16 Bit

Our Mission

16 Bit's vision is to augment physicians' diagnostic ability with artificially intelligent clinical prediction and medical image analysis systems. Its ultimate goal is to improve the quality and accessibility of healthcare for all patients.

About

16 Bit is a Toronto-based company founded by two radiology physicians with backgrounds in computer science and engineering. With a unique combination of medical and technical expertise, 16 Bit focuses on solving the most impactful clinical problems facing medicine today.

World-Class Medical Datasets

Partnerships with a wide variety of world-renowned academic and community hospitals as well as private clinics gives us the raw materials to achieve our mission.

Medical Expertise

Founded by Canadian-trained radiologists, 16 Bit is well versed in the challenges facing medicine today and where AI can be leveraged to overcome them.

Advanced Networks and Computation

Amidst a revolution in artificial intelligence, we design custom neural network architectures and train them using state-of-the-art hardware.

Technologies

We are working in the following disease areas to assist radiologists and clinicians to provide better care.

COVID-19

The purpose of this initiative is two-fold. First, to collate a large high-quality clinical dataset on hospitalized COVID-19 patients and make this data freely accessible for the purposes of mobilizing the world's innovators and researchers. Secondly, we aim to use this dataset to develop a clinical tool to predict the course of hospitalized COVID-19 patients in an effort to improve morbidity and mortality as well as improve healthcare resource utilization and predictability at the systems level.

Partner With Us

Osteoporosis

At least 1 in 3 women and 1 in 5 men suffer from an osteoporotic fracture in their lifetime. The current clinically accepted gold-standard to screen for osteoporosis is a dual-energy x-ray absorptiometry (DEXA) scan. 16 Bit plans to change this paradigm with its patent-pending technology which will enable less costly and more ubiquitous population screening for osteoporosis as well as more robust fracture risk stratification. To achieve this, 16 Bit has partnered with the Canadian Multi-Center Osteoporosis Study (CaMos) with funding support from Amgen.

Breast Cancer Screening

1 in 8 women will be diagnosed with breast cancer in their lifetime. Mammography is a well-established modality used to screen for breast cancer. 16 Bit is working on a screening algorithm to triage mammograms and assist radiologists in their interpretation.

Pediatric Bone Age

Pediatric populations frequently require correlation between skeletal maturation and chronological age. Currently, radiographs of hands are used and patients are categorized based on the presence and absence of bony features. This method is dated and cumbersome. 16 Bit participated in the 2017 RSNA Machine Learning Challenge and achieved 1st place.

Try our bone age model

Careers

We are a lean passionate team with a diverse set of backgrounds. We value evidence-based decision making, creativity, grit, and reliability.

Noble Mission

You will be joining a passionate multi-disciplinary team whose core value is to improve healthcare quality and equity for all people around the globe. Your contributions will be invaluable in helping 16 Bit achieve this grand vision.

Lean and Agile Team

Work together directly with the founders and participate in key decision making that will help guide the future direction of 16 Bit.

Flexibility

Work where you are most productive and comfortable.

Open Positions

Data Scientist Toronto

This is what you'll do:

Write Python scripts to prepare large volumes of health data (images, text, tabular) for machine learning experiments.
Create, extend, and maintain large databases of health data.
Collaborate with the founders and technical team to architect neural network architectures specifically suited for the target applications.
Write well-crafted, well-tested, readable, maintainable code.
Assist in conducting controlled machine learning experiments and hyperparameter searches.
Assist in researching state-of-the-art approaches to image classification/segmentation, hyperparameter tuning, custom loss functions, and survival analysis.
Full stack development experience in front-end, web, and mobile would be considered an asset.

This is what you need:

Masters and/or PhD in computer science, engineering or related field.
3+ years professional software development experience.
Fluent in the Python programming language.
knowledge and understanding of algorithms and data structures, and of evaluating their time and space complexities
Experience with major machine learning frameworks such as PyTorch and Tensorflow.
Strong command of the Linux terminal.
Able to work well independently and in a small team.
Exceptional communication skills fit for a distributed team.
Superior time management abilities.
Systematic approach to problem solving.

This would be good to know about:

Experience working at an early stage startup.
Experience applying machine learning to health data.
Academic publication process.
Experience with handling sensitive health information in a HIPAA compliant environment.
How to build great UI and UX.
HTML/CSS/Javascript.
API development.
Designing, deploying and maintaining relational and non-relational databases.
Cloud computing platforms (AWS, Azure, GCP).
Mobile App development (Android/iOS).

To apply for this position, please contact us with a short personal statement and we will request your resume.

Product Manager Toronto

This is what you'll do:

Ensure the smooth and efficient day-to-day operation of research and data collection activities.
Interface with the research department, IT department, and legal department of healthcare facilities on behalf of 16 Bit. More specifically, this will include:

Writing REB applications
Writing Data Transfer Agreements
Coordinating with hospital legal departments
Coordinating with hospital research institutions

Interface with granting agencies on behalf of 16 Bit. More specifically, this will include:

Writing grant applications and study protocols for new projects
Writing and submitting support documentations for ongoing grants

Provide internal and external administrative support to 16 Bit research projects and initiatives.
Market analysis, marketing, and/or health regulatory experience would be considered an asset.
Regulatory experience in healthcare software or medical devices would be considered an asset.