Sent from Scott Wong, D'08 Th'09.





Software Engineering role at the intersection of global health, tech, and open data





Organization



The Human Diagnosis Project (Human Dx<http://www.humandx.org>) is enabling the world’s first open diagnostic system in order to understand the best steps to help any patient. By combining the collective intelligence of doctors with machine learning, Human Dx intends to enable more accurate, affordable, and accessible care for all.





Now the world’s largest open medical project, Human Dx is structured as a partnership between the social, public, and private sectors. Its partners include many of the nation's top medical boards, societies, academic centers (including Harvard, Hopkins, and UCSF), and financial supporters (including Union Square Ventures, Andreessen Horowitz, and the Moore Foundation).





Team



We are currently a team of under ten that is looking to expand considerably with exceptional people who possess a strong sense of social mission. The Team has included alumni from leading organizations (e.g., the World Health Organization, NASA Jet Propulsion Laboratory, Lawrence Livermore Labs, Lincoln Laboratory, Facebook, Amazon, McKinsey & Company, Goldman Sachs, the Blackstone Group, and IDEO) and academic institutions (e.g. , Oxford, Cambridge, Harvard, MIT, Stanford, Berkeley, Yale, Penn, Dartmouth, and Cornell).





Role



Our Engineering function builds and shapes the fundamental technologies that enable the Human Diagnosis Project.





Ideal candidates will:



·         Build unique interfaces and systems around structured data input to allow us to encode highly nuanced medical information with a level of speed, fidelity, and resolution not previously possible.



·         Implement novel and best-in-class techniques in natural language processing, speech-to-text, computer vision, information retrieval, machine learning, and cross-platform evolving user interfaces.



·         Architect, optimize, and scale how Human Dx processes, encodes, structures, and analyzes the world’s collective medical insight within a generalized hypergraph.



·         Iterate on a self-evolving system using active learning, trained from collective human, machine, and organizational agents.



·         Consciously consider how Human Dx will best serve members of the global patient, medical, scientific, and technology communities and to make the Project’s code, documentation, APIs, and applications open and accessible to the world.



·         Ask questions, solicit and relish feedback, iterate quickly, and implement solutions.





Ideal candidates have:



·         A bachelor’s degree (PhD or master’s preferable) in computer science or engineering from a top-tier engineering program. Candidates with less traditional backgrounds (e.g., math, physics, neuroscience etc.) will also be considered, assuming they demonstrate a mastery of software engineering fundamentals.



·         Experience working at a top-tier startup, technology company, academic research group, research laboratory, or other world-class training environment.



·         A commitment to service and a strong desire to help the underserved.



·         Experience working and thriving in early-stage organizations and/or other resource-constrained environments.



·         Eagerness to join a high-performance institution and continually advance their knowledge and skills through self-reflection and feedback.





Location



We currently have presences only in the U.S., in both San Francisco and the Northeast. Training and onboarding will occur in one of these locations for a minimum of three months, subject to background and experience. Afterwards, location can potentially be more flexible.





Start date



Immediate.





Compensation



Commensurate with similar roles at other early-stage organizations.





Applications



Mail your résumé/CV/LinkedIn & GitHub/sample code (sole-authored project, script, algorithm - and brief description of time spent and why chosen) to [log in to unmask]<mailto:[log in to unmask]> and optionally feel free to include any of the following:



·         Concise summary of why you are excited to potentially work with the Team



·         Brief description of any notable work in the community, social, or public sectors



·         Personal projects, website, blog, and/or social media presence



·         Academic papers, research, or other written works (not necessarily published)



  *   Mention of other notable accomplishments, hobbies, and interests not included elsewhere