deborah @ dayzerodiagnostics.com

https://www.dayzerodiagnostics.comhttps://www.dayzerodiagnostics.com/team

Deborah Simonds Pagliuca Harvard Life Lab 
127 Western Avenue 
Boston, MA 02134Deborah’s Cell 206 849 8641 Day Zero Diagnostics: combining genome sequencing & machine learning to modernize infectious disease diagnosis and treatment.

DZD named one of the Top 10 Companies to Watch in personalized medicine by Clinical OMICs magazine! https://lnkd.in/gfq3XTM

Day Zero Diagnostics is a rapidly expanding company, and we are looking for motivated, talented individuals to join our team. Our diverse team works in a dynamic, engaging environment and is committed to achieving our goal of substantially improving health outcomes. If you are interested in working in an active environment with driven people let’s have a brief initial conversation.   At DZD, we are developing a sequencing-based rapid diagnostic that identifies, within hours, both the species and the antibiotic resistance profile of a bacterial pathogen. Current approaches take 2-5 days to provide similar information, a time delay that is associated with an 8% increase in death per hour for severe infections. Our diagnostic will enable hospitals to reduce patient length of stay, the overuse of expensive and often ineffective antibiotics, and most importantly, excess mortality. Our diagnostic technologies are focused on three major areas that work in tandem with commercially available whole genome sequencing technologyDay Zero Diagnostics is based out of the Harvard Life Lab next to the Harvard Business School campus. This unique facility provides us with access to state-of-the-art research facilities, a rich community of collaborators, and an energetic workplace in the heart of the world's most active Life Sciences ecosystem

As a Data Scientist, you will work with a senior machine learning research scientist to develop, implement, and optimize state-of-the-art prediction models from bacterial genomics data. We are looking for candidates with a deep interest in speed optimization that requires intimate knowledge of computing hardware and targeted software design.

Candidates will gain experience in a multidisciplinary and fast-paced startup 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.

Responsibilities

Ability to independently carry out various tasks, including:

• Develop and implement algorithms that speed up data processing and machine learning model research.
• Implement numerically optimized CPU/GPU kernels.
• Build statistical and analytical tools to research and support machine learning models.
• Develop, implement, and test machine learning models for predicting phenotypic traits from genomic sequences.
• 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.

• Bachelor's or Master’s Degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, or equiv.
• Fluency in high performance computing (e.g., parallel computing, memory management, OpenMP, CUDA)
• Python, C/C++, Linux; Familiarity with TensorFlow, SQL and git
• Familiarity with neural network models (CNN, RNN, etc.) and machine learning best practices
• 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

All your information will be kept confidential according to EEO guidelines.