Co-op, Artificial Intelligence Innovation

Biogen

3d•$23 - $29

About The Position

About the Role: This application is for a 6-month student role from January - June 2026. Resume review begins in October 2025. Biogen’s Decision & Quality Analytics Innovation (DQAI) team is part of the RD&M, the vision of the DQAI team is to drive data-driven insights from trusted data. And the mission of the DQAIteam is to maximize the quality, efficiency and application of analytics, optimization opportunities, identification of compliance risk, and enhanced business analytics application. Specifically, the DQAI team has four major components: (1) Advanced analytics and simulation of portfolio data (Monte Carlo simulation, etc.); (2) Establish robust and scalable data management pipeline; (3) Apply Artificial Intelligence in different business domains (Data Science, Machine Learning, Statistical Analysis, etc.); (4) Development of business intelligence tools (dashboards, websites, etc.) to transform data into actionable decisions What You’ll Do: In this role, you will work side-by-side with Biogen’s Data Scientists and Portfolio Analysts– you will have the opportunity to implement the latest methods from state-of-the-art (SOTA) research papers and get involved in the entire development lifecycle of the Artificial Intelligence (AI) products— from data ETL to model training, versioning, deploying, monitoring and validate models with feedback from subject matter experts. Below are some accountabilities of this role:

Requirements

Demonstrated proficiency in at least one programming language (Python, R, etc)
Familiarity with concepts about NLP/NLG, topic modeling, text analytics, and text mining, and understanding of their mathematical foundations
Experience with Monte Carlo Simulation
Experience with NLP packages in Python, such as NLTK, spaCy, Gensim, etc.
Experience with deep learning frameworks, such as Pytorch, TensorFlow, HuggingFace
Ability to explore, discover and import data from multiple sources and make them ready for modeling with SQL and/or Pandas
Ability to communicate complex technical concepts in a clear and actionable manner
Willing to work in a collaborative environment to define a practical solution
Currently pursuing a Master’s degree in Data Science, Statistics, Bioinformatics, Computer Science, Computational Biology, or related field
Legal authorization to work in the U.S.
At least 18 years of age prior to the scheduled start date.
Be currently enrolled in an accredited community college, college, university or skills program/apprenticeship.

Nice To Haves

Strong data visualization skills and experience with the Streamlit framework in Python is a plus
Experience with reproducing results from top-tier machine learning conferences is a plus
Familiarity with Github and Linux shell scripting in a cloud-based environment is a plus
Experience with Quality and Compliance data, R&D Portfolio Data in the Pharmaceutical industry is a plus

Responsibilities

Collaborate closely with senior data scientists and statisticians to implement and deploy cutting-edge AI models
Develop and prototype data visualizations and dashboards
Conduct research works on the latest AI applications in Pharmaceutical areas
Engage with stakeholders to communicate key results to deliver predictive and prescriptive insights
Provide ad-hoc statistical and machine learning support to business partners
Develop explainable machine learning models and deploy them as interactive dashboards
Build AI-powered solutions to enable portfolio analytics and quality analytics
Maintain existing software and data science pipeline