Intern, Statistical Science

Initial Therapeutics, Inc.; Kansas; Hybrid; USD 44,083 - 68,880; Full time

Benefits offered by this job

Paid hourly wage

Paid company holidays

Sick time

Access to on-site gym

Access to Employee Resource Groups

Job summary

A leading biopharmaceutical company is offering a paid internship in the Statistical Science function. The role involves working closely on Bayesian mixed effect models, exploring historical data augmentation methods, and participating in the design of clinical trials. Ideal candidates are PhD candidates in relevant fields and must be available full-time. This internship provides valuable experience and opportunities for professional development, along with corporate amenities and events.

Qualifications

• Must be available to work full-time, 40 hours a week.
• Must be currently enrolled as a full-time student or have graduated within 1 year.

Responsibilities

• Work with senior members on Bayesian mixed effect models for clinical data.
• Explore approaches for historical data augmentation.
• Assist in seamless Phase 2/3 design including simulation assessments.

Skills

Proficiency in SAS

Proficiency in R

Proficiency in Python

Solid understanding of Bayesian methods

Knowledge of historical data augmentation

Strong communication skills

Problem-solving skills

Education

PhD candidate in Statistics, Biostatistics, or related field

Job description

Project

Internship 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, run simulation to assess statistical operating characteristics of a seamless design.
• Have opportunities to 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‑effects modelling.
• 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 of a BioMarin Internship

• Paid hourly wage, 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, monthly community lunches.
• Corporate office amenities such as 24/7 on‑site gym, coffee truck, snacks.
• Access to Employee Resource Groups.

Note: This description is not intended to be all‑inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned.

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.

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 actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job‑related knowledge, skills, and experience among other factors.