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$65K

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How much do crg jobs pay per year?

As of Aug 12, 2026, the average yearly pay for crg in the United States is $103,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by CRGs in managing multiple studies simultaneously?

Clinical Research Coordinators often manage several studies at once, which can lead to challenges such as prioritizing tasks, staying compliant with different study protocols, and maintaining accurate documentation for each project. Balancing the needs of various investigators and sponsors while ensuring participant safety and regulatory adherence can be demanding. Effective time management, strong organizational skills, and clear communication with the research team are key to overcoming these challenges and ensuring successful study outcomes.

What are the key skills and qualifications needed to thrive as a CRG?

To thrive as a Clinical Research Coordinator, you need strong knowledge of clinical research protocols, regulatory compliance, and typically a degree in life sciences or a related field. Familiarity with clinical trial management systems (CTMS), electronic data capture (EDC) tools, and good clinical practice (GCP) certification are commonly required. Excellent organizational, problem-solving, and interpersonal communication skills help manage study logistics and participant relationships. These skills ensure efficient, ethical, and accurate execution of clinical studies, which is critical for advancing medical research.

What is a CRG?

CRG typically stands for Clinical Research Group or Clinical Research Coordinator Group, but it can also refer to specialized roles in recruitment or consulting. In healthcare and life sciences, CRG jobs involve managing and overseeing clinical trials, ensuring compliance with protocols, and collecting data for research studies. Responsibilities may include coordinating with investigators, maintaining study documentation, and ensuring participant safety. These roles require strong organizational skills and attention to detail, as well as knowledge of regulatory requirements. CRG jobs are essential in advancing medical research and improving patient care.

What is the difference between Crg vs Clinical Research Coordinator?

AspectCrgClinical Research Coordinator
Required CredentialsTypically a bachelor's degree, certifications like CCRP or CCRCUsually a bachelor's degree, certifications like CCRP or CCRC
Work EnvironmentResearch facilities, hospitals, pharmaceutical companiesHospitals, clinics, research sites
Employer & Industry UsagePharmaceutical companies, biotech firms, research institutionsHospitals, academic medical centers, research organizations
Common Search & ComparisonCrg vs Clinical Research Coordinator

Both Crg and Clinical Research Coordinator roles involve managing clinical trials, requiring similar credentials and work environments. While Crg may be a specialized or regional term, both titles are often used interchangeably in the industry, focusing on coordinating research activities and ensuring compliance with protocols.

More about Crg jobs
What cities are hiring for Crg jobs? Cities with the most Crg job openings:
What states have the most Crg jobs? States with the most job openings for Crg jobs include:
What job categories do people searching Crg jobs look for? The top searched job categories for Crg jobs are:
Crg jobs near you
Infographic showing various Crg job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 91% Physical, 5% Hybrid, and 4% Remote job distribution, with an average salary of $103,596 per year, or $49.8 per hour.

Senior Director, AI Platform Architecture

Thermo Fisher Scientific

GA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 423 frontline employees who took The Breakroom Quiz

200th of 538 rated manufacturers

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

At PPD, Thermo Fisher’s clinical research group (CRG), we’re using digital innovation, data science, and AI to reimagine how life-changing therapies reach patients. Our teams combine deep scientific expertise with advanced analytics, automation, and digital platforms to make research smarter, faster, and more connected.

We know that innovation happens when diverse minds meet. Our Digital Science, Data, and AI professionals collaborate closely with scientists, clinicians, and operational experts to solve real-world challenges in clinical research. Alongside our partnership with Open AI, you can be part of the collaboration that will help to improve the speed and success of drug development, enabling customers to get medicines to patients faster and more cost effectively.

About the Team:
CRG Digital AI is the engine that translates our digital strategy into scalable, production-ready AI capabilities that drive measurable business impact. Operating in close partnership with Product, Data, and Engineering, the team embeds AI across our digital portfolio to accelerate clinical trial execution, enhance data-driven decision-making, and unlock differentiated value for our customers. Through a combination of centralized platforms, standards, and federated execution, CRG Digital AI enables rapid innovation while ensuring consistency, quality, and responsible AI practices.

About the Position: 
Reporting to the VP, Head of Analytics and AI, the Senior Director, AI Platform Architecture is a senior leadership role within CRG Digital responsible for defining, building, and scaling the foundational AI platform that enables the rapid development, deployment, and operation of AI-enabled products and solutions across CRG. This leader owns the end-to-end AI platform strategy, architecture, and delivery model—ensuring that AI capabilities are scalable, reusable, secure, and production-ready.

Operating at the intersection of Applied AI (AAI), Data Platforms, and Digital Engineering, this role serves as the backbone of CRG’s AI ecosystem—providing the tools, infrastructure, standards, and services required to accelerate AI innovation while maintaining governance, compliance, and operational excellence. The Director will enable both centralized and federated AI execution, empowering product and engineering teams to build AI solutions efficiently and consistently.

Key Responsibilities:
AI Platform Strategy & Ownership

  • Define and execute the AI platform strategy and roadmap, aligned to CRG Digital and AI priorities 
  • Establish the AI platform as a shared capability layer supporting all AI-enabled products and workflows 
  • Ensure alignment with enterprise architecture, data platform (MDP), and security strategies 
  • Drive a platform-first approach to AI development, enabling reuse and scalability across domains 

Platform Architecture & Engineering

  • Lead the design and development of the AI platform architecture, including:
  • Model development, training, and deployment frameworks
  • MLOps and LLMOps pipelines
  • Model serving, monitoring, and lifecycle management 
  • Integration with data platforms (e.g., Snowflake, Databricks) 
  • Ensure platform supports GenAI, agentic workflows, and traditional ML use cases 
  • Establish standards for performance, scalability, reliability, and cost efficiency 

Reusable AI Capabilities & Tooling

  • Build and scale reusable AI components, including: 
  • Model libraries and templates 
  • Prompt frameworks and orchestration tools 
  • Workflow automation and agent frameworks 
  • Enable rapid development through self-service tools and developer enablement 
  • Reduce duplication and accelerate time-to-market through standardization and reuse 

MLOps, Governance & Responsible AI Enablement

  • Establish and operationalize AI lifecycle management practices, including: 
  • Model versioning, validation, deployment, and monitoring 
  • Performance tracking and drift detection 
  • Partner with AI Risk/Governance teams to embed compliance, security, and responsible AI principles into the platform 
  • Ensure auditability, traceability, and adherence to regulatory and enterprise standards 

Federated AI Enablement

  • Provides self-service platform capabilities to AI Engineering; ensures adoption through ease-of-use and standardization
  • Enable a federated AI model, allowing domain/product teams to build AI capabilities while leveraging centralized platform standards 
  • Provide tooling, frameworks, and guardrails to ensure consistency and quality across distributed teams 
  • Act as a central enablement layer supporting both AAI and product-aligned engineering teams 

Cross-Functional Integration

  • Partner closely with: AAI (Applied AI) for solution design and AI architecture, Data Platforms for data ingestion, quality, and readiness and Digital Engineering for product integration and delivery 
  • Ensure seamless integration of platform capabilities into AI products and workflows 

Partner & Ecosystem Management

  • Define and manage relationships with technology vendors and platform partners (e.g., cloud, AI tooling providers) 
  • Evaluate and integrate emerging AI technologies and tools into the platform ecosystem 
  • Optimize the balance between build vs. buy vs. partner decisions 

Team Leadership & Capability Building

  • Lead a high-performing team of AI platform engineers, MLOps specialists, and platform architects 
  • Define skills, roles, and career paths for AI platform talent 
  • Drive capability building in AI engineering, platform operations, and emerging AI technologies 
  • Foster a culture of innovation, reliability, and continuous improvement 

Measures of Success:

  • Adoption and utilization of the AI platform across CRG Digital teams 
  • Reduction in time-to-deploy AI solutions and increased development velocity 
  • Increased reuse of AI components and platform capabilities 
  • Strong performance of AI systems (reliability, scalability, cost efficiency) 
  • Effective implementation of AI governance and lifecycle management practices 
  • Development of a scalable and high-performing AI platform organization 

Qualifications:

  • Bachelor’s degree required; advanced degree preferred (computer science, engineering, AI/ML, or related field) 
  • 12 years of experience in software engineering, data platforms, AI/ML engineering, or platform leadership roles 
  • Proven track record of building and scaling AI/ML platforms or data platforms in enterprise environments 
  • Strong understanding of AI/ML and GenAI technologies, MLOps/LLMOps practices and Cloud platforms and modern data architectures 
  • Experience operating in complex, matrixed organizations with cross-functional stakeholders 
  • Experience in regulated environments (healthcare/life sciences) preferred 

Knowledge, Skills, and Abilities:

  • Deep technical and strategic understanding of AI platform architecture and operations 
  • Strong systems thinking with ability to balance innovation, scalability, and governance 
  • Ability to translate platform capabilities into business and product impact 
  • Strong leadership and team-building capabilities 
  • Excellent stakeholder management and ability to influence across Product, Data, AI, and Engineering teams 
  • Ability to operate in a fast-paced, evolving technology landscape 


At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:

  • Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.
  • Able to work upright and stationary for typical working hours. 
  • Ability to use and learn standard office equipment and technology with proficiency.
  • Able to perform successfully under pressure while prioritizing and handling multiple projects or activities. 
  • May require as-needed travel (0-20%). 


Band 9 level role

Location: Remote US (east coast preference). Relocation assistance is NOT provided.  

*Must be legally authorized to work in the United States without sponsorship. 
*Must be able to pass a comprehensive background check, which includes a drug screening.

Compensation and Benefits

The salary range estimated for this position based in North Carolina is $167,500.00–$278,000.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs

  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement

  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

  • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

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