Data Scientist - Machine Learning Engineer

Company Description:
Quartet is a mission-driven technology company transforming the way mental healthcare is delivered. We partner with insurers and physicians to make mental healthcare more accessible and integrated into primary care. Our platform relies on advanced analytics, proven treatment programs, and easy to use technology to improve outcomes and total cost of care. We are a team of engineers, data scientists, and clinicians, finding solutions for a broken healthcare system. Venture-backed by the very best healthcare and technology investors, including GV (formerly Google Ventures), Quartet is using this investment to further build its team and expand into 5+ new markets in 2017.

Role Description: 
As a Machine Learning Engineer at Quartet, you will work in collaboration with other data scientists, bioinformaticians and platform engineers. In this role, you will implement statistical machine learning models and recommendation services to enable our applications to suggest timely and appropriate behavioral health care interventions for patients.

You'll work with datasets that include millions of detailed medical, pharmacy, lab claims, EHR, and application data. You will help with development and validation of new algorithms that enhance our system in terms of scalability, reliability and accuracy. 

The ideal candidate will be an entrepreneurial, motivated data scientist who is well-versed in data analysis and algorithm implementation and eager to learn new things and make an impact on the industry. Health data experience is a plus, but it's not necessary. 

Responsibilities

  • Work with an interdisciplinary technical team to develop statistical models in Quartet’s platform.
  • Apply data mining and machine learning techniques to develop better personalization and recommendation for patients’ and doctors’ needs.
  • Design and develop effective models, features, and algorithms involving multiple datasets - user activity, EHR, ADT, medical claims, pharmacy claims, lab test claims etc.
  • Derive insights from descriptive analysis that drive a data-informed process for experimenting with new products to improve patient outcomes.

Qualifications

  • Experience building high quality data products.
  • 3+ years experience as a data scientist, software engineer with predictive modeling, or similar experience of solving real problems with data mining and machine learning techniques.
  • PhD or Master’s Degree in computer science, machine learning, applied statistics, data mining, or a related quantitative discipline. 
  • Proficiency in recommendation systems, NLP, predictive modeling, algorithms, machine learning.
  • Strong knowledge of mathematical fundamentals: statistics, probability theory, markov decision processes, linear algebra.
  • Ability to execute, starting from problem definition, to a working implementation.
  • Ability to clearly communicate across disciplines and work collaboratively. 
  • Proficiency in R, Python and code versioning systems like git.
  • Knowledge of software architectures and tools such as Scala, Hadoop.
  • Familiarity working in a Linux server-based environment.

Quartet has been named among Modern Healthcare's 100 Best Places To Work in 2016! Benefits and perks of working at Quartet include:

  • Medical, dental, vision and life insurance
  • Enhanced mental health benefits
  • Paid membership to One Medical
  • Pre-tax health, transit and dependent care flexible spending accounts
  • Fee-free 401(k) program
  • Unlimited vacation and sick leave, and competitive family leave policy
  • Amazing office with stocked kitchen, weekly yoga, meditation services and regular company gatherings
  • Working with some of the most talented and mission-driven minds in the industry!

Quartet interview requests and job offers only originate from quartethealth.com email addresses (e.g. [email protected]). Quartet will also never ask for bank information (e.g. account and routing number), social security numbers, passwords, or other sensitive information to be delivered via email. If you receive a scam email or wish to report a security issue involving Quartet, please notify us at: [email protected].

Meet Some of Quartet's Employees

Dave L.

Chief Medical Officer

Dave is focused on value-based healthcare through business innovation by building partnerships and driving thought leadership with executives and clinical leaders at large provider systems in all markets.

Nicola K.

Product Lead

Nicola and her team set the vision and strategy for the product to identify unique user needs, then work using an agile process to enable the software to be built.


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