2026 Summer Internship Program: Neuroscience Computational Biology Intern

Role Summary

2026 Summer Internship Program: Neuroscience Computational Biology Intern

Responsibilities

• Analyzing bulk and single-cell RNA-seq data.
• Processing large-scale proteomics datasets (e.g., Olink, SomaScan, Nulisa).
• Leveraging pathway and protein‚Äìprotein 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.
• 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.
• 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.

Qualifications

• 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.
• 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.

Skills

• AI/ML techniques
• Genetic and multi-omics data analysis
• Biomarker discovery and validation
• Data integration and analytics pipelines
• Collaboration across biology, chemistry, and medicine
• Communication in a cross-disciplinary environment