3 дня назад
Senior Clinical AI Data Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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