Co‑op: QSP, MBMA & AI‑Driven Drug Modeling

Biogen; United States; Remote; USD 83,097,000 - 94,558,000; Full time

Benefits offered by this job

Company paid holidays

Commuter benefits

Employee Resource Groups participation

80 hours of sick time

Job summary

Biogen’s CPP team offers a 6-month student co-op (January–June 2027) in Quantitative Systems Pharmacology with exposure to MBMA and AI/ML-enabled modeling. You will build mechanistic QSP models, apply AI/ML to modeling pipelines, and perform MBMA to inform portfolio decisions.

You will work with preclinical and clinical data, learn industry data handling rules, and contribute to internal presentations and potential publications. Eligibility includes U.S.

Qualifications

• Ph.D. candidates or higher with quantitative/computational modeling experience.
• Experience with QSP, MBMA, and data-driven decision making.
• Programming in R/Python/MATLAB for modeling and data analysis.

Responsibilities

• Develop and refine mechanistic QSP models for drug discovery.
• Explore AI/ML to enhance QSP workflows.
• Perform MBMA to support portfolio strategy.
• Integrate and interpret preclinical/clinical data for models.
• Follow industry modeling rules and document progress for posters/publications.

Skills

QSP

Quantitative modeling

AI/ML in modeling

R

Python

MATLAB

Data analysis

Data integration

Education

Ph.D. candidate or higher

Master's degree or Pharm.D. with modeling experience

Quantitative Systems Pharmacology

Pharmaceutical Sciences

Clinical Pharmacology

Systems Biology

Computational Biology

Biomedical Engineering

Biostatistics

Data Science

Job description

Biogen’s CPP team offers a 6-month student co-op (January–June 2027) in Quantitative Systems Pharmacology with exposure to MBMA and AI/ML-enabled modeling. You will build mechanistic QSP models, apply AI/ML to modeling pipelines, and perform MBMA to inform portfolio decisions.

You will work with preclinical and clinical data, learn industry data handling rules, and contribute to internal presentations and potential publications. Eligibility includes U.S.