Biogen's Decision & Quality Analytics Innovation (DQAI) Team is looking to drive data-driven insights from trusted data to maximize the quality, efficiency, and application of analytics, identify optimization opportunities, identify compliance risks, and enhance business analytics applications.
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
- Strong data visualization skills and experience with the Streamlit framework in Python 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
- 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
Other
- This application is for a 6-month student role from January - June 2026.
- Engage with stakeholders to communicate key results to deliver predictive and prescriptive insights
- 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.
