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20 часов назад

Applied Scientist II (Healthcare AI)

158 000 - 190 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Applied Scientist II (Healthcare AI): Building and shipping production algorithmic systems for healthcare decisions, including provider tiering, an AI primary care doctor, and member engagement models with an accent on machine learning, optimization, LLM evaluation, and real-world outcome measurement. Focus on designing objective functions and constraints, productionizing medical-adjacent AI with guardrails, and choosing rigorous approaches for complex healthcare tradeoffs.

Location: New York City office, Financial District; required onsite attendance three days per week on Tuesday, Wednesday, and Thursday.

Salary: $158,000–$190,000 annual base compensation, plus equity incentive and benefits.

Company

hirify.global applies proprietary clinical metrics and healthcare data to help employers guide members toward higher-quality, lower-cost care.

What you will do

  • Ship production algorithmic systems end-to-end, from problem framing and objective definition through launch and iteration.
  • Translate complex healthcare and business constraints into measurable objectives, tradeoffs, and decision frameworks.
  • Define evaluation metrics, validate solutions before launch, and improve systems against real-world outcomes.
  • Select and combine machine learning, optimization, heuristics, expert systems, and rules according to each problem.
  • Build provider tiering optimization, an LLM-based primary care experience, and member engagement models using claims and behavioral data.
  • Produce rigorous analyses, review peer code, communicate findings to senior stakeholders, and deepen understanding of the healthcare economy.

Requirements

  • 2+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent advanced degree.
  • Strong applied problem-solving skills, including defining meaningful metrics and delivering solutions that improve them.
  • Strong command of relevant methods and the data required by models.
  • Sound judgment in selecting statistical models, heuristics, optimization approaches, and simpler algorithmic methods.
  • Strong communication skills and the ability to present work clearly to senior stakeholders.
  • Ability and willingness to work in the New York City office three days per week.

Nice to have

  • Experience with Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling, or evaluation frameworks.

Culture & Benefits

  • Mission-driven work focused on improving healthcare quality and reducing costs.
  • High-performing environment with urgency, individual accountability, and authentic feedback.
  • Flexible paid time off and medical, dental, and vision plan options.
  • 401(k) with company match and flexible spending accounts.
  • Access to Teladoc Health and participation in an equity incentive plan.

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