Machine Learning Engineer / Scientist

Responsibilities

  • Develop software to integrate diverse data types (DNA/RNA sequencing, mass spectrometry, T cell data) to train machine learning models for neoantigen-targeted immunotherapy

  • Design and implement software testing procedures for machine learning models that will determine the composition of personalized therapeutics

  • Design and optimize neural network architectures specific to our applications in cancer immunology

Minimum Requirements

  • BS/MS or equivalent in computer science or another quantitative discipline (mathematics, physics, statistics, etc)

  • Proficiency with one or more general purpose programming languages (e.g., python, java, C++)

  • Expertise with at least one statistical programming language or toolset (e.g., R, python data science stack)

Preferred Qualifications

  • PhD in a quantitative discipline or comparable work experience

  • Experience with machine learning and machine learning software tools (e.g., scikit-learn), and in particular deep learning and deep learning software tools (e.g., Theano, Tensorflow, Keras, etc.)

  • Experience with data from at least one of the following relevant scientific domains: genomics, proteomics, immunology, oncology