Назад
Company hidden
2 дня назад

Clinical Content Associate Director (Clinical AI)

173 500 - 310 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Clinical Content Associate Director (Clinical AI): Developing the scientific evidence base and external publications for a clinical AI platform with an accent on clinical research, evidence generation, scientific writing, and quantitative data interpretation. Focus on evaluating AI-enabled clinical decision support, translating complex findings into rigorous scientific communications, and leading cross-functional publication and validation initiatives.

Location: U.S. locations only; remote or hybrid. Physicians within 50 miles of a hirify.global office may be considered for hybrid employment, while other clinicians are hybrid to office locations. Candidates outside commuting distance may be considered for remote employment. Hybrid employees attend the office 8 days per month. Minimal travel; onsite interviews may be required.

Salary: $173,500–$310,000 USD, plus bonus eligibility.

Company

hirify.global develops UpToDate® and other professional information and technology products, including a clinical AI platform.

What you will do

  • Execute publication initiatives for the clinical AI platform and lead or coordinate manuscripts, abstracts, posters, presentations, white papers, protocols, evidence summaries, and scientific reports.
  • Identify publication opportunities and translate clinical, statistical, and technical findings into accurate scientific narratives, tables, figures, visualizations, and executive summaries.
  • Design and execute studies evaluating the performance, safety, reliability, and clinical relevance of AI-enabled clinical decision support.
  • Interpret quantitative analyses and assess bias, confounding, missing data, generalizability, statistical uncertainty, unsupported inference, evidence gaps, and claim substantiation.
  • Contribute to clinical AI evaluation methods covering clinical appropriateness, evidence alignment, reasoning quality, completeness, safety, usability, and potential harm.
  • Coordinate academic, clinical, professional-society, regulatory, legal, compliance, product, and technical collaborations while maintaining scientific and publication quality.

Requirements

  • Advanced degree in medicine, public health, epidemiology, biostatistics, health services research, biomedical informatics, outcomes research, or a related field; relevant degrees include MD, PhD, DrPH, MPH, MS, or equivalent.
  • At least 8 years of relevant experience in clinical research, clinical trials, evidence generation, scientific publications, medical communications, or a related scientific discipline.
  • Experience independently leading complex scientific or publication projects within defined objectives.
  • Experience authoring or leading peer-reviewed manuscripts, scientific reports, abstracts, presentations, or comparable scientific deliverables.
  • Strong understanding of clinical trial design, observational research, validation studies, statistical analysis, and clinical data interpretation.
  • Experience with quantitative datasets and collaboration with biostatisticians, data scientists, epidemiologists, or clinical researchers.
  • Experience translating complex scientific and analytical findings into clear written and visual communications.
  • Familiarity with artificial intelligence, machine learning, generative AI, clinical decision support, biomedical informatics, or digital health.
  • Experience working across clinical, scientific, technical, and business functions in a matrixed environment.
  • Exceptional scientific writing and editing, quantitative reasoning, data interpretation, project leadership, prioritization, organization, cross-functional coordination, and scientific judgment skills.
  • Ability to distinguish evidence from inference, work independently within defined objectives, influence contributors without direct authority, and seek leadership alignment on broader strategic or organizational decisions.

Nice to have

  • Experience evaluating AI-enabled clinical tools, clinical decision-support systems, diagnostic technologies, or digital health interventions.
  • Knowledge of evidence-based medicine, systematic review, clinical guidelines, or clinical content development.
  • Familiarity with AI evaluation methods such as benchmark design, expert review, inter-rater reliability, bias assessment, model validation, and post-deployment monitoring.
  • Experience with real-world evidence, pragmatic studies, comparative effectiveness research, or prospective clinical studies.
  • Experience collaborating with academic investigators, professional societies, clinical experts, or external advisory groups.

Culture & Benefits

  • Full-time employment with remote and hybrid U.S. work arrangements; hybrid attendance is 8 days per month.
  • Benefits include medical, dental, and vision plans, 401(k), FSA/HSA, commuter benefits, tuition assistance, vacation and sick time, and paid parental leave.
  • The role operates in a rapidly evolving scientific and technical environment with collaboration across clinical, research, engineering, editorial, product, and executive functions.
  • High standards are expected for scientific integrity, accuracy, transparency, responsible communication, data verification, authorship, disclosure, and claim substantiation.

Hiring process

  • Candidates must participate in interviews without AI tools, external prompts, AI-generated responses, or third-party support; violations may result in disqualification.
  • Virtual backgrounds must be removed, and in-person interviews may be included. Applicants may be required to appear onsite at a hirify.global office.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →