourly wage ranging from $32 to $50, along with professional development opportunities and access to company amenities. There is a focus on meaningful projects and contributions to the field while gaining industry experience.
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