Biogen Posted September 25, 2026

Co-op, Clinical Pharmacology & Pharmacometrics

Remote, United States Full time
Training Intern/Fellow/Postdoc
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About this opportunity

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 & 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.

What You’ll Do:

As a co-op, you will have the job as described below, but not limited to:

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

To participate in the Biogen Internship or Co-op Program, students must meet the following eligibility criteria:

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

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.

Job details

Seniority
Intern/Fellow/Postdoc
Function
Training
Therapeutic area
Not listed
Location
Remote, United States
Employment type
Full time

How this role compares

Computed from every other active Training role in our database, not just this employer's listings.

We currently track 21 comparable Intern/Fellow/Postdoc Training roles across 5 biopharma companies.

21Comparable roles tracked
21Currently active
5Companies hiring similar roles
9Countries represented

Salary context

1 of 21 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject Not listed on this posting
Peer group range $75,510 – $75,510 (median $75,510)

Where these roles are based

Top locations among the 21 comparable roles

United States8
Poland3
Switzerland2
France2
Canada2
Spain1

+ 3 more countries

Seniority mix

21 of 21 peers have a known seniority level

Intern/Fellow/Postdoc21

Therapeutic area mix

1 of 21 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Neuroscience1

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The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

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How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

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