We're looking for passionate, self-motivated and daring individuals.

Open Positions

Quantified Health.

We're building technology that quantifies, digitizes, and simulates human physiology.

As healthcare is transformed into an information science, there will be three major limiting factors.

Volume

The volume of quantitative information that can be measured about human physiology, per unit time, per unit cost

Ownership

Patient ownership and control over the information collected about their bodies

Tools

The tools available to doctors for collaboration, tracking and analysis of changes in longitudinal medical data, for both individuals and entire populations

We intend to remove these barriers, and reinvent healthcare to be preventive, personalized and accessible to everyone.

Our Leadership Team

Jeffrey Kaditz

Founder, CEO

Entrepreneur and founder of Affirm, a fintech company focused on bringing transparency to consumer finance. Degrees in Physics and Computer Science from Carnegie Mellon University.

Michael Snyder PhD

Founder

PhD – Chair of Genetics at Stanford and Director of Personalized Medicine, pioneered comprehensive digitization of human biofluids in his iPOP research.

Garry Choy MD

Founder, Chief Medical Officer

MD, MBA - Clinical Radiologist, Assistant Chief Medical Information Officer at Mass General Hospital. Founder of CredSimple.

Chris K. Wensel

Chief Data Officer

Entrepreneur, Distributed Systems Architect, and Open-Source leader. Founder of Concurrent, Inc., and co-founder of Scale Unlimited. Lead of the Cascading data processing platform and ecosystem including the machine learning and data science frameworks Scalding and Cascalog. Committer on many Apache projects.

We are a diverse team of doctors, scientists and engineers building a world where each generation is healthier than the last, and treatable diseases no longer take lives.

Our Advisors

Alex Pines

Glenn T. Seaborg Professor of Chemistry at Berkeley, a Senior Scientist in the Materials Sciences Division of the Lawrence Berkeley National Laboratory and a Faculty Affiliate at QB3--the California Institute for Quantitative Biomedical Research.

Jacob White

Cecil H. Green Professor of Electrical Engineering and Computer Science at the MIT Research Laboratory of Electronics.

Ethan Weiss

Associate Professor of Medicine and Principal Investigator in the Cardiovascular Research Institute at UCSF. Specializes in preventive cardiology and has research and clinical interests in obesity and metabolism, lipid metabolism, and assessment of cardiovascular disease risk.

Vijay Pande

Director of the a16z Bio Fund and Director of the Biophysics Program at Stanford where he is best known for orchestrating the disease research project called Folding@home distributed computing. He focuses on distributed computing and computer-modelling of microbiology.

Athanasios Polymeridis

Assistant Professor at the Center for Computational Data-Intensive Science and Engineering (CDISE), Skolkovo Institute of Science and Technology, Moscow, Russia. Specialises in computational methods for problems in physics and engineering.

Nathan Marz

Expert on large-scale system design, data processing, and distributed systems. Pioneered modern stream processing by creating the Apache Storm project. Writer of the influential book 'Big Data: Principles and best practices of scalable realtime data systems'.

Laura Goetz

General and Colorectal surgeon and Preventive Medicine specialist at Scripps Clinic in San Diego, CA. Specializes in surgical treatment of breast, melanoma and colorectal cancer, as well as cancer prevention strategies in average and high-risk individuals. Research focus is on developing novel multi-omic cancer prevention and early detection strategies.

Nicholas Schork

Professor of Quantitative Medicine at the Translational Genomics Research Institute in Phoenix, AZ; Professor and Director, Human Biology, at the J. Craig Venter Institute (JCVI) in La Jolla, CA; and Adjunct Professor at the University of California, San Diego also in La Jolla, CA.

Elfar Adalsteinsson

Principal investigator in the Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT). Conducts research on medical imaging with magnetic resonance, focusing on optimal methods for acquisition, reconstruction and processing of in vivo imaging data.

Our Investors

We're looking for passionate, self-motivated and daring individuals.

If you want to play a part in reinventing healthcare as we know it, we look forward to hearing from you.