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Pharmacovigilance Data Analyst Jobs (NOW HIRING)

R3tek

Clinical Data Analyst

Hillsborough, NJ · On-site

Conduct data analysis, visualization and data modeling based on report design in clinical data models including ambulatory, laboratory, pharmacology and immunology . May travel and relocate to ...

R3TEK

Clinical Data Analyst

Hillsborough, NJ · On-site

Conduct data analysis, visualization and data modeling based on report design in clinical data models including ambulatory, laboratory, pharmacology and immunology. May travel and relocate to various ...

Collabera

Safety Systems Analyst

Jersey City, NJ · On-site

... Pharmacovigilance data collection, data analysis, report generation, and submission tracking. This role facilitates user requirements gathering, implements user requirements and acts as a technical ...

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How much do pharmacovigilance data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for pharmacovigilance data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a pharmacovigilance data analyst?

A Pharmacovigilance Data Analyst is responsible for collecting, analyzing, and interpreting data related to drug safety and adverse events. They ensure compliance with regulatory requirements by identifying potential safety concerns and trends in patient-reported data. Their role involves working with databases, generating reports, and supporting pharmacovigilance teams in risk assessment and decision-making. Strong analytical skills, attention to detail, and knowledge of regulatory guidelines are essential for this role.

What are the typical daily responsibilities of a pharmacovigilance data analyst?

Pharmacovigilance Data Analysts are responsible for collecting, analyzing, and interpreting data related to drug safety, including adverse event reports and clinical trial findings. On a daily basis, they review case data in safety databases, perform statistical analyses to identify potential safety signals, and prepare regulatory submissions or periodic safety reports. They often collaborate with medical reviewers, regulatory affairs professionals, and other data analysts to ensure the accuracy and completeness of safety data. This multidisciplinary teamwork is essential for meeting stringent regulatory requirements and supporting the ongoing monitoring of pharmaceutical products.

What are the key skills and qualifications needed to thrive as a pharmacovigilance data analyst?

To thrive as a Pharmacovigilance Data Analyst, you need a strong background in life sciences, statistics, and data analysis, often accompanied by a relevant degree and experience in pharmacovigilance or drug safety. Experience with safety databases (such as Oracle Argus or ARISg), statistical software (like SAS, R), and familiarity with regulatory guidelines and coding systems are usually required. Attention to detail, effective communication, and critical thinking are important soft skills to excel in this field. These competencies ensure accurate safety data analysis, timely reporting, and strong collaboration with cross-functional teams to uphold patient safety and regulatory compliance.

More about Pharmacovigilance Data Analyst jobs
What are the most commonly searched types of Pharmacovigilance Data Analyst jobs? The most popular types of Pharmacovigilance Data Analyst jobs are:
What states have the most Pharmacovigilance Data Analyst jobs? States with the most job openings for Pharmacovigilance Data Analyst jobs include:
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Pharmacovigilance Data Analyst jobs near you
Infographic showing various Pharmacovigilance Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Sr. Techno-Functional SME - Pharmacovigilance, Data & AI

Pozent Corporation

Raritan, NJ • On-site

Other

Posted 5 days ago

Job description

Position: Sr. Techno-Functional SME-Pharmacovigilance, Data & AI
Location: Raritan, NJ (Hybrid)
Start date: ASAP
Emp Type: Full-Time or C2H
About the Role
We are seeking a highly experienced Senior Techno-Functional Subject Matter Expert (SME) with deep expertise in Pharmacovigilance (PV), Drug Safety, and Risk Management, combined with strong knowledge of Data, Analytics, Artificial Intelligence, and modern digital technologies. This role will bridge business and technology teams, driving transformation initiatives across pharmacovigilance operations, regulatory compliance, data platforms, advanced analytics, and AI-enabled solutions.
The ideal candidate will possess a unique blend of domain expertise, business process knowledge, data strategy, and technical leadership to help design and implement next-generation PV solutions for global life sciences organizations.
Key Responsibilities
Pharmacovigilance Leadership
  • Serve as the SME for end-to-end Pharmacovigilance processes, including:
    • Individual Case Safety Report (ICSR) management
    • Case processing and medical review
    • Signal detection and management
    • Aggregate reporting
    • Benefit-risk assessment
    • Risk management planning
    • Regulatory submissions and compliance
  • Advise stakeholders on global regulatory requirements and industry best practices.
  • Support PV operating model design, process optimization, and digital transformation initiatives.
Data & AI Strategy
  • Define and implement data-driven solutions for pharmacovigilance operations.
  • Identify opportunities to leverage AI, Machine Learning, Generative AI, and automation across PV workflows.
  • Lead use-case development for:
    • Case intake automation
    • Literature surveillance
    • Signal detection and prioritization
    • Regulatory intelligence
    • Medical content summarization
    • Knowledge management and decision support
  • Collaborate with data scientists, engineers, and business teams to operationalize AI solutions.
Techno-Functional Consulting
  • Translate business requirements into scalable technology solutions.
  • Lead requirements gathering, solution design, vendor evaluations, and implementation planning.
  • Provide expertise on safety platforms, data architecture, and integration strategies.
  • Act as a trusted advisor to business leaders, product owners, and technology teams.
Stakeholder Engagement
  • Engage with business, clinical, regulatory, safety, and technology stakeholders.
  • Conduct workshops, solution reviews, and executive presentations.
  • Drive alignment between business objectives and technology investments.
Required Qualifications
  • Bachelor's degree in Life Sciences, Pharmacy, Medicine, Computer Science, Information Systems, or related field.
  • 12+ years of experience in Pharmacovigilance, Drug Safety, or Life Sciences consulting.
  • Deep understanding of global pharmacovigilance regulations and safety processes.
  • Strong experience working with PV systems and safety platforms.
  • Demonstrated experience leading business transformation and technology initiatives.
  • Strong understanding of data management, analytics, and AI technologies.
  • Experience translating complex business challenges into technology solutions.
  • Excellent communication, stakeholder management, and leadership skills.
Preferred Qualifications
  • Advanced degree (MS, PharmD, PhD, MBA, or equivalent).
  • Experience with leading safety platforms such as:
    • ArisGlobal LifeSphere Safety
    • Veeva Vault Safety
  • Experience with cloud and data platforms such as:
    • Databricks
    • Snowflake
    • Microsoft Azure or any Cloud
    • AWS
  • Familiarity with Generative AI technologies, LLMs, NLP, and AI governance.
  • Experience supporting global pharmaceutical or biotechnology organizations.
Desired Competencies
  • Strategic thinking and business acumen
  • Pharmacovigilance process expertise
  • Data and AI solution leadership
  • Enterprise architecture awareness
  • Regulatory compliance mindset
  • Executive communication skills
  • Cross-functional leadership
  • Client-facing consulting experience
Success Measures
  • Delivery of measurable improvements in PV efficiency and compliance.
  • Successful implementation of AI and data-driven initiatives.
  • Improved business adoption of digital solutions.
  • Strong stakeholder satisfaction and executive engagement.
  • Establishment of scalable and compliant PV technology frameworks.

This role is ideal for a senior leader who can seamlessly connect Pharmacovigilance business processes with Data, Analytics, and AI capabilities to drive innovation and operational excellence across the life sciences ecosystem.

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