Machine Learning Scientist Position

Day Zero Diagnostics is a bacterial genomics start-up in Boston that is seeking to recruit a highly motivated data scientist to join our team. At Day Zero Diagnostics we are modernizing the way infectious diseases are diagnosed and treated by developing a rapid diagnostic that sequences the genomes of pathogenic bacteria, and then uses machine learning methods to identify the cause of the clinical infection.

As a Machine Learning Scientist, you will work with other team members to develop and implement state-of-the-art machine learning models to predict phenotypic traits from bacterial genomic data. We are looking for candidates with expertise in Natural Language Processing (NLP) deep learning models, preferably with experience with biological sequence data.

Candidates will gain experience in a multidisciplinary and fast-paced start-up environment, and will have ample opportunities to acquire new skills, work closely with an accomplished team, and communicate results through patents, conference presentations, and peer-reviewed publications while working in a supportive and energetic environment. We value intellectual curiosity and a strong work ethic, and look for candidates who are both excited to contribute their expertise and eager to broaden their skillset to new areas.


  • Develop, implement, and test machine learning models for predicting phenotypic traits from genomic sequences.
  • Build statistical and analytical tools to research and support machine learning models.
  • Maintain organized, tested code and corresponding documentation.
  • Present data within and outside of the company at meetings and symposia.
  • Write, edit, and submit manuscripts/abstracts/grants detailing the results of the project.
  • Work closely within the group and with outside collaborators.
  • Maintain close communications with the team regarding progress.


  • PhD degree in Machine Learning, Computer Science, Computational Biology, or equiv.
  • Expertise in NLP deep learning models, preferably with biological sequence data
  • Fluency in Python, Linux, TensorFlow, C/C++, SQL and git
  • Familiarity with high performance computing (e.g., parallel computing, memory management, OpenMP, CUDA)
  • Familiarity with NGS data analysis, particularly ONT MinION data, helpful
  • Highly motivated and independent, with the ability to work in a dynamic team environment
  • Strong oral and written communications skills
  • Excellent organizational skills and attention to detail
  • Flexibility to occasionally work evenings or weekends

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