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Takeda Pharmaceuticals 2023 PhD Summer Internship - Data Sciences Institute in Boston, Massachusetts

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Job Description

About the role:

At Takeda, we are committed to lifelong learning.

To that end, Takeda's summer internship program blends real world experience with an extensive overview of the pharmaceutical industry. Knowledgeable mentors will provide guidance as you gain professional hands-on experience to start your career or further develop in your expertise.

The summer internship program is a full-time commitment of 12 weeks in length and offers a unique perspective into a world-class pharmaceutical company. Our internship program also provides you the opportunity to network with people at Takeda through various planned events and activities.

Project Outline:

Case narratives that are reported on observed Adverse Events (AEs) associated with using a drug, contain longitudinal data about health status of patients, diseases, conducted tests and response to treatments, and details that allow causal inference. Analyzing such information can prove of immense value not only for clinical practice, but also for the organization and management of healthcare services. Given the value of information embedded in narrative of AE reports from patients, a significant human effort is dedicated to translating unstructured textual filed into structured format to facilitate further analysis of data for purposes such as causality assessment, which is defined as finding a causal association or relationship between a drug and a drug adverse event reaction. The process of causality assessment is vital to the company, to identify any source of safety signals as soon as possible, prevent company from regularity issues, and above all to improve safety of patients. Currently, this process is significantly relied on human efforts of medical domain expertise, as a rare resource, to review the reported cases and prioritize the ones with the need for further investigation.

Recent advances in the field of Natural Language Processing (NLP), have shown to be effective in facilitating the automation of traditionally manual tasks. The goal of this project is to assess the application of NLP directly on AE free-text case narratives that are reported to the company to categorize cases with potential evidence of causality relatedness to the drug under investigation. Such analysis is beneficial to explore the potential of NLP in reducing human efforts and move toward automation for ranking reported cases with the highest urgency for individual medical review by experts.

This internship position will be a hybrid role.

How you will contribute:

  • Deadline-driven with a high level of organizational and planning skills

  • Strong analytical, problem-solving, and oral and written communication skills

  • Ability to work well in teams, effectively manage projects, and present ideas clearly and concisely.

  • Global mindset to grow in a diverse work environment

  • Excellent communication and leadership skills

  • Major in technical/quantitative disciplines such as Computer Science, Data Science, or Engineering with relevant technical experience

  • Proficiency in coding skills in at least one of programming languages Python/R/C++/Java

  • Knowledge of unsupervised, supervised Machine Learning methods, statistical concepts, and programming frameworks such as scikit-learn

  • Knowledge of Deep Learning methods, and familiarity with deep learning programming frameworks, such as TensorFlow or PyTorch

  • Experience with Natural Language Processing techniques and applications is highly desirable

  • Familiarity of Unix/Linux, command line interfaces, relational databases (e.g., SQL) and cloud computing or distributed computing (i.e., AWS) is a plus

Requirements / Qualifications:

As stated above, Takeda is committed to lifelong learning opportunities. To that end, our internship program is open to currently enrolled students seeking early experiences and non-traditional candidates interested in making a career change and gaining new experience.

The requirements for these two groups of candidates are specified below:

Candidates currently enrolled at an accredited university:

  • Must be authorized to work in the US without sponsorship (i.e., Takeda will not sponsor interns)

  • Must be available to work full-time (40 hours/week), within core business hours (8 AM-5 PM), for a minimum of 12 weeks during the summer months

  • Minimum GPA 3.0/4.0

  • PhD or Master student with relevant research experience and at least one year of university studies before internship

  • Return to university for at least one semester post-internship

  • Takeda does not provide student housing or housing stipends

Non-traditional candidates not currently enrolled at university:

  • Must be authorized to work in the US without sponsorship (i.e., Takeda will not sponsor interns)

  • Must be available to work full-time (40 hours/week), within core business hours (8 AM-5 PM), for a minimum of 12 weeks during the summer months

  • Must provide a cover letter explaining why you are seeking this internship, relevant experience that makes you a good candidate, and what you hope to achieve through the experience

  • Strong preference for non-traditional candidates with some experience relevant to the desired intern role

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Boston, MA

Worker Type

Employee

Worker Sub-Type

Paid Intern (Fixed Term) (Trainee)

Time Type

Full time

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