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Deep Learning Internship - REQID0002042

Computational Biology |

Job ID: REQID0002042

The Stowers Institute has an internship opportunity for a Deep Learning Specialist to join our Computational Biology team and assist biological data analysis. We are seeking an intellectually curious and motivated individual who will thrive in a collaborative and biology-driven team environment. The chosen candidate will develop and optimize multiple machine learning models using public and in-house multi-omics data. This is a multi-disciplinary role where strong communication, collaboration, and time management skills are essential.

RESPONSIBILITIES INCLUDE:

  • Survey current machine learning and deep learning tools used in different biological areas (e.g. regulatory genomics, single-cell genomics, etc.) and evaluate their performances and ease of use.
  • Develop optimized pipelines for efficient data pre-processing.
  • Speed up training deep learning models using CPU and GPU clusters.
  • Summarize and communicate findings to researchers with multi-disciplinary backgrounds.

MINIMUM QUALIFICATIONS:

  • Major in computer science, bioinformatics, computational biology, statistics, or a related discipline.
  • General knowledge with next generation sequencing data analysis.
  • Experience of machine learning and deep learning methods. Knowledge of deep learning applications in biology is a plus.
  • Experience working with a machine learning framework such as scikit-learn, PyTorch, Tensorflow, or Keras.
  • Coding in Python or R.
  • Experience working with Linux compute clusters.

TO APPLY

  • Submit the requested documents to careers@stowers.org or to Administration Department, Stowers Institute for Medical Research, 1000 E 50th Street, Kansas City, MO 64110.

REQUESTED DOCUMENTS

  • Current CV or Resume
  • Two letters of references
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