Назад
Company hidden
14 часов назад

Principal Applied Machine Learning Scientist (Healthcare)

258 720 - 338 100$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Principal Applied Machine Learning Scientist (Healthcare): Leading the development of health trajectory and next-best-action algorithms to predict member outcomes and optimize interventions with an accent on causal decisioning and longitudinal data analysis. Focus on designing reward signals, optimizing intervention policies in a clinical environment, and bridging the gap between ML research and production systems.

Location: Remote (USA)

Salary: $258,720 – $338,100

Company

hirify.global is a virtual-first healthcare provider focused on managing chronic conditions through AI-enabled technology and human-led care.

What you will do

  • Lead research on health trajectory models to predict future member states and risks using longitudinal healthcare data.
  • Design next-best-action algorithms to tailor interventions based on member context and predicted paths.
  • Define objective functions and reward signals to balance clinical effectiveness, fairness, and operational feasibility.
  • Serve as the senior scientific lead for algorithmic rigor, setting standards for problem formulation and evaluation.
  • Mentor data scientists in temporal modeling, reinforcement learning, and causal inference.
  • Collaborate with MLOps and product engineering to productionize research outputs on cloud platforms.

Requirements

  • Ph.D. in Computer Science, Statistics, ML, Biostatistics, or Applied Mathematics (or Master's with significant senior experience).
  • Proven record of delivering novel algorithms or high-impact ML systems in production.
  • Deep expertise in time-series, longitudinal modeling, RL, causal inference, or recommender systems.
  • Strong proficiency in Python and modern ML tooling.
  • Experience deploying models to production using AWS SageMaker or similar cloud platforms.
  • Must be based in the USA

Nice to have

  • Experience in healthcare, digital health, or other regulated industries.
  • Peer-reviewed publications or conference presentations in ML, RL, or Health AI.

Culture & Benefits

  • Remote-first work-from-home culture.
  • Competitive salary, equity grants, and generous annual cash bonuses.
  • Comprehensive health, dental, and vision insurance with high employer contributions.
  • Flexible Time Off and generous parental leave.
  • 401k retirement savings plan and Lifestyle Spending Account (LSA).
  • Mental Health Support Solutions.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →