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

Wolters Kluwer; United States; Hybrid; USD 174,000 - 310,000; Full time

Benefits offered by this job

Medical, Dental, & Vision Plans

401(k)

FSA/HSA

Commuter Benefits

Tuition Assistance Plan

Vacation and Sick Time

Paid Parental Leave

Job summary

Wolters Kluwer is seeking an experienced Scientific Evidence and Publications Associate Director for UpToDate to lead publication initiatives, translate analyses into credible scientific communications, and strengthen the clinical AI platform's evidence base.

You will collaborate with clinicians, biostatisticians, data scientists, engineers, and editors to publish peer reviewed manuscripts, posters, and white papers while ensuring rigorous standards and timely delivery.

Qualifications

• Advanced training in medicine, public health, epidemiology, biostatistics, or related field.
• Experience leading complex scientific projects and publishing peer‑reviewed work.
• Strong ability to translate data into clear scientific narratives.

Responsibilities

• Lead integrated publication plans for the clinical AI platform.
• Coordinate development of peer reviewed manuscripts, abstracts, posters, and white papers.
• Identify high value publication opportunities from platform development and real‑world use.
• Translate complex findings into clear, credible narratives.
• Create tables, figures, and executive summaries with accuracy.
• Manage timelines, authorship plans, and multi‑project coordination.

Skills

Scientific writing

Clinical research

AI/ML understanding

Project leadership

Data interpretation

Education

MD/PhD/DrPH/MPH/MS or related advanced degree

Tools

SAS

R

Job description

Location

U.S. locations – remote/hybrid (8 days a month in the office). For physicians - Candidates within commuting distance of a Wolters Kluwer office will be considered for hybrid employment (within 50 miles of an office). Candidates not within commuting distances will be considered for remote employment. For other clinicians, you will be hybrid to office locations. Please see eligible locations on the posting.

Overview

The Scientific Evidence and Publications Associate Director for UpToDate® will support the development of the scientific evidence base and external credibility of our clinical AI platform. This individual will lead assigned publication initiatives, contribute to evidence development, and translate analytical findings into clear, credible scientific communications. The role sits at the intersection of clinical research, data analysis, scientific communication, and artificial intelligence. The Associate Director will work closely with clinicians, biostatisticians, data scientists, engineers, product leaders, medical editors, academic collaborators, and professional societies to produce rigorous and useful scientific outputs. The successful candidate will bring strong knowledge of clinical research and clinical trial methodology, excellent scientific writing skills, and the ability to interpret data and communicate findings clearly without losing scientific rigor. This is a hands on role requiring independent judgment within defined objectives, leadership of complex scientific projects, and collaboration to apply and advance credible standards for clinical AI.

Responsibilities

Scientific Publications and Communications

• 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 the development of assigned peer reviewed manuscripts, abstracts, posters, presentations, white papers, evidence summaries, protocols, and scientific reports.
• Identify and recommend high value publication opportunities arising from platform development, validation, monitoring, and real world use.
• Translate complex clinical, statistical, and technical findings into clear and compelling scientific narratives.
• Develop effective tables, figures, data visualizations, and executive level summaries.
• Ensure consistency and accuracy in scientific claims, terminology, methods, and interpretation across assigned publications and communications.
• Manage publication timelines, authorship plans, reviews, submissions, and collaboration across multiple concurrent projects; resolve project level issues and seek leadership alignment when priorities or scope change.

Evidence Generation and Data Interpretation

• Partner with clinical, statistical, research, and technical teams to design and execute studies evaluating the performance, safety, reliability, and clinical relevance of AI enabled clinical decision support.
• Contribute to research protocols, analysis plans, validation studies, comparative evaluations, observational studies, and prospective or retrospective clinical research.
• Recommend appropriate outcomes, populations, comparators, evaluation criteria, subgroup analyses, and potential failure modes for assigned studies.
• Review and interpret quantitative analyses generated by 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, and recommend appropriate qualifications or additional supporting work.
• Identify evidence gaps and recommend additional analyses, studies, or collaborations to inform evidence development priorities.

Clinical AI Evaluation

• Develop and apply a strong understanding of the platform’s clinical content, evidence sources, reasoning methods, validation framework, governance, and monitoring processes.
• Contribute to the development and application of methods for evaluating clinical AI, including clinical appropriateness, evidence alignment, reasoning quality, completeness, safety, usability, and potential for harm.
• Distinguish among 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; assess implications for assigned work.
• Recommend opportunities to strengthen evaluation methods, benchmarks, and scientific collaborations, and contribute to approved initiatives.

External Collaboration and Scientific Quality

• 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; seek leadership alignment on issues affecting broader strategy, organizational commitments, or scientific reputation.

Qualifications

Education

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 an equivalent advanced degree.

Experience

• Typically requires 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.

Preferred Qualifications

• 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.
• Knowledge, Skills, and Abilities

Knowledge, Skills, and Abilities

• 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 the 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 the ability to manage 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.

Travel

Minimal #LI-Hybrid

Compensation

Compensation: $173,500.00 - $310,000.00 USD. This role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Benefits

• Medical, Dental, & Vision Plans
• 401(k)
• FSA/HSA
• Commuter Benefits
• Tuition Assistance Plan
• Vacation and Sick Time
• Paid Parental Leave

Full details of our benefits are available upon request.

Equal-Opportunity Statement

We are committed to complying with laws requiring equal opportunity in hiring, promotion, and other employment decisions.

All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, gender identity, transgender status, and sexual orientation), national origin, disability, age, genetic information, veteran status, or any other characteristic protected by applicable law, and we do not tolerate discrimination on any of these bases.

Company Information

Wolters Kluwer reported 2025 annual revenues of €6.1 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs more than 21,000 people worldwide. Our customers work in industries that impact the lives of millions of people every single day. Our mission is to empower our professional customers with the AI powered solutions they need to make critical decisions, achieve successful outcomes, and increase productivity. We deliver trusted, AI powered expert solutions that combine deep domain knowledge, proprietary content, and advanced technology to provide expert validated insights, automate workflows, and drive better outcomes. Today, nearly 70% of our digital revenues come from AI powered solutions, reflecting our strategic focus on embedding AI into professional workflows and delivering measurable productivity gains. We are committed to helping professionals navigate complexity, improve the way they work, and solve critical challenges through cloud based, AI powered platforms that integrate seamlessly into their workflows and ecosystems. Our solutions are designed to deliver impact when it matters most, especially in high stakes environments where accuracy and trust are essential.

With a nearly 190 year legacy, Wolters Kluwer continues to evolve its portfolio of digital solutions and services to meet the changing needs of professionals worldwide, enabling them to work faster, make smarter decisions, and deliver better outcomes. For more information about our solutions and organization, visit www.wolterskluwer.com, or follow us on LinkedIn, Instagram and Facebook.

As a global organization, we recognize that solving a wide range of complex problems requires diverse perspectives and innovative thinking. We know that bringing our best to our customers, communities, and other key stakeholders requires a highly engaged and talented workforce – one that represents the diversity of those we serve and the communities where we live and work. We aim to provide a welcoming environment and equitable opportunities for all employees regardless of background, nationality, race, ethnicity, gender, gender identity, age, sexual orientation, marital status, disability, or religion. This principle is ingrained in our company values and articulated in our Code of Business Ethics. At Wolters Kluwer, you’ll feel valued for your contributions, and you’ll know that your health, safety, and well being are important to us. Our well being benefits provide tools, programs, and resources to help our diverse employees feel healthy, happy, safe, and prosperous. Our global Together we thrive well being program reflects our commitment to supporting colleagues across physical, mental, social, and financial well being.

Wolters Kluwer’s recent recognitions include being named one of America’s Best Large Employers 2026 and America’s Best Employers for Engineers 2026. In 2025, Wolters Kluwer was also recognized by Forbes as one of America’s Best Employers for Women. To ensure we continue to drive innovation that enables us to develop products and services to best serve our customers, we cultivate a workplace culture rooted in mutual respect, bringing forward insights from a wide range of backgrounds, perspectives, and experiences. We are also committed to complying with laws requiring equal opportunity in hiring, promotion, and other employment decisions. All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, gender identity, transgender status, and sexual orientation), national origin, disability, age, genetic information, veteran status, or any other characteristic protected by applicable law, and we do not tolerate discrimination on any of these bases.

Wolters Kluwer has a dedicated team of experienced talent acquisition professionals who are ready to hear what makes you tick and share how Wolters Kluwer can help you achieve your goals and ambitions.