AD Mass Spectrometry Informatics Intern

Job Description

AD Mass Spectrometry Informatics Intern | Takeda

The Tone:
This is an internship at Takeda, located in Lexington, MA. The Analytical Development (AD Biologics) team plays a vital role in drug development by creating analytical methods to assess the quality of drug candidates. The Structural Characterization team specifically uses advanced mass spectrometry to understand molecular integrity, heterogeneity, and stability, providing critical insights for biotherapeutics. This internship project is centered on developing an internal, web-based database for post-translational modification (PTM) delta-mass references, which will improve the consistency and accuracy of data interpretation from mass spectrometry workflows.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: Lexington, MA
• Pay: $21–$46 hourly
• Team: Structural Characterization team, part of Analytical Development (AD Biologics), Pharmaceutical Sciences
• Mission: Develop a centralized, web-based post-translational modification (PTM) delta-mass reference database to standardize and improve mass spectrometry data interpretation.
• Tech Stack: Amazon Web Services (AWS)

What You’ll Actually Do
• Compile: Compile post-translational modification (PTM) information from UniMod, scientific literature, and internal records into a structured reference set.
• Consolidate: Consolidate aliases and define preferred nomenclature to standardize PTM naming across analytical development.
• Design: Design and implement a user-friendly, web-based database interface within the organization’s Amazon Web Services (AWS) environment.
• Integrate: Integrate links to authoritative references for each PTM to provide scientific context and support data interpretation.
• Collaborate: Collaborate with scientific subject matter experts and information technology partners to validate content and ensure usability.
• Deliver: Deliver a working prototype of the database along with documentation, user guidelines, and a final presentation to stakeholders.

The Must-Haves
• Background: Third-year B.S. student or above (including Master’s or Ph.D. candidates) in Computer Science, Data Science, Information Technology, or a related field.
• Experience: Demonstrated interest in web-based scientific application development and user experience design; familiarity with developing database architecture, building searchable web interfaces, and deploying solutions in cloud environments such as Amazon Web Services (AWS).
• Skills: Strong attention to detail with the ability to work independently; effective communication skills and proven ability to collaborate across scientific and IT functions.
• Bonus: Experience with one or more frameworks such as PHP, ASP.NET, Python Django, or R Shiny.