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Pharmaceutical Data Management Jobs (NOW HIRING)

IntegriChain

Director, Data Solutions

Philadelphia, PA · On-site +1

The Director, Data Solutions, leads and supports the delivery of data-focused implementation projects and ongoing managed services in support of pharmaceutical commercial operations. This includes ...

Mondo

Clinical Data Governance Lead

Manhattan, NY · Remote

$77 - $92/hr

The ideal candidate combines deep pharmaceutical and clinical data expertise with strong stakeholder management skills and hands-on experience driving governance adoption across business and ...

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Pharmaceutical Data Management information

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$31K

$97.1K

$172K

How much do pharmaceutical data management jobs pay per year?

As of Aug 18, 2026, the average yearly pay for pharmaceutical data management in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is pharmaceutical data management?

A Pharmaceutical Data Management job involves handling, organizing, and analyzing data related to pharmaceutical research, clinical trials, regulatory compliance, and drug development. Professionals in this role ensure data accuracy, integrity, and security while facilitating data-driven decision-making. They work with databases, software tools, and regulatory guidelines to manage large sets of pharmaceutical information. This role is critical for maintaining compliance with industry standards and improving drug development processes.

What are the main challenges faced by professionals in pharmaceutical data management?

Professionals in Pharmaceutical Data Management often deal with large volumes of complex clinical and regulatory data, requiring meticulous organization and high accuracy. Staying up to date with evolving regulatory requirements and ensuring data compliance throughout different phases of clinical trials can be challenging. Additionally, collaborating across multidisciplinary teams—including scientists, statisticians, and regulatory specialists—requires clear communication and adaptability. Overcoming these challenges helps ensure the success of clinical trials and the integrity of the drug development process.

What are the key skills and qualifications needed to thrive in pharmaceutical data management?

To thrive in Pharmaceutical Data Management, a solid understanding of data integrity, regulatory compliance (such as GxP and FDA guidelines), and biostatistics is essential, often supported by a degree in life sciences or data management. Familiarity with electronic data capture (EDC) systems, clinical trial management systems (CTMS), and certifications like CDISC are highly valued. Strong attention to detail, effective communication, and problem-solving abilities help professionals excel in coordinating complex data tasks. These skills are crucial for ensuring data accuracy, supporting drug development processes, and maintaining compliance with industry standards.

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Pharmaceutical Data Management jobs near you
Infographic showing various Pharmaceutical Data Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Associate Director, Data Strategy

PharmaEssentia

Burlington, MA • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
PharmaEssentia is a rapidly growing biopharmaceutical innovator focused on delivering effective new biologics for challenging diseases. The Associate Director, Data Strategy will lead enterprise data strategy, governance, and master data management capabilities while partnering with cross-functional teams to optimize the data environment and evolve field reporting capabilities.
Responsibilities:
• Define and lead the design and redesign of PharmaEssentia’s commercial data strategy.
• Serve as a strategic thought partner to Commercial and non-Commercial leaders by developing, analyzing, and implementing action plans that evolve the data environment.
• Ownership of MDM, the data warehouse and related systems through vendor partnerships, including ongoing evaluation of future improvements.
• Develop the enterprise approach by assessing current integrations, improving data flow, and reducing manual interventions.
• Ensure alignment of structured customer data across CRM and the data warehouse for reporting and advanced analytics.
• Enable scalable integration of the CRM backend data, specialty pharmacy, claims, payer, field activity, digital engagement, and omnichannel data sources.
• Analyze a variety of data sources, including specialty pharmacy and specialty distribution (SP/SD) data, to generate insights and actionable recommendations.
• Partner with Compliance to ensure alignment with data requirements and AI/LLM governance standards.
• Lead the development of scalable analytical solutions for recurring analyses, and collaborate with internal and external stakeholders to improve business operations and efficiency.
• Own and drive adoption of dashboards and reporting platforms for both field and headquarters teams.
• Manage relationships with third-party data providers (e.g. Beghou, ZS, Komodo, Veeva), including budget ownership and quarterly business reviews.
• Bring experience in the life sciences industry, with a strong understanding of pharmaceutical data and analytics needs.
Qualifications:
Required:
• Bachelor’s degree in Information Technology, Data Science, Business Analytics, or a related field.
• Minimum of 5 years of experience in data strategy, data management, governance, and data platforms.
• Strong analytical and technical skills, including SQL, R, SAS, or Python, as well as Microsoft Excel and Snowflake/Databricks.
• Data visualization experience using tools such as Tableau and Microsoft PowerPoint.
• Experience working with marketing and digital data, patient-level claims data, specialty pharmacy and specialty distribution data, EHR, lab test data, HCO hierarchy and affiliation data, Veeva CRM Suite, and other pharmaceutical data sources.
• Broad knowledge of analytical techniques and data sources, with the ability to identify the most appropriate approach to address key business questions.
• Experience with field force analytics, including customer segmentation, targeting, performance measurement, and data change request processes.
Preferred:
• Consulting experience is a plus.
Company:
PharmaEssentia develops treatments for myeloproliferative neoplasms, hepatitis, and other diseases. Founded in 2003, the company is headquartered in Taipei, TWN, with a team of 501-1000 employees. The company is currently Late Stage.

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