aipythonsqldata engineeringdata qualityclinical data managementcdisc sdtmcdisc adam
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная зона ответственности для senior-специалиста в AI-healthtech, но без указанной зарплаты сложно оценить условия на фоне рыночного ориентира.
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Зарплата не указанаПонятная зона ответственностиAI в здравоохранении
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Clinical Data Lead (Clinical Data/AI): Owning data quality, structure, and integrity for operational trial data, real-world data, or core clinical data with an accent on CDISC SDTM/ADaM standards and reliable clinical data foundations. Focus on designing domain-specific pipelines with Data Engineering, auditing incoming data, resolving quality risks, and mentoring Clinical Data Engineers.
Location: Hybrid work from the Austin office, United States
Company
hirify.global is a Healthtech company using AI to accelerate drug development and improve patient outcomes.
What you will do
Own data quality, structure, and integrity for operational trial data, real-world data, or core clinical data.
Apply CDISC SDTM and ADaM standards to structure defensible clinical data.
Partner with Data Engineering to design pipelines for domain-specific data sources.
Review and audit incoming data for completeness, accuracy, and compliance.
Identify data quality risks early and drive their resolution.
Mentor Clinical Data Engineers working within the assigned domain.
Requirements
6+ years of experience in clinical data management, biostatistics, real-world evidence, or clinical operations.
Deep hands-on experience in operational trial data, real-world data, or core clinical trial data.
Strong knowledge of CDISC SDTM and ADaM standards.
Ability to partner with engineers and translate clinical domain knowledge into technical requirements.
Excellent written and verbal English communication skills.
Nice to have
Experience mentoring or leading clinical data professionals.
Familiarity with SQL or Python for hands-on data validation.
Background in AI/ML-adjacent data work.
Culture & Benefits
International team with a collaborative and diverse working environment.
Hybrid work model.
MacBook provided for work.
Medical, dental, and vision insurance options.
Benefits package supporting employees and their families.
Company events and a pet-friendly office.
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