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Pharma Analytics information

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$64.5K

$125.3K

$179K

How much do pharma analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for pharma analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What is Pharma Analytics?

Pharma Analytics refers to the use of data analysis, statistical techniques, and advanced technologies to extract insights from pharmaceutical data. This field helps pharmaceutical companies optimize research and development, improve clinical trials, monitor drug safety, and enhance marketing strategies. By leveraging big data and analytics, pharma companies can make more informed decisions, improve patient outcomes, and streamline operations.

How does a Pharma Analytics professional typically collaborate with cross-functional teams in the pharmaceutical industry?

Pharma Analytics professionals frequently work alongside research scientists, regulatory affairs, clinical development, and commercial teams to interpret healthcare data and support data-driven decision-making. They often facilitate meetings to clarify analytic needs, translate complex data findings into actionable insights, and ensure that analytics align with business and scientific objectives. Effective communication and the ability to present technical information in an accessible way are crucial, as these professionals bridge the gap between technical data analysis and strategic business planning.

What are the key skills and qualifications needed to thrive in Pharma Analytics, and why are they important?

To thrive in Pharma Analytics, you need strong analytical skills, knowledge of pharmaceutical processes, and a background in life sciences, statistics, or data science. Familiarity with data analysis tools like SAS, R, Python, and experience with clinical trial databases or regulatory compliance systems is typically required. Excellent problem-solving, attention to detail, and effective communication help professionals translate complex data into actionable insights. These skills are crucial for supporting evidence-based decisions, optimizing drug development, and ensuring regulatory compliance in the pharmaceutical industry.

What is the difference between Pharma Analytics vs Data Analyst in the pharmaceutical industry?

AspectPharma AnalyticsData Analyst
Required CredentialsBachelor's or master's in life sciences, statistics, or related fields; knowledge of pharma regulationsBachelor's in statistics, mathematics, or related fields; proficiency in data tools
Work EnvironmentPharmaceutical companies, research labs, healthcare settingsVarious industries including healthcare, finance, tech; corporate offices
Employer & Industry UsagePrimarily in pharma and biotech sectorsAcross multiple industries, including healthcare and pharma

Pharma Analytics focuses on analyzing data specific to the pharmaceutical industry, including drug development and regulatory compliance. Data Analysts have a broader scope, working across various sectors but often applying similar skills in data interpretation and reporting. While both roles require strong analytical skills, Pharma Analytics emphasizes industry-specific knowledge and regulatory understanding.

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What cities are hiring for Pharma Analytics jobs?

Cities with the most Pharma Analytics job openings:

What states have the most Pharma Analytics jobs?

States with the most job openings for Pharma Analytics jobs include:

What job categories do people searching Pharma Analytics jobs look for?

The top searched job categories for Pharma Analytics jobs are:

Pharma Analytics jobs near you
Infographic showing various Pharma Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.

Senior Product Manager, Pharma Analytics Products

Hop

New York, NY • On-site, Remote

$106K - $284K/yr

Contractor

Re-posted 22 days ago

Job description

Our client, a Fortune 500 healthcare company, is hiring a Senior Product Manager within their Analytics & Behavior Change (A&BC) organization. You will lead the end-to-end development and launch of analytics-powered applications tailored for pharmaceutical and life science customers. The role requires strong product management chops, fluency in data analytics and healthcare data, and the ability to bridge technical and business perspectives. You will collaborate with business, data engineering, data science, and design teams to ship innovative analytics products - and mentor junior PMs along the way.
Key Responsibilities:
Gather requirements from business and clinical teams to inform product development
Develop user stories, acceptance criteria, and detailed product specs for data science and engineering teams
Collaborate with data engineering, data science, and design to translate requirements into actionable concepts and solutions
Lead the design and development of backend data and analytics architecture (scalability, reliability, performance)
Facilitate trade-off discussions among stakeholders, balancing speed, scalability, and quality
Conduct user research and usability testing to inform product decisions and validate hypotheses
Own technical documentation including data flow diagrams and architecture specifications
Communicate product updates and gather feedback from business stakeholders
Champion Agile methodologies and best practices
Mentor and guide junior product managers
Contribute to overall product strategy and roadmap aligned to business objectives
Required Qualifications
5+ years in Product Management with a focus on analytics or data-driven products
5+ years of strong verbal and written communication, translating data and insights into clear narratives for diverse audiences
3+ years collaborating cross-functionally with engineering and data science teams to deliver impactful analytics tools
3+ years in the pharmaceutical analytics domain, with solid understanding of healthcare data and analytics workflows
3+ years supporting the development of data visualization tools, particularly Tableau
3+ years working in Agile environments using JIRA and Confluence
Preferred Qualifications
Experience supporting commercial, clinical, or market access analytics in pharma / life sciences
Familiarity with medical and pharmacy claims data and their use in healthcare analytics
Understanding of data science concepts including predictive modeling and machine learning
Demonstrated proficiency in SQL
Required Qualifications:
  • 5+ years of experience in Product Management, with a strong focus on analytics or data-driven products.
  • 5+ years' experience demonstrating strong verbal and written communication skills, including the ability to translate complex data and insights into clear, compelling narratives for diverse audiences.
  • 3+ years' experience collaborating cross-functionally with engineering and data science teams to deliver impactful analytics tools.
  • 3+ years' experience in the pharmaceutical analytics domain, with a solid understanding of healthcare data and analytics workflows.
  • 3+ years' experience supporting the development of data visualization tools, with particular emphasis on Tableau.
  • 3+ years' experience working in Agile environments, using product management and delivery tools such as JIRA and Confluence.
 
Preferred Qualifications:
  • Experience in or with the pharmaceutical or life sciences industry, particularly supporting commercial, clinical, or market access analytics.
  • Familiarity with medical and pharmacy claims data and their application in Healthcare analytics.
  • Understanding of data science concepts, including predictive modeling and machine learning.
  • Demonstrated proficiency in SQL.
Education
  • Bachelor's degree in a STEM field (e.g., Science, Technology, Engineering, Mathematics) is required.
  • Master's degree in Analytics, Data Science, MPH, or MBA) is preferred.
$106,605 - $284,280 a year

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a company bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company's equity award program. 
Role is based Hybrid (1-2 days / week) in NYC Soho office. Full-time Remote will also be considered.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About Hop

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

West Hollywood, CA, US

Year founded

2020

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