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Clinical Development Manager Jobs in Elizabeth, NJ

Senior Director, Clinical Development

Parsippany, NJ

$281K - $363K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The role is responsible for shaping clinical development strategy, overseeing execution across ... Demonstrated ability to thrive in a dynamic and evolving environment, effectively managing ...

Work closely with a cross-functional group of experts in commercialization, regulatory affairs, statistics, and manufacturing to manage clinical development projects * Assistthe team in ensuring ...

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Showing results 21-40

Clinical Development Manager information

What are the key skills and qualifications needed to thrive as a Clinical Development Manager?

To thrive as a Clinical Development Manager, you need a solid background in clinical research, project management, and regulatory compliance, typically supported by a life sciences degree and relevant industry experience. Familiarity with clinical trial management systems (CTMS), electronic data capture (EDC) tools, and certifications like GCP (Good Clinical Practice) are commonly required. Strong leadership, problem-solving, and communication skills distinguish top performers in this role. These skills are vital for ensuring successful clinical trials, regulatory approval, and effective cross-functional collaboration.

How does a Clinical Development Manager typically collaborate with cross-functional teams during a clinical trial?

A Clinical Development Manager works closely with various cross-functional teams, including clinical operations, regulatory affairs, data management, and biostatistics, to ensure the successful execution of clinical trials. They facilitate communication between these departments, align project timelines, and address any operational challenges that arise. By fostering collaboration, they help ensure that studies are conducted in compliance with regulatory standards, data is accurately collected and analyzed, and that project milestones are met on schedule.

What is the difference between Clinical Development Manager vs Clinical Research Associate?

AspectClinical Development ManagerClinical Research Associate
Required CredentialsBachelor's or higher in life sciences, often with project management certificationsBachelor's in life sciences or related field, often with clinical research certifications
Work EnvironmentOversees multiple clinical trials, manages teams, and coordinates with stakeholdersMonitors clinical sites, ensures protocol compliance, and collects data
Employer & Industry UsagePharmaceutical companies, biotech firms, CROsResearch sites, CROs, pharmaceutical companies

The Clinical Development Manager focuses on overseeing the entire clinical development process, managing teams, and strategic planning. In contrast, the Clinical Research Associate primarily monitors clinical trial sites and ensures compliance. Both roles are essential in clinical research but differ in scope and responsibilities.

What does a clinical development manager do?

A clinical development manager oversees the planning, coordination, and execution of clinical trials to evaluate the safety and effectiveness of new medical treatments or drugs. They collaborate with cross-functional teams, ensure compliance with regulatory requirements, and manage budgets and timelines using tools like clinical trial management systems. This role typically requires strong project management skills and knowledge of clinical research regulations.

What job categories do people searching Clinical Development Manager jobs in Elizabeth, NJ look for?

The top searched job categories for Clinical Development Manager jobs in Elizabeth, NJ are:

What cities near Elizabeth, NJ are hiring for Clinical Development Manager jobs?

Cities near Elizabeth, NJ with the most Clinical Development Manager job openings:

Infographic showing various Clinical Development Manager job openings in Elizabeth, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Head Clinical Development AI & Technology

Novartis

East Hanover, NJ • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 2 days ago


Novartis rating

7.5

Company rating: 7.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

64th of 86 rated pharmaceutical


Job description

Job Description Summary

Head Clinical Development AI & Technology
Primary Location: London, United Kingdom
Other Locations: Dublin, Ireland; Basel, Switzerland; United States
Relocation Support: Yes
Lead the design and execution of a scalable, enterprise-aligned technology, data, and artificial intelligence strategy for Clinical Development. As Head Clinical Development AI &Tech you will architect and operationalize advanced digital platforms, analytics ecosystems, and artificial intelligence and generative artificial intelligence capabilities to optimize end-to-end clinical development execution from study design through submission. Working at the intersection of clinical science, data engineering, and platform technologies, you will drive integration of structured and unstructured data assets, industrialize artificial intelligence use cases tied to key scientific questions, and ensure compliant, high-performance systems that accelerate evidence generation, optimize delivery, and enable real-time, data-driven decision-making at global scale.


Job Description

Key Responsibilities

  • Define and execute end-to-end technology, data, and artificial intelligence strategy for Clinical Development
  • Act as strategic advisor to senior leadership on digital transformation, automation, and data modernization
  • Deep ecosystem engagement to proactively identify emerging trends and translate them into iterative, impact-driven plans that accelerate Clinical Development
  • Lead delivery of scalable platforms and artificial intelligence solutions across all clinical development capability areas
  • Oversee product roadmaps, lifecycle governance, vendor partnerships, and platform performance
  • Drive identification, prioritization, and industrialization of artificial intelligence and generative artificial intelligence use cases with measurable impact
  • Integrate analytics, automation, and diverse data assets to enable seamless end-to-end clinical workflows
  • Ensure compliance with good clinical practice, data privacy, cybersecurity, and regulatory standards globally
  • Establish robust governance frameworks, operating models, and cross-functional collaboration structures
  • Lead global, matrixed teams across technology, data science, engineering, and platform leadership
  • Drive continuous improvement in delivery quality, release management, and operational resilience

Essential Requirements

  • Advanced degree in Technology, Data Science, Engineering, or Life Sciences or equivalent experience
  • Minimum 10 years of leadership experience within global, matrixed environments in regulated industries such as pharmaceuticals or healthcare
  • Deep expertise in clinical development processes and supporting technology platforms across the full development lifecycle
  • Proven experience designing and scaling artificial intelligence and machine learning solutions in regulated environments
  • Strong knowledge of data architecture, cloud technologies, and enterprise-scale digital platform implementation
  • Demonstrated ability to lead multidisciplinary teams across technology, data science, and engineering functions
  • Strong understanding of regulatory requirements including good clinical practice, data privacy, and data integrity standards
  • Excellent communication and stakeholder engagement skills with the ability to translate complex technical concepts clearly

Desirable Requirements

  • Master of Business Administration or equivalent leadership qualification
  • Experience leading large-scale organisational transformation and artificial intelligence-driven change management initiatives

The salary for this position is expected to range between $ per year. The final salary offered is determined based on factors like, but not limited to, relevant skills andexperience, and upon joining Novartis will be reviewed periodically. Novartis may change the publishedsalary range based on company and market factors.


Your compensation will include a performance-based cash incentive and, depending on the level of therole, eligibility to be considered for annual equity awards.


US-based eligible employees will receive a comprehensive benefits package that includes health, life anddisability benefits, a 401(k) with company contribution and match, and a variety of other benefits. Inaddition, employees are eligible for a generous time off package including vacation, personal days,holidays and other leaves.


To learn more about the culture, rewards and benefits we offer our people click here.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


Salary Range

$303,100.00 - $562,900.00


Skills Desired

Agile (Programming Methodology) (Inactive), Artificial Intelligence (AI), Business Value Creation, Change Management, Cluster Analysis, Curious Mindset, Data Engineering, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategies, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Organization Awareness (Inactive), Stakeholder Engagement, Time Series Analysis, Vision (Inactive)

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