2026 Summer Internship Program: Machine Learning Research Intern Job at Lensa, Boston, MA

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  • Lensa
  • Boston, MA

Job Description

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Takeda Pharmaceuticals. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.

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 Computational Chemistry Group in the Computational Science and Data Strategy (CSDS) department at Takeda Research focuses on integrating computational methodologies to advance drug discovery and development.

Responsibilities

In this role, you will:

  • Design, train, and evaluate modern machine learning models applied to chemical and biological problems.
  • Collaborate with the machine learning research team to explore and test new algorithmic ideas.
  • Clean, organize, and analyze chemical and biological datasets for modeling and benchmarking.
  • Build and validate models for (bio)molecular property prediction and optimization.
  • Compare different molecular representations (e.g., SMILES, graphs, fingerprints) in both supervised and unsupervised learning setups.
  • Work closely with colleagues in chemistry, biology, and data science to understand real R&D needs and how ML solutions can be integrated into existing workflows.
  • Present your results regularly to the team, including progress updates, key findings, and next steps.

Required Qualifications

  • Currently enrolled in a Master's or PhD program in Computer Science, Engineering, Chemistry, Biology, or a related quantitative field.
  • Strong interest in research at the intersection of machine learning and the life sciences.
  • Good foundational knowledge of chemistry and/or biology.
  • Solid communication skills in English, with the ability to explain technical concepts clearly in small group discussions and meetings.

Preferred Qualifications

  • Hands-on Python programming experience.
  • Experience with data science and/or cheminformatics tools, such as Pandas, Scikit-learn, Matplotlib, RDKit, OEChem, or DeepChem.
  • Experience with at least one deep learning framework, such as PyTorch, TensorFlow, or JAX.

Internship Eligibility

  • Mustbe authorized towork in the U.S. on a permanent basis without requiring sponsorship?
  • Must be currently enrolled in a degree program graduating December 2026or later?
  • The internship program is 10-12 weeksdepending on the two start dates (May 26th-August 14thor June 15th- August 21st)
  • The intern must be able to commit to one of thesetime frames
  • Able to work full time40 hoursa 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 until January 4th

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

It 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.

If you have questions about this posting, please contact support@lensa.com

Job Tags

Hourly pay, Minimum wage, Permanent employment, Full time, Fixed term contract, Traineeship, Summer internship, Local area, Relocation package,

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