Co-op, Clinical Pharmacology & Pharmacometrics

Biogen, Inc.; United States; Remote; USD 40,000 - 45,000; Full time

Benefits offered by this job

Company paid holidays

Commuter benefits

Employee Resource Groups participation

80 hours of sick time per calendar año

Job summary

Biogen, Inc. seeks a motivated student for a 6‑month co‑op in the Clinical Pharmacology & Pharmacometrics (CPP) team from January to June 2027. The role focuses on quantitative systems pharmacology, model‑based meta‑analysis, and applying AI/ML to QSP workflows within an autoimmune program.

You will work on mechanistic modeling, data integration, and contribute to portfolio decisions, with opportunities to publish and present findings in a collaborative environment.

Qualifications

• Legal authorization to work in the U.S. is required.
• Ph.D. candidate (3rd year or above) with modeling experience.
• Master’s degree or Pharm.D. with modeling or data analysis experience will be considered.
• Experience applying mathematical or computational models to biological questions.
• Interest in AI/ML for modeling workflows and data integration.
• Strong written and verbal communication skills.

Responsibilities

• Contribute to development of mechanistic QSP models for drug discovery and development.
• Explore AI/ML approaches to enhance QSP modeling workflows.
• Perform MBMA to inform portfolio strategy and decisions.
• Analyze and interpret preclinical and clinical data to support modeling.
• Learn and apply industry data handling and modeling rules.
• Prepare internal progress updates and external posters/publications when applicable.

Skills

R

Python

MATLAB

Strong communication

Quantitative reasoning

Education

Ph.D. candidate (3rd year+)

Master's or Pharm.D. considered

Tools

R

Python

MATLAB

Job description

About the Role: This application is for a 6-month student role from January - June 2027. Resume review begins in October 2026. The Clinical Pharmacology & Pharmacornetrics (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.

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

Who You Are:

• 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.

Eligibility & Education 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.
• 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 / Programs:

• 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

Job Level:

Internship

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.

In addition to compensation, Biogen offers a range of benefits designed to support our educational employees, including, but not limited to:

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

Why Biogen?

We are a global team with a commitment to excellence, and a pioneering spirit. As a mid‑sized biotechnology company, we provide the stability and resources of a well‑established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life‑changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives. At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about Biogen.

All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law.

Biogen is an E‑Verify Employer in the United States.