
5001 - 10000 employees
🏥 Healthcare
🏭 Manufacturing
🧬 Biotechnology
Healthcare • Manufacturing • Biotechnology
Biogen is a biotechnology company dedicated to discovering, developing, and delivering innovative therapies for people living with serious neurological diseases, including Alzheimer's disease, multiple sclerosis, and spinal muscular atrophy. With a strong emphasis on research and development, Biogen continues to advance the science of neurology through clinical trials and strategic partnerships, while also striving for access and health equity in healthcare.
🕒 September 25
🇺🇸 United States – Remote
💵 $29 - $33 / hour
👨🎓 Internship
⚪️ Entry-level
🦅 H1B Visa Sponsor
👻 Ghost score 21%
Where this job comes from
Posted on Biogen's careers page, not through a job board
First seen by Remote Rocketship September 25
Still open on Biogen's site. Checked 6 hours ago.

5001 - 10000 employees
🏥 Healthcare
🏭 Manufacturing
🧬 Biotechnology
Healthcare • Manufacturing • Biotechnology
Biogen is a biotechnology company dedicated to discovering, developing, and delivering innovative therapies for people living with serious neurological diseases, including Alzheimer's disease, multiple sclerosis, and spinal muscular atrophy. With a strong emphasis on research and development, Biogen continues to advance the science of neurology through clinical trials and strategic partnerships, while also striving for access and health equity in healthcare.
• 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 • 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 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/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
• Company paid holidays • Commuter benefits • Employee Resource Groups participation • 80 hours of sick time per calendar year
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