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3 дня назад

Senior Clinical AI Data Lead (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands
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 Clinical AI Data Lead (AI): Building trustworthy clinical evaluation and annotation datasets by coordinating healthcare professionals, with an accent on expert-network development, rubric design, and clinical data quality. Focus on calibrating annotators, measuring agreement, managing adjudication, and ensuring evaluation data represents real clinical use.

Location: Amsterdam, Netherlands, with around half of the time in the office

Company

hirify.global is a European clinical AI lab developing frontier models and a clinical AI workspace for hospital workflows, including preparation, decision support, diagnostics, and interpretation.

What you will do

  • Build and manage a network of healthcare professionals across Dutch university medical centres, oncology centres, and other institutions.
  • Match clinicians with suitable evaluation and annotation tasks based on expertise and task complexity.
  • Turn Clinical AI, Research, and Product requests into structured programs with defined staffing, processes, scale, timelines, and costs.
  • Design rubrics and guidelines, calibrate annotators, measure agreement, run adjudication, and identify bias in clinical datasets.
  • Work with ML engineers to ensure evaluation data reflects real product use and evolves with changing usage.
  • Manage staffing operations, access, contracts, budgets, and timelines with Recruiting, HR, and Legal.

Requirements

  • Clinical fluency gained through healthcare, clinical research, medtech, CROs, trials, medical affairs, or a related environment.
  • Fluent Dutch and working English, with knowledge of the Dutch healthcare system and the ability to build relationships across Europe.
  • Experience leading complex, multi-contributor programs to deadlines, ideally involving clinical data, research, annotation, or evaluation.
  • Experience with rubric design, calibration, sampling, inter-annotator agreement, and adjudication.
  • Ability to recruit and engage clinical experts and determine the right expertise for each task.
  • Strong communication across healthcare professionals, ML engineering, product, and operations teams.

Nice to have

  • Experience commissioning or managing external annotation vendors.
  • Experience building expert networks across European markets or beyond.
  • Familiarity with LLM-as-judge, reward-model data, sycophancy, verbosity, and reward-hacking.

Culture & Benefits

  • Autonomy, ownership, collaboration, and high standards focused on improving patient outcomes.
  • Competitive salary, pension plan, and 25 vacation days per year.
  • EUR 1000 annual learning and development budget.
  • Flexible working arrangements and an annual commuting subsidy.
  • Team offsites and events.

Hiring process

  • Screening call covering motivation, career goals, and initial fit.
  • Take-home or live working session to design an end-to-end plan for producing trustworthy clinical data on a deadline.
  • Review discussion and onsite presentation of a data, research, or annotation program, followed by conversations with ML, clinical, and operations colleagues.

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