2026 Summer Internship Program: Machine Learning Research Intern

TakedaBoston, MA
22h$21 - $46Onsite

About The Position

The Computational Chemistry Group in the Computational Science and Data Strategy (CSDS) department at Takeda Research focuses on integrating computational methodologies to advance drug discovery and development.

Requirements

  • Currently enrolled in a Master’s or PhD program in Computer Science, Engineering, Chemistry, Biology, or a related quantitative field.
  • Strong interest in research at the intersection of machine learning and the life sciences.
  • Good foundational knowledge of chemistry and/or biology.
  • Solid communication skills in English, with the ability to explain technical concepts clearly in small group discussions and meetings.
  • Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship
  • Must be currently enrolled in a degree program graduating December 2026 or later
  • The internship program is 10- 12 weeks depending on the two start dates ( May 26 th -August 14 th or June 15 th - August 21 st )
  • The intern must be able to commit to one of these time frames
  • Able to work full time 40 hours a week during internship dates

Nice To Haves

  • Hands-on Python programming experience.
  • Experience with data science and/or cheminformatics tools, such as Pandas, Scikit-learn, Matplotlib, RDKit, OEChem, or DeepChem.
  • Experience with at least one deep learning framework, such as PyTorch, TensorFlow, or JAX.

Responsibilities

  • Design, train, and evaluate modern machine learning models applied to chemical and biological problems.
  • Collaborate with the machine learning research team to explore and test new algorithmic ideas.
  • Clean, organize, and analyze chemical and biological datasets for modeling and benchmarking.
  • Build and validate models for (bio)molecular property prediction and optimization.
  • Compare different molecular representations (e.g., SMILES, graphs, fingerprints) in both supervised and unsupervised learning setups.
  • Work closely with colleagues in chemistry, biology, and data science to understand real R&D needs and how ML solutions can be integrated into existing workflows.
  • Present your results regularly to the team, including progress updates, key findings, and next steps.

Benefits

  • Paid sick time
  • Civic Duty paid time off
  • Participation at company volunteer events
  • Participation at company sponsored special events
  • Access to on-site f itness c enter (where a vailable )
  • Commuter Benefit: To offset your work-commute expenses, Takeda provides U.S. employees with a fixed monthly subsidy to be used for either public transportation (transit) or parking.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service