Co-op, Data Science, AI Innovation

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $29 / hour

👨‍🎓 Internship

⚪️ Entry-level

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Biogen

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Collaborate with data scientists, portfolio analysts, and subject matter experts to develop and deploy innovative AI and analytics solutions • Design and implement machine learning, predictive analytics, and decision-support models for portfolio and operational challenges • Develop interactive dashboards, reporting tools, and data products that translate complex data into actionable insights • Research and evaluate emerging AI, machine learning, and agentic AI technologies for pharmaceutical R&D • Partner with Development, Portfolio Management, and Operations stakeholders to understand business needs and deliver scalable solutions • Contribute to the design and maintenance of data pipelines, AI platforms, and software products supporting enterprise decision-making • Promote responsible AI practices, model transparency, and continuous learning through experimentation and innovation • Build AI agents for portfolio reporting, risk identification, and data reconciliation workflows • Develop predictive and prescriptive analytics for portfolio prioritization and strategic planning • Develop scalable data pipelines and ETL processes integrating enterprise platform data • Support the design, optimization, and governance of Biogen’s Snowflake-based data ecosystem • Create machine learning models and decision-support tools for resource forecasting, quality analytics, and operational intelligence • Develop Project FORWARD capabilities connecting data, AI, and workflow automation for portfolio management

🎯 Requirements

• This application is for a 6-month student role from January - June 2027 • Proficiency in Python, R, or another programming language commonly used for data science and analytics • Strong foundation in machine learning, statistics, and data analysis • Familiarity with NLP, LLMs, generative AI, and their underlying methodologies • Experience with modern machine learning and deep learning frameworks such as PyTorch, TensorFlow, Hugging Face, or similar platforms • Experience building and maintaining data pipelines, ETL workflows, and data integration processes • Proficiency in SQL and experience working with enterprise-scale relational and cloud-based data platforms • Familiarity with Snowflake, Databricks, or other modern cloud data warehousing technologies • Understanding of data modeling concepts, including dimensional modeling, star schemas, and data architecture best practices • Ability to communicate technical concepts and analytical findings to both technical and non-technical audiences • Strong problem-solving skills and a desire to work collaboratively in a multidisciplinary environment • Passion for learning, experimenting with emerging AI technologies, and applying them to business challenges • 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 • Currently pursuing a Master’s degree in Data Science, Statistics, Bioinformatics, Computer Science, Computational Biology, or related field

🏖️ Benefits

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