Product Manager - Algorithms

Quartet Health

Health Tech

Mid

New York

4 weeks ago

Quartet is a healthcare technology company transforming the way behavioral healthcare is delivered, by making it more accessible and integrated into primary care. Quartet partners with insurers and works with physicians to identify their patients in need of behavioral care, match them to the right care, and support them throughout their journey. We are a team of engineers, data scientists, and clinicians, venture-backed by the very best healthcare tech investors, including GV (formerly Google Ventures). Quartet is currently live in six U.S. markets and growing rapidly.

We're creating a platform to improve outcomes for patients with mental health and chronic medical conditions. We do this in many ways, from identifying patients at risk and routing them to the right specialists to creating a feedback loop between the primary care physicians and behavioral health specialists so they can collaborate on each patient's treatment. These patients are often lost in our healthcare system and don't get the right care at the right time. We want to fix that.

There is increasingly more information about patients and healthcare delivery within our ecosystem. Our data scientists are developing and refining learning algorithms and applying data mining techniques to improve our ability to influence patient and provider behaviors and healthcare outcomes. Our algorithms work with healthcare claims, electronic health records, and data from our applications, for problems such as prediction, classification, clustering. They power recommendations within Quartet's user-facing applications, with the ultimate goal to understand and improve patient's health outcomes.

Quartet is currently seeking a Product Manager for our algorithms and data IP assets. You will own the product strategy, roadmap, and execution plan for Quartet's data pipelines and algorithms. Reporting to the Director of Algorithms, this position will work closely with Data Science, Engineering, Clinical, and the Platform and Application Product Managers to ensure the algorithms we develop support the singular goal of improving patient outcomes. If you're looking to apply hands-on data analytics experience, knowledge of machine learning methods, and a passion for product development, this role is perfect for you.

Responsibilities

  • Understand the algorithm product needs and gather product requirements
  • Develop and enhance algorithm products and launch them on a regular basis
  • Engage closely with the Data Science team to determine the implementation roadmap
  • Maintain product roadmap, aligned with the roadmaps of user-facing products and platform
  • Define and track the success measures for the algorithms
  • Identify new opportunities and define product vision and strategy in ML/AI areas
  • Partner with the platform team to develop the domain model to support ML/AI strategy
  • Maintain an up-to-date understanding of Quartet's data assets
  • Be a strong advocate of Quartet's data and algorithms with cross-functional partners

Qualifications

  • 5+ years of relevant Product Management experience
  • Degree in computer science or engineering
  • Strong ability to multitask and manage deadlines from various stakeholders
  • Exceptional communication and leadership skills with a strong work ethic
  • Experience working closely with internal technical teams
  • Comfort working in an early stage, fast paced, changing environment
  • Prior experience working with data science and data engineering
  • Prior knowledge of healthcare claims and EHR data is a plus

Quartet interview requests and job offers only originate from quartethealth.com email addresses (e.g. jsmith@quartethealth.com). 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: security@quartethealth.com.