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Job Description

The Neuroscience (NS) Computational Biology team leverages state-of-the-art computational biology and AI/ML approaches to rigorously identify and evaluate disease–target–biomarker relationships in neuroscience. By integrating human genetics and large-scale multi-omics data, the team generates novel insights that drive drug discovery, indication expansion, and biomarker development.

As an NS Computational Biology Intern, you will develop and deliver computational pipelines to discover and validate genetic and multi-omics biomarkers relevant to neurodegenerative diseases. Your work will focus on genetic and omics data analysis, biomarker discovery, and the application of AI/ML methods.

Key responsibilities include:

Analyzing bulk and single-cell RNA-seq data.

Processing large-scale proteomics datasets (e.g., Olink, SomaScan, Nulisa).

Leveraging pathway and protein–protein interaction (PPI) networks to prioritize biomarkers across disease stages and therapeutic interventions.

Applying AI/ML techniques to develop composite biomarker scores with improved sensitivity and specificity.

This internship provides hands-on experience at the intersection of computational biology and drug discovery, building skills and knowledge essential for a career in the pharmaceutical industry.

How You Will Contribute:

During your internship, you will:

Analyze large-scale, well-characterized neurodegeneration cohorts (e.g., AMP-AD, AMP-PD, ADNI, UK Biobank).

Explore novel approaches to identify and validate peripheral biomarkers reflective of central nervous system disease processes and target engagement.

Apply AI/ML to enhance biomarker discovery and validation.

Design and implement analytic pipelines to improve efficiency and reproducibility.

Collaborate with scientists across diverse backgrounds, including biology, chemistry, and medicine, to maximize the impact of computational insights.

Internship Development Opportunities:

Collaborate closely with experienced scientists to advance computational biology expertise.

Gain exposure to applying AI/ML to address key challenges in neuroscience drug discovery.

Engage with cross-functional leaders across the pharmaceutical industry.

Build hands-on experience analyzing large-scale, patient-derived multi-omics datasets.

Job Requirements:

Preferred: PhD candidate in Computational Biology, Bioinformatics, Biostatistics, Applied Mathematics, Computer Science, or Electrical Engineering.

Strong foundation in statistics and AI/ML.

Experience in analyzing omics data (e.g., RNA-seq, proteomics).

Proficiency in programming languages such as R or Python.

Highly organized and deadline-driven, with strong problem-solving skills.

Excellent oral and written communication abilities, with the ability to collaborate in a cross-disciplinary environment.

Global mindset and ability to thrive in a diverse workplace.

This position will be hybrid, with occasional on-site meetings in Cambridge, MA for local candidates.

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 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

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