2 Software Engineering positions at Leuko (Boston-based MIT spinout)

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I’m hiring to build out our team at Leuko, looking for Julia-centric people to help develop and implement deep learning/machine vision-based integrated device software and cloud platforms.

We span Leuko out last year from a project we started as postdocs at MIT, making the first ever noninvasive white blood cell monitor for detecting life threatening immunosuppression in chemotherapy patients. You can read more at MIT News!

We’re currently transitioning a validated research codebase (a mixture of Matlab and Python) into a product implementation codebase (focused in Julia).

If either of the two roles below are of interest, reach out to me with a CV at careers@leuko.io or on the Julia slack if you have questions!

About Leuko
Leuko, an MIT Spin-out, is developing the world’s first non-invasive white blood cell monitoring device. White blood cell assessment is a first-line indicator for various medically-relevant situations, ranging from chemotherapy management to the detection of life threatening infections worldwide. This test is currently invasive and not readily accessible - it requires patient travel, blood draws and laboratory infrastructure. This currently limits the frequency of monitoring, which puts patients’ health, and even lives, at risk. Leuko is re-imagining the way to perform these tests without extracting blood and in a portable device. Leuko’s vision is to empower patients and their loved ones, and make their lives better and safer by providing them with broad and immediate access to blood testing. In 2018, our work has been awarded 1st prize at the Startup Worldcup, 1st prize at MassChallenge HealthTech and 1st prize at the M2D2 Medical Device competition.


Role 1: Principal Product Engineer (Boston)

Responsibilities:

  1. Interact with algorithms and software research team, to implement existing research data analysis code into efficient, traceable, robust and fast software fulfilling the specs for our minimum viable product.
  2. Help design and conduct usability and validation studies, and integrate continuous integration testing
  3. Working with the CTO and business stakeholders to develop a product service design & broad product architecture blueprint, in accordance with HIPAA, GDPR etc.
  4. Careful design and implementation of server & data transport infrastructure through robust regulatory-compliant cloud services
  5. Supporting the development & implementation of databases for clinical research (eCRFs etc.)
  6. Work with the technical team to develop an embedded UI/UX & measurement system
  7. Document, communicate and adhere to git control and quality management systems during development

Basic Qualifications:

  • Bachelor’s or master’s degree in computer science, computer engineering, software engineering, information systems or equivalent
  • 3+ years of relevant experience in successful product development roles
  • Proficiency in numerical computing languages including Julia, Matlab, Python
  • Strong on version control, structured development, and issue tracking through git
  • Experience in CI testing implementation (i.e. Travis, Circle, Appveyor)
  • Strong team player, experience working with a diverse cross-functional international team
  • Ability to anticipate and effectively react to engineering, product and customer issues
  • Ability to self-manage, report to the management team and deliver according to a schedule

Preferred Qualifications:

  • Expertise in full stack development for mission critical applications with knowledge of front end, back end and middleware application development
  • Demonstrated diligence in adhering to, and developing, HIPAA-compliant data infrastructure
  • Proficient in HTML5/CSS3, Python, and data transport infrastructure languages AJAX/JS/Angular/Node
  • Experience with efficient handling and transmitting of large data file transfer, both sent from device and received and stored by server
  • Experience in the healthcare/med-tech industry, or the application of complex health technology data
  • Experience development on embedded operating systems (lightweight linux, ARM builds) for single-board/embedded computer systems.
  • Experience with Quality Management Systems for FDA-regulated products

Role 2: Software Engineering Intern (Boston)

Responsibilities:

  1. Helping with the translation of our machine vision/deep learning codebase from research (Matlab & python) to a refined and optimized implementation (primarily Julia-based)
  2. Development of unit tests for converted code
  3. Implementation and maintenance of CI testing and code coverage for developed code

Basic Qualifications:

  • Compliance with Mass Life Science Internship Program (see below)
  • Bachelor’s or master’s degree in computer science, computer engineering, software engineering, information systems or equivalent
  • 2+ years experience with code development in Julia & python. Matlab is a strong plus
  • Strong on version control, structured development, and issue tracking through git
  • Experience in CI testing implementation (i.e. Travis, Circle, Appveyor)
  • Strong team player, experience working with a diverse cross-functional international team

Preferred Qualifications:

  • Experience with deep learning-based image processing (object detection, classification)
  • Experience development on embedded operating systems (lightweight linux, ARM builds) for single-board/embedded computer systems.

Mass Life Science Interns must be either be a Massachusetts resident (able to provide proof of residency), or attend(ed) a college or university located in Massachusetts (able to provide enrollment verification), and must meet one of the following:

  • 2-year/Community College/Certificate students must be enrolled in an Associate’s Degree or Certificate program or completed one within the past year. Continuing Education students are also eligible.
  • 4-year college or university students must have or will complete(d) at least their freshman year the semester before the internship, or have graduated within the past year.
  • Graduate students must be enrolled in a Master’s Degree program or received their Master’s Degree within the past year. Ph.D. and M.D. candidates are not eligible.
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