Pharmacovigilance (PV) Data Analyst V

Randstad
Duluth, GA, United States
12 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$104,000.0 - $124,800.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Data Analysis Big Data Information Systems Computer Programming Databases Computer Literacy Data Visualization R (Programming Language) Microsoft Office SAS (Software) SQL Databases

Job description

In this role, you will lead routine pharmacovigilance (PV) signal detection and perform advanced data analysis to proactively identify and evaluate product safety trends. Core responsibilities include developing comprehensive monthly and quarterly trending reports for ongoing product surveillance, as well as executing targeted data analyses to fulfill custom ad hoc requests. Furthermore, you will prepare precise safety datasets to directly support regulatory authority inquiries and partner with cross-functional stakeholders-such as Marketing, Quality Assurance, and external customers-to provide essential data-driven insights. Through these efforts, you will actively contribute to broader product safety surveillance strategies and essential risk management activities., * Perform pharmacovigilance signal detection and analysis to identify potential product safety trends.

  • Generate scheduled monthly and quarterly trending reports for product surveillance.
  • Perform custom data analysis and report generation for ad hoc requests regarding pharmacovigilance information.
  • Compile and analyze data to support requests from regulatory authorities and ensure strict compliance.
  • Provide data-driven insights and support for internal stakeholders (marketing, quality assurance) and external customers.
  • Contribute to broader product surveillance, safety risk assessments, and risk management activities.
  • Extract, analyze, and summarize relevant safety data using high-level computer literacy and Microsoft Office platforms.
  • Apply knowledge of epidemiology, statistics, and pharmacovigilance to ensure findings are accurate, reproducible, and inspection-ready.

Requirements

Bachelor’s degree in Life Sciences, Epidemiology, Statistics, or Information Systems.

Experience Requirements

5+ years of dedicated experience working within pharmacovigilance, drug safety, or a highly regulated pharmaceutical environment.

Demonstrated expertise in advanced signal detection, risk management, and preparing aggregate safety reports.

Technical & Analytical Skills

Hands-on proficiency with industry-standard safety databases.

Strong programming and data visualization skills using SQL, SAS, R, or advanced Microsoft Excel.

Deep familiarity with standardized adverse event medical coding dictionaries.

Regulatory Knowledge & Soft Skills

Comprehensive understanding of global pharmacovigilance laws, regulatory guidelines, and reporting requirements.

Excellent technical writing skills for summarizing complex safety findings for cross-functional stakeholders.

High attention to detail and the ability to detect subtle safety trends in large datasets under strict deadlines.

skills:

advanced data analysis,data-driven insights,proactively,signal detection,Marketing,pharmacovigilance,Quality Assurance,surveillance,risk management

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · World Congress 2025

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all