Day Zero Diagnostics (DZD) is an infectious disease diagnostics company using whole genome sequencing and machine learning to combat the rise of antibiotic-resistant infections. We are developing a product that will allow microbiology labs to perform comprehensive bacterial species identification and and genomic antibiotic resistance profiling within 8 hours of receiving a sample, all without the need for time-consuming blood cultures. Providing this information in hours rather than days would enable faster appropriate antibiotic therapy for systemic infections such as sepsis, reduce hospital treatment durations, and reduce treatment costs.
At DZD we are passionate about our mission of modernizing infection disease diagnosis and treatment. Employees gain experience in a multidisciplinary and fast-paced start-up and have ample opportunities to acquire new skills, engage with emerging technologies, work closely with our accomplished team, and communicate their results, all while working in a supportive and energetic environment. We work in state-of-the-art facilities within an exceptional research setting.
This Machine Learning Scientist position is on the data science team at DZD, which is responsible for training machine learning models to predict antimicrobial resistance from genomic sequencing data and generally supporting data analytics across the company. The Machine Learning Scientist can expect to be involved in the planning and execution of model R&D (featurization, model specification and training, performance analysis, etc), as well as ad hoc analytics work and preparing models for deployment into production. As an experienced researcher, the team will rely on your ability to take broad questions and turn them into actionable research programs and search the literature for appropriate approaches. Much of the work will involve interactions with our software engineering and computational biology teams, and being able to work both collaboratively and independently are key.