Job Description

The Senior Director, Clinical Data Intelligence & Medical Monitoring Innovation is responsible for leading business-facing digital and visual analytics, and AI-driven initiatives that modernize clinical data review and medical monitoring within Clinical Development.

Reporting directly to the Senior Director, Head of Clinical Development Learning & Center of Excellence (CoE), this role serves as the strategic bridge between advanced technological capabilities and clinical practice across all therapeutic areas. The primary mission of this role is to drive organizational change management to modernize how study teams review data, monitor patient safety, identify clinical signals, and make real-time decisions using visual analytics and AI-enabled technologies.

This role partners closely with the Heads of Clinical Science (Oncology and Non-Oncology), Clinical TA Leadership, and other key functions such as Data Management, Biostatistics, Statistical Programming, Digital, Data Science, Artificial Intelligence, and Information Technology to define business needs, set priorities, and support delivery of solutions that are practical, compliant, and scalable.

In this capacity, the individual represents Clinical Development in cross-functional forums, collaborating with digital and IT partners to ensure that technical and AI-driven solutions are aligned with the workflows and scientific needs of clinical scientists and clinical directors.

The ideal candidate is an expert, former Clinical Scientist with a minimum of 5 years of hands-on experience in clinical trial design, clinical data review, medical monitoring and execution, combined with deep technical expertise in data visualization, technological innovation and AI, and a passion for teaching these capabilities to others. The successful candidate will be expected to identify opportunities to improve current processes, translate user needs into clear requirements, support implementation of new capabilities, and drive adoption across Clinical Development.

Key Responsibilities:

Business Leadership

• Serve as the Clinical Development business lead for digital, analytics, and AI-enabled capabilities that support clinical data review and medical monitoring.
• Identify and prioritize opportunities where visual analytics, automation, AI, and related digital capabilities can improve patient safety oversight, scientific quality, operational efficiency, and decision-making.
• Partner with Clinical Science leadership and study teams to understand process gaps, user needs, and opportunities for improvement.
• Ensure proposed solutions address clear business problems and provide measurable benefit to study teams.

Clinical Data Review and Medical Monitoring

• Lead efforts to improve how clinical data are reviewed, with a focus on usability, consistency, quality, and timeliness.
• Drive implementation of modern visual analytics and data review capabilities to support earlier identification of safety signals, efficacy trends, protocol deviations, data quality issues, and operational risks.

• Work with Clinical Scientists, Clinical Directors, and study teams to identify opportunities to improve medical monitoring workflows and supporting tools.
• Support the transition from static reports and manual review processes to more interactive and risk-based approaches where appropriate.
• Help define use cases for visual analytics, automated workflows, and other capabilities that support earlier identification of safety issues, efficacy trends, protocol deviations, operational issues, and data quality concerns.
• Ensure solutions support appropriate medical and scientific review and are fit for use in a regulated environment.

Partnership with Head of Clinical Development Learning

• Partner with the Senior Director, Head of Clinical Development Learning to ensure new tools, analytics capabilities, and digital ways of working are supported by appropriate training, communication, and change enablement.
• Provide clear guidance on what users need to understand and be able to do in order to effectively adopt new capabilities.
• Collaborate on change management strategies that support sustained adoption, including input on timing, sequencing, user readiness, and communication of new capabilities.

• Support the Center of Excellence team with subject matter content, demonstrations, and technical context needed to develop effective training and learning materials.
• Ensure implementation plans for new capabilities account for organizational readiness and are coordinated with learning and adoption activities.

Cross-Functional Collaboration

• Represent Clinical Interests: Act as a key partner representing Clinical Development workflows and scientific requirements in cross-functional technological, digital, or AI-driven initiatives.
• Promote User-Centric Design: Partner with enterprise IT and Digital organizations to ensure tools are fit for clinical purpose, user-friendly, and streamlined to support efficient clinical workflows.
• Cross-Functional Influence: Partner with senior leaders in Data Management, Biostatistics, Statistical Programming, Digital, IT, and AI/Data Science to align technical roadmaps with Clinical Development’s operational and scientific reality. Support prioritization and trade-off discussions across functions to align resources and delivery plans.

Implementation and Adoption

• Support implementation of new tools and capabilities across Clinical Development.
• Develop plans for stakeholder engagement, communications, training, and adoption tracking.
• Work with end users to gather feedback, assess effectiveness, and identify opportunities for refinement.
• Promote consistent use of approved tools and processes across studies and programs.
• Share lessons learned and leading practices across teams to improve consistency and efficiency.

Governance and Continuous Improvement

• Support appropriate governance, validation, documentation, and oversight for new capabilities, including AI-enabled solutions where applicable.
• Monitor external developments in clinical data review, medical monitoring, analytics, and AI to inform future planning.
• Establish and track measures of success related to adoption, quality, efficiency, and user experience.
• Identify opportunities for continuous improvement and help build longer-term plans for capability development within Clinical Development.

People Management & Team Leadership

• Direct the Innovation Team: Provide strategic direction, line management, coaching, and professional development for direct reports.
• Resource Allocation: Oversee the team’s project portfolio, aligning innovation efforts with therapeutic area clinical pipelines and CoE strategic priorities.
• Cultivate Technical Excellence: Foster a high-performing culture of scientific curiosity, technical expertise, and collaborative problem-solving within the team.

Essential Leadership Skills

• Identifies emerging opportunities and translates innovative ideas, analytics, and AI-enabled capabilities into practical solutions that improve patient safety oversight, scientific quality, and operational effectiveness.

• Aligns digital and analytics priorities with Clinical Development objectives, balancing long-term capability building with near-term business needs and measurable outcomes.

• Builds strong cross-functional relationships and effectively influences stakeholders across Clinical Development, Data Management, Biostatistics, Statistical Programming, Digital, Data Science, AI, IT, and Quality to achieve shared objectives.

• Leads adoption of new capabilities and ways of working by creating alignment, overcoming resistance, and fostering sustained organizational change across Clinical Development.

• Promotes a culture of continuous improvement by advancing new approaches to clinical data review, medical monitoring, visual analytics, automation, and digital enablement.

• Drives execution with clear accountability, ensuring that capabilities are implemented effectively, governance requirements are met, and business value is realized.

Educational Requirements:

Required (one of the following combinations):

• Doctoral degree (PhD, PharmD, or equivalent scientific/ clinical degree) plus 8 years of combined relevant experience, of which at least 5 years must be within pharmaceutical or clinical development environments.

OR    

• Master's degree in Life Sciences, Biomedical Sciences, Data Science, Health Sciences, or related clinical/scientific field plus 12 years of combined relevant experience, of which at least 8 years must be within pharmaceutical or clinical development environments.

OR

• Bachelor’s degree in Life Sciences, Biomedical Sciences, Data Science, Health Sciences, or related clinical/scientific field plus 15 years of combined relevant experience, of which at least 10 years must be within pharmaceutical or clinical development environments.

Required Experience:

• Minimum of 5 years of direct, hands-on experience working as a Clinical Scientist within a clinical development or pharmaceutical environment is strictly required.

• Deep technical expertise in medical data review, medical monitoring, and end-to-end drug development processes.

• Master-level experience with visual analytics platforms (e.g., Spotfire, elluminate, Tableau, or similar clinical data-review environments).

• Strong technical familiarity with clinical trial data, medical monitoring workflows, and AI/machine learning concepts applied to clinical datasets.

• Proven experience in teaching, mentoring, or coaching others to adopt complex technological or analytical systems.

• Experience working with cross-functional teams to define, develop, and implement business process or technology improvements.

• Experience translating business needs into requirements for digital, analytics, or IT teams.

• Demonstrated ability to work effectively in a matrix environment and influence stakeholders without direct authority.

• Experience leading or supporting implementation and adoption of new tools, capabilities, or ways of working.

• Strong communication, stakeholder engagement, and executive influence skills.

Required Skills:

Artificial Intelligence (AI), Clinical Data Review, Clinical Development, Clinical Research, Drug Development, Line Management, Machine Learning (ML), Medical Data Analysis, Medical Monitoring, TIBCO Spotfire, Visual Analytics

Preferred Skills:

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As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.  As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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The salary range for this role is

$210,400.00 - $331,100.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits.  Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements:

25%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

10/20/2026

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.