Co-op, Data Science
Six-month remote (USA) Data Science co-op at Biogen (Jan–Jun 2027) supporting drug development analytics — preparing regulatory, quality, and drug-safety data, building dashboards, and exploring AI/ML/LLM applications such as chatbots and agents. Open to currently enrolled students in quantitative fields with Python, R, or SQL skills.
- Compensation
- $23–$29 / hr
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- Proficiency in at least one data science programming language: 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, and attention to detail
- Ability to communicate technical concepts clearly and collaborate with cross-functional partners
- Comfort working independently while seeking feedback from mentors and project teams
- Currently pursuing a bachelor's or master's degree in data science, statistics, biostatistics, computer science, bioinformatics, computational biology, engineering, mathematics, public health, life sc
- 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
Full description
Job Title: Co-op, Data Science
Job Location: Remote, USA
Job Location Type: Remote
Job Contract Type: Full-time
Job Seniority Level: About the Role:
This application is for a 6-month student role from January - June 2027. Resume review begins in October 2026.
SPARQ TADI are seeking a motivated, intellectually curious Data Scientist Co-op to support data science, analytics, and artificial intelligence initiatives across drug development. This role is designed for a college degree–seeking student who wants hands-on experience applying statistical, machine learning, and data engineering methods to real-world challenges in biopharmaceutical research and development.
The co-op will work alongside data scientists and subject matter experts to transform complex regulatory, R&D quality/compliance, drug safety and/or non-clinical safety data into actionable insights that help improve drug development decision-making, efficiency, quality, and patient impact.
What You’ll Do:
As a co-op, you will:
- 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.
Example projects may include:
- Building LLM Chatbots to search in unstructured data repositories to find answers to regulatory authority queries.
- Human in the loop content and document generation
- Build agents to can interrogate processes like an auditor or inspector
- Develop SOP/Guidance to ensure quality and oversight of AI with team
Who You Are:
Include the knowledge, skills, and abilities you may be seeking.
- Demonstrated proficiency in at least one programming language commonly used for data science, such as Python, R, or SQL.