Posted to MedZilla on 3/23/2019

Takeda Pharmaceuticals

US-MA, Summer Intern - Computational Biology R0006594-MZ


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Job Description


A Ph.D. student level summer intern position in computational biology (Global Computational Biology) within Takeda Boston that is tasked with supporting the efforts for target identification.


  • Develop method utilizing deep learning or other machine learning framework to predict function of microbial proteome.
  • Run literature search and method evaluation.
  • Write reports and give presentations on the analysis results to internal/external audience.


  • A PhD student in computational biology, bioinformatics, human genetics or statistical genetics, biostatistics, computer science, mathematics or relevant engineering fields.
  • Strong quantitative science background including statistics, data mining, and machine learning, particularly deep learning algorithms.
  • Strong knowledge on human genetics or statistical genetics.
  • Good experiences with statistical modeling for associating genetic features with phenotypes such as treatment response or disease subtypes.
  • Experiences with next-generation sequencing data analysis are appreciated.
  • Sufficient programming exposure to R. Experiences with Python, Perl, Matlab, C/C++, or JAVA are also appreciated.
  • Experience with tensorflow preferred.
  • Excellent communication skills.


Boston, MA

Worker Type


Worker Sub-Type

Paid Intern (Fixed Term) (Trainee)

Time Type

Full time

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