johnpaulett

Rad AI is a SF based Series A Generative AI Radiology startup with a remote team, of about ~ 40 engineers and machine learning scientists. We are applying large language models and state-of-the-art machine learning to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care.

We're looking for a hands-on Engineering Manager experienced with Python, Typescript, and React to play a pivotal role in helping us scale and prioritize our engineering teams. This will be a 50% individual contributor role with the other 50% focusing on management, meaning we're looking for someone who is willing to dive into technical strategy and problems whenever needed.

To Apply: https://jobs.lever.co/radai/81da5c19-00bc-4f80-b2ab-8969a336...

Rad AI is a SF based Series A Generative AI Radiology startup with a remote team, of about ~ 35 engineers and machine learning scientists. We are applying large language models and state-of-the-art machine learning to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care.

Senior Full Stack Engineers: We are seeking a handful of Senior Engineers experienced with Python, Typescript, and React to work on continuing to develop our 2nd product, Continuity and to help us build our 4th product line from the ground up.

VP of Engineering: We are seeking a dynamic and hands-on engineering leader to play a pivotal role in scaling our software and machine learning teams. The team consists of ~ 35 engineers, however, we have ambitious expansion plans in mind and we aim to double our engineering team within the next 12-18 months.

Learn more: https://jobs.lever.co/radai

Pre-launch healthcare tech startup, led by seasoned healthcare entrepreneurs, looking for the third engineer to join our team developing and deploying a Python & Javascript application.

* Strong Python engineering skills with a thorough understanding of the ecosystem and best practices.

* Ability to design and run production containerized applications in Kubernetes (GKE).

* Experience with healthcare protocols (DICOM, HL7) and developing software with healthcare regulatory and security requirements (HIPAA & HITRUST).

* Understanding of machine learning, particularly around deploying and scaling solutions.

Experienced generalist who can collaboratively work across the product spectrum with our team and early customers to deliver a new, high-quality product to market.

Position includes salary, stock options, & benefits.

Email [email protected].

Nuance Communication's Healthcare group is looking for a Senior Full-stack Python Engineer to join the team building the Montage Search & Analytics product. Montage is a data science framework that allows clinicians, healthcare administrators, researchers, and analysts to ask complex questions about healthcare data and obtain answers that improve patient and financial outcomes. Contribute to both the backend Python application and frontend Javascript interface.

The position can be fully remote, as noted on the Apply Now page.

For the full job description and to apply, visit https://jobs.nuance.com/job/burlington/principal-software-en...

  Commercial Aviation (per 100,000 flight hours): 0.022
  General Aviation (per 100,000 flight hours): 1.11
  Motor Vehicle: (per 100 million miles): 1.5

1: http://enhs.umn.edu/current/injuryprevent/aviation/magnitude...

One less in the race with Uber, Lyft, et al.

http://www.nytimes.com/2009/01/15/business/worldbusiness/15i...

Python Software Developer: Using Python / Django to develop and support our medical NLP and analytics product. Startup with full benefits. Full description at http://montage.theresumator.com/

Apply at http://montage.theresumator.com or email john at montagehealthcare.com.

http://git-scm.com/2010/03/08/rerere.html

https://www.kernel.org/pub/software/scm/git/docs/git-rerere....

Python Developer

Healthcare is filled with unstructured and partially structured data. Join the Montage Healthcare Solutions engineering team to develop the next generation of tools that will unlock the knowledge within this data, improve care and lower costs. Montage Healthcare Solutions is looking for talented Python developers to help bring full-text search and analytics to healthcare.

Responsibilities

* Build an easy-to-use, cross-browser web front-end.

* Implement natural language processing algorithms.

* Design REST APIs.

* Optimization for large data sets.

Skills

* Strong background in Python web development. Experience in Django, Celery, South, & NLTK a plus.

* Strong understanding of SQL, specifically PostgreSQL and SQL Server.

* Knowledge of front-end tools and languages, such as HTML5, CoffeeScript, Javascript, jQuery, CSS, and LESS.

* Strong background in development best practices, including unit & functional testing and modern distributed version control systems.

* Experience working with healthcare data & protocols (e.g. HL7) is a plus.

* Experience with natural language processing and full-text search (e.g. Lucene, Solr, ElasticSearch, Sphinx, Xapian, Whoosh) is a plus.

Benefits

* Stock Options

* Competitive Salary

* Medical insurance

* Vacation days

* Remote working is feasible

http://montage.theresumator.com/ or contact me directly (details in profile)

From Wikipedia [1]: Homomorphic encryption is a form of encryption where a specific algebraic operation performed on the plaintext is equivalent to another (possibly different) algebraic operation performed on the ciphertext

[1]: http://en.wikipedia.org/wiki/Homomorphic_encryption

Debian packages can already hook the upstream's test suite (e.g. via dh_auto_test).

From my (extremely limited and mostly dynamic language) Debian packaging experience, it seems that more often than not, packages do not use this existing hook. Not sure why that is though.

Hopefully the device-to-Amazon connection is secured by Amazon, but I can not find any details.

The privacy implications of all SSL traffic being decrypted on AWS are a bit scary.

I am guessing the end user will never see broken SSL certificate warnings (as you would expect in a regular browser), since Amazon can add a "Amazon MITM" root CA certificate to the browser.

    What about handling secure (https) connections?
    We will establish a secure connection from the cloud to the site owner on your behalf for page requests of sites using SSL (e.g. https://siteaddress.com). 

    Amazon Silk will facilitate a direct connection between your device and that site.  Any security provided by these particular sites to their users would still exist.

There is an Android port (https://github.com/matburt/mobileorg-android/wiki/) that is nearly identical to the iOS version as far as I can tell from using them both.

  connection[app.config['MONGODB_DATABASE']].mycollection.find_one()

  import unittest
  def setUp(self):
    myapp.app.config['MONGODB_DATABASE'] = 'test'
    self.app = myapp.app.test_client()

  def tearDown(self):
    # can clean up here, e.g.
    connection.test.drop_collection('mycollection')

For testing a MongoDB database, I wrote a simple unittest.TestCase subclass that in the setUp and tearDown, creates and then deletes a test database.

My team made a simple file sharing application, http://nodeknockout.com/teams/done-js. Our app does not host the upload, it merely connects the sharer to clients over HTTP.

I would bet that once 1.2 is released at least several reusable apps pop up that implement various sharding/partitioning strategies.