Takeda Pharmaceuticals • Boston, MA 02133
Job #2819244940
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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 targets
Construction 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 risk
Generation 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 PhD
Demonstrate an understanding of concepts in basic pharmacokinetics and in vivo pharmacology
Experience in applying machine-learning algorithms to very large datasets, very likely with missing data, to correlate available data with risk of SAEs
Be acquainted with standard techniques of model training, validation, and characterization
Have 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 gathering
Highly reliable and a strong team player
Flexible with an attention to detail
Strong verbal and written communication skills
Internship Eligibility
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 2025 or later
The internship program is 10-12 weeks depending on the two start dates (June 2nd- August 22nd) or (June 16th - August 29th)
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
Program Highlights:
Hands-on experience with real projects and responsibilities
Dedicated mentorship program pairing interns with experienced professionals
Networking opportunities with industry professionals and fellow interns
Internship events focused on professional and skills development
Exposure 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.
Locations
Boston, MA
Worker Type
Employee
Worker Sub-Type
Paid Intern (Fixed Term) (Trainee)
Time Type
Full time
Job Exempt
No
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