Clinical Data & Bayesian Statistics Intern

BioMarin Pharmaceutical Inc.; San Rafael (CA); On-site; USD 44,083 - 68,880; Full time

Benefits offered by this job

Paid hourly wage

Paid company holidays

Professional development opportunities

Access to 24/7 gym

Corporate office amenities such as snacks and coffee truck

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

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

Education

PhD candidate in Statistics, Biostatistics, or related field

Job description

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.