2026 Summer Internship Program: Assay Database Champion Intern

TakedaLexington, MA
53d$21 - $46Hybrid

About The Position

The goal of this internship project is to create ETL (extract, transform, & Load) templates in Python for use with the TetraScience database (TDB). We would like to have assay databases for our SEC, CE-SDS (R/NR), and icIEF methods. Extraction templates will need to be created to act as a “trigger” in the TDB for data capture. This will first act as proof of concept for AD Use Cases and additionally will result in the continuous addition of new values to the databases over time. A secondary goal will be to restructure the HCP database created a few years ago for our characterization group. The database currently resides in the RStudio Format, which is not compatible with TetraScience. It will need to be transformed into Python if AD wishes to continue its use. Both goals are designed for accessibility and ease of use and will demonstrate the powerful functionality of the TDB. The intern will design and implement an internal, web-based analytical method database to improve the consistency and accuracy of data interpretation. This will include compiling data from common release methods such as SEC, icIEF, and CE-SDS. On the technical side, the intern will be responsible for developing the database architecture, building a searchable and intuitive web interface, and deploying the solution within the organization’s AWS environment using an appropriate framework such as PHP, ASP.NET, or Python. Success will require close coordination across functions, including collaboration with scientific subject matter experts to validate assay content and with digital/IT partners to ensure performance, integration, and long-term sustainability. The internship will conclude with delivery of a deployed prototype, complete documentation, user guidelines, and a final presentation of results and recommendations to stakeholders.

Requirements

  • Must have a strong working knowledge of Python and its application
  • Third-year B.S. or above in Computer Science, Data Science, Information Technology, or a related field.
  • Candidates should have a strong interest in web-based scientific application development and user experience design, with familiarity in deploying solutions within cloud environments such as AWS.
  • Attention to detail, ability to work independently, and effective communication skills are essential, along with the capacity to collaborate across scientific and IT functions to deliver an accessible and sustainable platform.
  • 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 26th-August 14th or June 15th- August 21st)
  • 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
  • Takeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program

Responsibilities

  • Compile data from common drug release methods such as SEC, CE-SDS, and others
  • Build a searchable and intuitive framework for all methods run in Analytical Development
  • Build extraction templates in Python for unique assays performed & developed in Pharmaceutical Sciences
  • Generate documentation and user guidelines for final deployment

Benefits

  • Paid sick time
  • Civic Duty paid time off
  • Participation at company volunteer events
  • Participation at company sponsored special events
  • Access to on-site fitness center (where available)
  • 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.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Intern

Number of Employees

5,001-10,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service