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6 часов назад

Senior Data Analyst III (AI Evaluation)

115 400 - 192 200$
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
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Описание вакансии

Текст:
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TL;DR
Senior Data Analyst III (AI Evaluation): Building analytics frameworks, metrics, and monitoring systems to evaluate generative AI models used in healthcare decision-making tools with an accent on model performance, output quality, clinical relevance, and compliance. Focus on defining evaluation methodologies, analyzing sensitive healthcare data, conducting AI output QA, and mitigating risks related to HIPAA, PHI, and PII.

Location: Home-based in New York

Salary: $115,400–$192,200 annual base pay for home-based New York; New York City: $125,900–$209,700; Rochester, NY: $104,900–$174,700. Eligible for an annual incentive bonus.

Company

hirify.global provides information, analytics, and evidence-based solutions supporting scientific research, healthcare education, and clinical practice.

What you will do

  • Lead requirements gathering and develop analytics frameworks for evaluating generative AI models in healthcare applications.
  • Define the strategic direction for AI evaluation methodologies within the product area.
  • Manage the analytics roadmap, evaluation timelines, and deliverables with internal and external stakeholders.
  • Develop and deploy queries and metrics to assess model performance and output quality.
  • Create and maintain data models for AI evaluation frameworks and monitoring systems.
  • Conduct quality assurance of AI outputs and participate in risk analysis and mitigation, including considerations for HIPAA, PHI, and PII.

Requirements

  • 6–9 years of relevant experience in data analytics.
  • Bachelor’s degree in mathematics, science, or a related field; a Master’s degree or PhD is preferred.
  • Experience developing evaluation frameworks and leading enterprise-wide analytics strategy and project implementation.
  • Expertise querying relational database management systems such as Microsoft SQL Server, Snowflake, or PostgreSQL.
  • Expertise with BI tools such as Tableau or Power BI.
  • Demonstrated experience using Python for analysis.

Culture & Benefits

  • Flexible working hours to support productivity and work-life balance.
  • Wellbeing initiatives, family leave, and tuition reimbursement.
  • Comprehensive health plan, disability insurance, life and accident insurance, and spending accounts for dependent care and commuting.
  • Retirement benefits, including a salary investment plan and employer stock purchase plan.
  • Modern family benefits, including adoption and surrogacy support.
  • Inclusive, collaborative, agile, and innovative work environment.

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