Clinical Content Associate Director (Clinical AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: U.S. locations only; remote or hybrid. Physicians within 50 miles of a 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
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 office.
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