Job Description:
About This Role:
As an Intern in Advanced Data Analytics, you will join our Global Manufacturing Sciences Team at the Solothurn Biologics Manufacturing facility. This role is centered around enhancing our process data analytics tools and leveraging Artificial Intelligence (AI) techniques such as machine learning and deep learning to optimize real-time bioprocess monitoring. You will develop data extraction pipelines and automated processing workflows to feed analytical tools, supporting improvements in yield and product quality. Your work will be crucial in visualizing model outputs through dashboards, aiding in fault detection and process optimization. Collaborating with process experts, you'll play a pivotal role in strengthening our process understanding and robustness, fitting seamlessly into our innovative team structure.
What You'll Do:
* Build automated data extraction pipelines and data processing workflows using OSI PI, Statistica, and Python.
* Develop AI models including supervised learning, deep learning, and reinforcement learning to predict process performance metrics.
* Create novel analytical tools and apply data-driven modeling principles using Python to describe bioprocessing operations.
* Build applications to visualize model outputs, supporting process monitoring and performance evaluation.
* Collaborate with process experts to address data analysis requests and report findings effectively.
* Assist in enhancing process understanding through advanced data analytics and modeling techniques.
Who You Are:
You are deeply curious and passionate about data analytics and its applications in bioprocessing. You thrive in collaborative environments and are eager to learn from and contribute to a team of experts. Your strong analytical skills and attention to detail drive you to uncover insights that enhance process efficiency. You possess a growth mindset, continuously seeking opportunities to expand your knowledge and skills in data science and biotechnology.
Required Skills:
* Currently enrolled in an MSc program in Biotechnology, Chemical Engineering, Life Sciences, or Computational Sciences.
* Fundamentals of bioprocessing, including Process Analytical Technology (PAT).
* Experience with ETL of large datasets and statistical data analytics.
* Proficiency in Python and familiarity with ML/DL libraries such as TensorFlow or PyTorch.
* Strong mathematical background with experience in process modeling concepts.
Preferred Skills:
* Experience in handling and visualizing large datasets.
* Familiarity with OSI PI and Statistica for data processing.
* Ability to work effectively in a team and communicate complex data insights.
Job Level: Internship
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 our DE&I efforts.
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
| Source: | Company website |
| Posted on: | 12 Dec 2025 |
| Type of offer: | Internship |
| Industry: | Health Care |
| Languages: | English |