 
        				   2026 U.S Summer Internship Program: Data Scientist Computational Biology Intern
Cambridge, Massachusetts- Job Level: Senior
- Travel: Minimal (if any)
Takeda has been translating science into breakthrough medicines for 240 years. Every step of the way, our teams have worked together to tackle some of the most challenging problems in drug discovery and development. Today, we’re a driving force behind innovative therapies that make a lasting difference to millions of patients around the world.
In R&D, all of our history and potential comes together in an environment that welcomes diversity of thought and amplifies every voice. Working closely with colleagues, you’ll play a key role in bringing our rich pipeline of products forward to help patients. Come join a team that’s earned trust for more than two centuries, and find out how advancing transformative therapies at Takeda will shape your bright future.
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
Job Description
The intern in the Early Clinical Development (ECD) computational biology group at Takeda GI-TAU will implement and test machine learning/deep learning based methods, to integrate and analyze large screening datasets and metadata information to generate actionable insights and interpretation for drug discovery and development questions in Gastrointestinal & Inflammation Therapeutic Area
How You Will Contribute:
As a Computational Biology Intern, you will have the opportunity to…
- Leverage proprietary clinical multi-omics data assets and implement advanced AI/ML approaches. 
- Explore and experiment with innovative strategies for data integration, visualization, and analytical approaches. 
- Engage in the exploration of cutting-edge methodologies aimed at enhancing the precision and depth of analyses. 
- Contribute to the development of advanced techniques within the field of Precision Medicine and Biomarker Discovery. 
Job Requirements:
- This position will be Fully Remote out of the Round Lake, Illinois location 
- Must be pursuing a Doctoral Degree in Computational Biology, Bioinformatics, Biostatistics and any other relevant fields. 
- Familiar with machine/deep- learning frameworks/libraries. Experience in testing and implement different deep learning architecture is preferred 
- Strong programming skills in R/Python. Proficiency in Unix/Linux shell, AWS/HPC environment is preferred 
- Working knowledge in molecular biology and clinical metadata 
- Highly motivated with a strong interest in bioinformatics data analysis in drug discovery and development 
- Quick learner, Outstanding oral 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 2026 or later 
- The internship program is 10-12 weeks depending on the two start dates (May 26th-August 14th or June 15th- August 21st) 
- 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 October 31st- November 16th
Takeda Compensation and Benefits Summary
We understand compensation may bean 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:
USA - MA - Cambridge - Binney StU.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
USA - MA - Cambridge - Binney StWorker Type
EmployeeWorker Sub-Type
Paid Intern (Fixed Term) (Trainee)Time Type
Full timeJob Exempt
NoIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.The heart of our work
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                    Empowerment Through trust and respect, you will have genuine support from leaders, managers, and colleagues to do your best work.
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