Intern, Statistical Science

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

Job Summary

The BioMarin Summer Internship Program will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, while gaining an insight into the pharmaceutical/biotech industry. Over the course of 10 - 12 weeks our interns gain industry experience while working alongside our talented team on meaningful projects.

Responsibilities

• Work closely with senior members of the Statistical Science function on research and application of Bayesian mixed‑effect models for clinical data.
• Explore approaches for historical data augmentation in trial settings.
• Work on seamless Phase 2/3 design including sample size re‑estimation and alpha adjustment, and run simulations to assess statistical operating characteristics of a seamless design.
• Gain hands‑on experience in innovative statistical methodologies applied to real clinical study design and data analysis.
• Present project achievements to the Statistical Science function at the end of the summer.

Required Skills

• Proficiency in SAS, and/or R, and/or Python.
• Solid understanding of Bayesian methods and mixed‑effect modeling.
• Knowledge of historical data augmentation and adaptive or seamless trial design (sample size re‑estimation, alpha adjustment).
• Strong ability to conduct methodological research and strong problem‑solving skills.
• Strong communication skills and ability to work independently and collaboratively.

Desired Skills

• Strong knowledge of Bayesian methods, mixed‑effect models, and adaptive design.
• Familiarity with sample size re‑estimation and alpha adjustment preferred.

Qualifications / Eligibility

• PhD candidate in Statistics, Biostatistics, or related field.
• Must be available to work full‑time, 40 hours a week.
• Must be currently enrolled as a full‑time student at an accredited U.S. based university or college and enrolled in the fall term after the completion of the internship OR have graduated within 1 year of the start of the program.

Benefits

• Paid hourly wage ($32 to $50 per hour) and paid company holidays and sick time.
• Apply skills and knowledge learned in the classroom to on‑the‑job experiences.
• Comprehensive, value‑added project(s).
• Develop skills specific to your major.
• Opportunities for professional development by building relationships and learning about other parts of the business.
• Participate in company all‑hands meetings and monthly community lunches.
• Corporate office amenities such as: 24/7 on‑site gym, coffee truck, snacks.
• Access to Employee Resource Groups.

Equal Opportunity Employer

In the U.S., the salary range for this position is $32 to $50 per hour, which factors in various geographic regions. The base pay offered will take into account internal equity and may vary depending on the candidate's geographic region, job‑related knowledge, skills, and experience among other factors.

Equal Opportunity Employer/Veterans/Disabled. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.