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Job Description

Takeda’s DMPKM GI modeling group provides quantitative data analysis, interpretation and empirical/mechanistic model-driven insights to support drug discovery and development efforts. We work closely with experimental colleagues within DMPK, safety, pharmacology and translational groups to perform early feasibility analyses, lead identification, lead optimization, mechanism of action clarification, target exposure identification, dose projection and other activities to support programs through inflection points leading up to IND submission.

Job Description:

Certain classes of pharmacological targets for chronic conditions carry 'black-box' warnings because rare serious adverse events (SAEs) have taken place, the precise pharmacology of which may be unclear. Takeda has access to a large database spanning millions of patients. In addition to demographics, it includes information on medications taken, dosage, pharmacokinetics, lab values, etc. Such databases offer the opportunity to use real-world evidence to attempt to identify combinatorial factors that may explain elevated risk of these rare SAEs. However, it unlikely that any single factor alone will be sufficient to explain these risks.

How You Will Contribute:

Duties will include the following, under the manager's supervision, and with input from DMPK&Modeling and Drug Safety colleagues:

Rapid familiarization with the broad scope of the database, as well as the clinical pharmacology of a certain class of targetsConstruction of a query to extract potentially relevant data from the database; construction, characterization, and validation of a multifactorial model relating available data (including but not limited to pharmacokinetic, demographic, pharmacology information) to SAE riskGeneration of an interpretable version of that model, and if time allows, progressive refinement.The candidate will also present their findings at one or two internal reviews.
 

Internship Development Opportunities:

Interns will learn how to apply pharmacokinetic modeling and machine-learning techniques to real-world problems in drug development. This project will provide experience in using real-world evidence (RWE) to help develop novel therapeutics with improved safety profiles.

Job Requirements:

This position will be Hybrid and require 2-3 days in the Cambridge office per week.Must be pursuing a Master’s or PhDDemonstrate an understanding of concepts in basic pharmacokinetics and in vivo pharmacologyExperience in applying machine-learning algorithms to very large datasets, very likely with missing data, to correlate available data with risk of SAEsBe acquainted with standard techniques of model training, validation, and characterizationHave experience with generating interpretable models (e.g., SHAP analysis or similar), because the ultimate goal will be to bring useful insights back to drug-development teams who do not have this kind of background.Basic understanding of computer skills including MS Office (PowerPoint, Words, Excel)Internet skills including use of e-mails, group messaging and information gatheringHighly reliable and a strong team playerFlexible with an attention to detailStrong verbal and written communication skills

Internship Eligibility

Must be authorized to work in the U.S. on a permanent basis without requiring sponsorshipMust be currently enrolled in a degree program graduating December 2025 or laterThe internship program is 10-12 weeks depending on the two start dates (June 2nd- August 29th) or (June 16th - August 22nd)The intern must be able to commit to one of these time framesAble to work full time 40 hours a week during internship datesTakeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program

 Program Highlights:

Hands-on experience with real projects and responsibilitiesDedicated mentorship program pairing interns with experienced professionalsNetworking opportunities with industry professionals and fellow internsInternship events focused on professional and skills developmentExposure to multiple business areas or departments within a Pharmaceutical Organization

Applications will be accepted between January 6th and January 31st

Takeda Compensation and Benefits Summary 

We understand compensation may be an important factor as you consider an internship opportunity. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. 

For Location:

Boston, MA

U.S. Hourly Wage Range:

$21.00 - $46.00

The estimated hourly range reflects an anticipated range for this position. The actual hourly wage offered will depend on the candidate’s school year/level to be entered following completion of internship.  The actual hourly wage offered will be in accordance with state or local minimum wage requirements for the job location. 

 

U.S. internship benefits vary by location and may include: 

 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.  

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.

LocationsBoston, MA

Worker TypeEmployee

Worker Sub-TypePaid Intern (Fixed Term) (Trainee)

Time TypeFull time

Job Exempt

No