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ShinrAI Center for AI/ML Internship - Summer 2024

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Takeda

Jan 26

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Boston

Requirements

  • Exceptional interpersonal, verbal communication and writing skills.
  • Deadline-driven with an elevated level of organizational and planning skills.
  • Strong quantitative, analytical, problem solving and conceptual skills.
  • Proven record of accomplishment of teamwork, adaptability, innovation, initiative, and integrity.
  • Global mindset to grow in a diverse work environment.
  • Interest to solve real world problems with the latest advances in AI/ML.
  • Research mindset to generate hypothesis, plan execution, and carry through.
  • Proficiency in Python and manipulating structured and unstructured data.
  • Currently authorized to work in the United States without sponsorship. Takeda does not provide sponsorship for internship positions.
  • Available to work full-time (40 hours per week), within the core business hours of 8:00am – 5:00pm, for 10-12 weeks during the summer months.
  • Current graduate student with at least one year completed in a Masters or Ph.D. program, working toward a degree in Computer Science, Data Science, Biomedical Engineering, or similar.
  • Must be enrolled in school the semester following your internship with Takeda.
  • Please note that Takeda does not provide intern housing or a housing stipend.

Responsibilities

  • ShinrAI Center of Excellence for AI/ML, part of Takeda R&D, is prototyping many applications leveraging large language models and other machine learning methods to improve the pharmaceutical R&D pipeline. Applications include but not limited to using large language models for knowledge extraction to support clinical trial design, building biomedical knowledge graphs, regulatory intelligence; and generating drafts for protocols. You will gain hands on experience building one of these applications while gaining valuable industry experience working alongside professionals and learning about the pharmaceutical landscape.
  • Apply appropriate data science, ML, NLP, and generative AI methods according to the problem at hand.
  • Hands-on experience using large language models such as ChatGPT, Llama, Falcon or similar. Making API calls to these models and analyzing outfits.
  • Work with structured and unstructured databases
  • Explore new methodologies to enhance automation and visualization

Takeda

Better Health, Brighter Future

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

We strive to transform lives. While the science we advance is constantly evolving, our core purpose is enduring. For more than two centuries, our values have guided us to do what’s right for patients and for society. We know that changing lives requires us to do things differently. We start by listening to and addressing what really matters to patients, the people who love them, and those in the healthcare system who provide care. And that’s what inspires us all to be bold, push boundaries and set new standards that open up greater opportunities.