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Co-op, Data Science

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job 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.

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.

To participate in the Biogen Internship or Co-op Program, students must meet the following eligibility criteria:

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.

Education Requirements

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.

Job Level: InternshipAdditional Information

The base compensation range for this role is: $23.00-$29.00The actual hourly wage offered will consider the candidate’s current academic level and degree candidacy, inclusive of Associate, Bachelor’s, Master’s, JD, MD, PhD and MBA programs. It will comply with state or local minimum wage requirements specific to the job location.

In addition to compensation, Biogen offers a range of benefits designed to support our educational employees, including, but not limited to: 

Company paid holidays 

Commuter benefits

Employee Resource Groups participation

80 hours of sick time per calendar year

Why Biogen?

We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.

At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about Biogen.

All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

This job is curated by Lifelancer.

Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.

Please apply via Lifelancer platform to get connected to the application page and to find similar roles.

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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