Co-op, Clinical Pharmacology & Pharmacometrics

This application is for a 6-month student role from January - June 2027. Resume review begins in October 2026.

The Clinical Pharmacology & Pharmacometrics (CPP) team leverages pharmacology, quantitative modeling, and simulation to support data-driven drug development decisions. CPP generates insights into how drugs interact with the body and helps optimize dosing strategies from early research through regulatory approval and lifecycle management.

At Biogen, CPP works in a highly collaborative and flexible environment that supports a diverse portfolio of therapeutic programs. Team members partner closely with colleagues across Research, Clinical Development, Regulatory, and other functions to inform development strategy and optimize patient outcomes. While Clinical Pharmacology scientists often focus on translational and project strategy and Pharmacometrics scientists specialize in quantitative modeling, team members frequently work across disciplines to meet program needs.

This Co-op role sits within the Pharmacometrics team and offers a unique opportunity to work at the intersection of quantitative systems pharmacology (QSP), artificial intelligence, and model-based meta-analysis (MBMA) in the autoimmune therapeutic area. The co-op will contribute to the development of mechanistic QSP models, explore the use of AI/machine learning tools to enhance and accelerate QSP modeling workflows, and perform MBMA to generate quantitative evidence that informs drug-development decisions.

This role provides hands-on exposure to cutting-edge modeling approaches in industry drug development, with direct impact on portfolio strategy.

• Contribute to the development and refinement of mechanistic Quantitative Systems Pharmacology (QSP) models to support drug discovery and development programs.

• Explore and evaluate artificial intelligence (AI) and machine learning approaches to enhance and accelerate QSP modeling workflows.

• Perform Model-Based Meta-Analyses (MBMA) to generate quantitative evidence that informs portfolio strategy and drug development decisions.

• Analyze, integrate, and interpret preclinical and clinical data to support model development and decision-making.

• Learn and implement the industry-standard data handling and modeling rules.

• Prepare internal presentations based on the progress of work on an on-going basis.

• Prepare external poster and manuscript publications, when applicable, which is highly possible and encouraged.

• Support additional CPP team tasks as needed.

• Strong interest in Quantitative Systems Pharmacology (QSP), mechanistic modeling, and model-informed drug development

• Experience developing or applying mathematical, computational, or systems biology models to address complex biological questions

• Interest in applying AI/ML methods to enhance modeling workflows, data integration, and scientific decision-making

• Proficiency in R, Python, MATLAB, or similar scientific computing tools

• Experience analyzing and interpreting biological, preclinical, clinical, omics, or literature-derived datasets

• Familiarity with meta-analysis, model-based analysis, evidence synthesis, or related quantitative methods

• Strong quantitative reasoning, scientific problem-solving, and critical thinking skills

• Demonstrated ability to independently learn and apply new computational, analytical, and modeling techniques

• Strong written and verbal communication skills, with the ability to present complex scientific concepts clearly

• Ability to work effectively in a collaborative, multidisciplinary research environment

• Legal authorization to work in the U.S.

• At least 18 years of age…