Clinical Content Associate Director – Clinical AI Scientific Evidence and Publications (UpToDate®)

Wolters Kluwer • Waltham, MA

3d

About The Position

The Scientific Evidence and Publications Associate Director for UpToDate® supports development of the scientific evidence base and external credibility of Wolters Kluwer’s clinical AI platform. The role leads assigned publication initiatives, contributes to evidence development, and translates analytical findings into clear, credible scientific communications. It works at the intersection of clinical research, data analysis, scientific communication, and artificial intelligence, collaborating with clinicians, biostatisticians, data scientists, engineers, product leaders, medical editors, academic collaborators, and professional societies.

This hands-on position requires strong knowledge of clinical research and clinical trial methodology, excellent scientific writing, and the ability to interpret data while maintaining scientific rigor. The Associate Director exercises independent judgment within defined objectives, leads complex scientific projects, and collaborates to apply and advance credible standards for clinical AI.

The position contributes to publication planning and execution; study design and evidence interpretation; evaluation of clinical AI; and collaboration with external scientific partners. The role is based in eligible U.S. locations and is remote or hybrid depending on role type and distance from an office. Physicians within 50 miles of an office may be considered for hybrid employment, while those outside commuting distance may be considered for remote employment. Other clinicians will be hybrid. Travel is minimal.

Requirements

• Advanced degree in medicine, public health, epidemiology, biostatistics, health services research, biomedical informatics, outcomes research, or a related field; relevant degrees may include MD, PhD, DrPH, MPH, MS, or equivalent.
• Typically 8 or more years of relevant experience in clinical research, clinical trials, evidence generation, scientific publications, medical communications, or a related scientific discipline.
• Demonstrated 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 interpretation of clinical data.
• Experience working with quantitative datasets and collaborating 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 skills.
• Strong quantitative reasoning and data-interpretation skills.
• Ability to communicate complex findings simply, accurately, and visually.
• Sound scientific judgment and ability to distinguish evidence from inference.
• Ability to operate independently within defined objectives, recommend approaches to complex issues, and seek leadership alignment on decisions with broader strategic or organizational implications.
• Strong project leadership, prioritization, and organizational skills, including managing multiple concurrent initiatives.
• Ability to influence and coordinate cross-functional contributors without direct authority.
• Ability to collaborate effectively with clinicians, researchers, statisticians, engineers, editors, product leaders, and executives.
• High standards for scientific integrity, accuracy, transparency, and responsible communication.
• Comfort operating in a rapidly evolving scientific and technical environment.

Nice To Haves

• 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, including 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.

Responsibilities

• Contribute to and execute an integrated publication plan for the clinical AI platform aligned with scientific and business priorities established with leadership.
• Lead or coordinate peer-reviewed manuscripts, abstracts, posters, presentations, white papers, evidence summaries, protocols, and scientific reports.
• Identify and recommend publication opportunities arising from platform development, validation, monitoring, and real-world use.
• Translate complex clinical, statistical, and technical findings into clear scientific narratives, tables, figures, data visualizations, and executive-level summaries.
• Ensure consistency and accuracy of scientific claims, terminology, methods, and interpretation across assigned publications and communications.
• Manage publication timelines, authorship plans, reviews, submissions, and collaboration across concurrent projects; resolve project-level issues and seek leadership alignment when priorities or scope change.
• Partner with clinical, statistical, research, and technical teams to design and execute studies evaluating AI-enabled clinical decision support performance, safety, reliability, and clinical relevance.
• Contribute to research protocols, analysis plans, validation studies, comparative evaluations, observational studies, and prospective or retrospective clinical research.
• Recommend study outcomes, populations, comparators, evaluation criteria, subgroup analyses, and potential failure modes.
• Review and interpret quantitative analyses from biostatisticians, data scientists, clinical evaluators, and external research partners.
• Identify issues involving bias, confounding, missing data, generalizability, statistical uncertainty, or unsupported inference, and work with relevant experts to address them.
• Assess whether available evidence supports proposed scientific, clinical, or product claims; recommend appropriate qualifications or additional supporting work.
• Identify evidence gaps and recommend analyses, studies, or collaborations to inform evidence-development priorities.
• Develop and apply understanding of the platform’s clinical content, evidence sources, reasoning methods, validation framework, governance, and monitoring processes.
• Contribute to methods for evaluating clinical AI, including clinical appropriateness, evidence alignment, reasoning quality, completeness, safety, usability, and potential for harm.
• Distinguish model performance, system performance, content quality, clinical reasoning quality, and real-world impact when interpreting and communicating findings.
• Monitor developments in generative AI, clinical decision support, evaluation science, responsible AI, and relevant regulatory and professional standards, and assess implications for assigned work.
• Recommend opportunities to strengthen evaluation methods, benchmarks, and scientific collaborations, and contribute to approved initiatives.
• Develop and maintain relationships with academic investigators, clinical experts, professional societies, research institutions, and other external collaborators in support of agreed scientific priorities.
• Coordinate or contribute to joint research projects, validation studies, advisory boards, consensus panels, conference presentations, and co-authored publications.
• Represent assigned scientific work in meetings and discussions with external experts.
• Apply rigorous standards for scientific review, data verification, authorship, disclosure, claim substantiation, and publication quality.
• Partner with legal, regulatory, compliance, clinical, and product stakeholders to ensure external claims are accurate, appropriately supported, and clearly qualified.
• Exercise independent scientific judgment within established objectives and review processes, and seek leadership alignment on issues affecting broader strategy, organizational commitments, or scientific reputation.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k)
• Flexible spending account (FSA)
• Commuter benefits
• Tuition assistance
• Vacation and sick time
• Paid parental leave
• Bonus eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Director