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Job DescriptionThe intern will join an AI/ML project team, led and supervised by Computational Biologists within the GI² TAU organization, which supports Takeda's clinical trials, while collaborating closely with experienced team members from the Takeda ShinrAI Center.
The intern will be integral to our initiatives in the gastrointestinal (GI) and inflammation disease areas by applying bioinformatics, machine learning, and AI techniques. This position will involve working with both structured and unstructured data, including multi-omics datasets and textual information. The intern will contribute to the research and development of generative AI applications, helping to enhance our understanding of complex biological systems and improve drug development processes. This will include tasks such as evaluating and preprocessing datasets, benchmarking AI models, and exploring innovative applications of AI that align with our clinical program needs.
Under the guidance of experienced mentors, the intern will develop critical thinking and problem-solving skills while collaborating with computational biologists and AI scientists. This collaborative environment will allow the intern to effectively communicate research plans, progress, and results, ensuring a meaningful contribution to the team's success within the GI2 TAU. Additionally, the opportunity to present their work will further enhance their professional experience and visibility within the field.
How You Will Contribute:
Apply relevant computational biology, Bioinformatics, Data Science, and AI/ML methods tailored to the specific problems at hand
Assist in identifying, evaluating, and curating public multi-omics datasets relevant to diseases and therapeutic areas of interest. Work with structured and unstructured data
Contribute to enhancing large-scale omics data integration and visualization
Support efforts to leverage innovative foundational tools including large language models (LLMs) and knowledge graph to improve computational methodologies and generate accurate insights from biological datasets. Additionally, benchmark AI, ML, and Generative AI tools to assess and optimize performance
Collaborate with computational biologists, AI scientists and cross-functional partners, effectively communicating research plans, progress, and results
Internship Development Opportunities:
The internship offers significant development opportunities in applying bioinformatics and AI/ML techniques to real-world challenges in gastrointestinal and inflammation diseases. Interns will enhance their skills in handling diverse data types, evaluating AI models, and collaborating with cross-functional teams, all while developing critical thinking and problem-solving abilities. Additionally, they will gain practical experience in innovative applications of knowledge graph and Generative AI, preparing them for future roles in computational biology and data science.
Job Requirements:
This is a hybrid position located in Cambridge, MA
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
A current graduate student who has completed at least two years in a Ph.D. program, working toward a degree in Computational Biology, Bioinformatics, Biomedical Engineering, Computer Science, Computer Engineering, or a related field. Graduating December 2025 or later
Skilled in applying computational methods and bioinformatics tools to large-scale datasets.
Proficient in Python. Working knowledge of R is a plus but not required
Eager to explore advanced AI/ML methodologies for data integration and visualization
Strong quantitative, analytical, problem solving and conceptual skills
Basic knowledge of Immune & Inflammation diseases, multi-omics data and drug
modulation
Experience with Generative AI, LLMs, knowledge graph and semantic knowledge retrieval
Research mindset to generate hypothesis, plan execution, and carry through
Strong organizational and effective 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 29th) or (June 16th - August 22nd
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 accepted between December 18th and January 12th
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, MAU.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, MAWorker TypeEmployeeWorker Sub-TypePaid Intern (Fixed Term) (Trainee)Time TypeFull timeJob Exempt
No