Co-op, Data Science

Summary

Biogen is a biotechnology company developing life-changing medicines, and SPARQ TADI is seeking a Data Scientist Co-op to support data science, analytics, and artificial intelligence initiatives across drug development. The role involves preparing and analyzing complex biopharmaceutical data, developing visualizations and reusable data workflows, researching AI and machine learning applications, and presenting findings to stakeholders.

Responsibilities

• 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 to 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 that promote quality, transparency, scalability, and reproducibility
• Present findings, recommendations, and technical approaches to project teams and stakeholders in a clear, concise, and professional manner

Skills

• * 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

Qualifications

Must Haves

• * 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