[Hiring] Co-op, Clinical Pharmacology & Pharmacometrics @Biogen

Role Description

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.

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.

What You’ll Do:

• 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 ongoing basis.
• Prepare external poster and manuscript publications, when applicable, which is highly possible and encouraged.
• Support additional CPP team tasks as needed.

Qualifications

• 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.

Requirements

• Legal authorization to work in the U.S.
• At least 18 years of age prior to the scheduled start date.
• Currently enrolled in an accredited community college, college, university or skills program/apprenticeship.

Education Requirements

• Ph.D. candidate (3rd year or above) with experience in quantitative, computational, or mechanistic modeling.
• Candidates with a Master’s degree or Pharm.D. and demonstrated modeling, data analysis, or computational biology experience will also be considered.

Preferred majors/program

• Quantitative Systems Pharmacology (QSP)
• Pharmaceutical Sciences
• Clinical Pharmacology / Pharmacokinetics
• Systems Biology or Computational Biology
• Biomedical Engineering
• Biostatistics or Applied Mathematics
• Data Science or related quantitative life science disciplines

Benefits

• Company paid holidays
• Commuter benefits
• Employee Resource Groups participation
• 80 hours of sick time per calendar year

Additional Information

The base compensation range for this role is: $29.00-$33.00. The actual hourly wage offered will consider the candidate’s current academic level and degree candidacy, inclusive of Associate, Bachelor’s, Master’s, JD, MD, PhD and MBA programs. It will comply with state or local minimum wage requirements specific to the job location.