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5 дней назад

Applied Scientist (Medtech)

160 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Applied Scientist (Medtech): Building optimization models and decision systems to match clinicians with patients for in-home care with an accent on logistics, supply-demand matching, and operational constraints. Focus on translating ambiguous operational problems into production-ready algorithms, forecasting models, and simulations to improve healthcare access and efficiency.

Location: Must be based in or able to commute to San Francisco, CA (Hybrid: Mon-Thu in-office).

Salary: $160,000 – $220,000

Company

hirify.global is a healthcare startup reimagining access to care by delivering medical services directly to patients' homes using advanced logistics technology.

What you will do

  • Transform ambiguous operational challenges into well-posed optimization, forecasting, or simulation tasks.
  • Develop and deploy solutions across operations research and machine learning to improve clinician utilization and patient access.
  • Design offline evaluations, backtests, and live experiments to measure real-world operational impact.
  • Collaborate with engineering to productionize decision systems and ensure reliability.
  • Partner with operations and product stakeholders to validate assumptions and communicate model tradeoffs.

Requirements

  • Strong foundations in operations research, optimization, and experimental design.
  • Proficiency in Python and SQL, including standard optimization and ML libraries.
  • Ability to translate ambiguous problems into actionable technical tasks and analyze related literature.
  • Experience with AI coding assistants like Claude Code or Cursor.
  • Must be able to work from the San Francisco office Monday through Thursday.

Nice to have

  • MS or PhD in a quantitative field such as operations research, industrial engineering, or applied math.
  • Experience with vehicle routing, scheduling, stochastic optimization, or queueing theory.
  • Hands-on experience with supply-and-demand matching in marketplace or field-operations settings.
  • Proven track record of shipping optimization systems to production.

Culture & Benefits

  • Meaningful pre-IPO equity.
  • Comprehensive medical, dental, and vision plans 100% paid for employees and dependents.
  • 401(k) with company match and HSA/FSA contributions.
  • Flexible PTO plus 10 paid holidays and parental leave.
  • Free daily lunch in-office with team-building activities.
  • Annual learning stipend for professional development.

Hiring process

  • Recruiter screen and hiring manager introduction.
  • Hands-on technical assessment.
  • Onsite interview including systems design, research presentation, and behavioral interview.

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