Co-op, Data Science

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $23 - $29 / hour

👨‍🎓 Internship

⚪️ Entry-level

📊 Data Scientist

🦅 H1B Visa Sponsor

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Biogen

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 and stakeholders to define analytical questions and translate business or scientific needs into data-driven solutions • Prepare, clean, integrate, and analyze structured and unstructured data from regulatory, R&D quality/compliance, drug safety and/or non-clinical safety sources • Create dashboards, visualizations, user interfaces, and/or reports that enable data-driven decision making for technical and non-technical audiences • Research emerging applications of artificial intelligence, machine learning, natural language processing, and advanced analytics in pharmaceutical research and development • Contribute to reusable data pipelines, code libraries, model documentation, and analytical workflows promoting quality, transparency, scalability, and reproducibility • Present findings, recommendations, and technical approaches to project teams and stakeholders • Build LLM chatbots to search unstructured data repositories for answers to regulatory authority queries • Contribute to human-in-the-loop content and document generation • Build agents that can interrogate processes like an auditor or inspector • Develop SOP/guidance to ensure quality and oversight of AI

🎯 Requirements

• Demonstrated proficiency in at least one programming language commonly used for data science, such as Python, R, or SQL • Foundational understanding of statistics, machine learning, data visualization, and data preparation techniques • Interest in drug development, biotechnology, pharmaceutical research, clinical development, regulatory science, or healthcare analytics • Strong analytical thinking, problem-solving skills, attention to detail, and willingness to learn complex scientific and operational domains • Ability to communicate technical concepts clearly and collaborate effectively with cross-functional partners • Comfort working independently on assigned deliverables while actively seeking feedback and guidance from mentors and project teams • 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 bachelor’s or master’s degree in data science, statistics, biostatistics, computer science, bioinformatics, computational biology, engineering, mathematics, public health, life sciences, or a related quantitative field

🏖️ Benefits

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

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