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Pharma Data Analyst Jobs (NOW HIRING)

Aptino

Data Analyst - Pharma

Poughkeepsie, NY · On-site

Data Analyst - Pharma Location: Titusville, NJ (Onsite) Duration: 12 Months Position Overview: We are seeking a detail-oriented Data Analyst with experience in the pharmaceutical, biotechnology, or ...

New

Merican

Data Analysis Lead

Morristown, NJ · On-site

Position: Data Analysis Lead Location: Morristown NJ Duration: 3+ Months Job Type: Temporary ... The ideal candidate must have experience in pharma sales operations data as relevant in the market ...

PCI Pharma Services

Data Analyst

Philadelphia, PA

Analyze pipeline and awarded contracts by development phase, therapeutic area, region, customer ... PCI Pharma Services is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully ...

PCI Pharma Services

Data Analyst

Philadelphia, PA · On-site

Analyze pipeline and awarded contracts by development phase, therapeutic area, region, customer ... PCI Pharma Services is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully ...

Optimized Solutions Inc

Data analyst

Warsaw, IN · On-site

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Optimized Solutions Inc

Data analyst

Warsaw, IN · On-site

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Genentech

Global Data Acquisition Lead

Bern, KS

AABI enables our business partners across Global Pharma Strategy (GPS), Medical Affairs (PDMA), Pharma International (PI)and other functions to make impactful decisions by leveraging data, analytics ...

Underscore Marketing

Data Analyst

Understanding of pharma compliance, privacy, and data governance considerations. * Experience ... Analytical rigor and attention to detail * Business-oriented problem solving * Clear and concise ...

Impiricus

Data Analyst

New York, NY · On-site +1

$85K - $95K/yr

Data Analyst Location: Atlanta, GA | NYC, NY | Remote, USA Employment Type: Full-time, Salaried Who ... We ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient ...

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Pharma Data Analyst information

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How much do pharma data analyst jobs pay per year?

As of Jul 24, 2026, the average yearly pay for pharma 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 are some typical challenges Pharma Data Analysts face on the job?

Pharma Data Analysts often work with large, complex datasets from clinical trials and real-world evidence, which can present challenges in data integration, cleaning, and ensuring data quality. Additionally, analysts must stay current with evolving industry regulations and standards for data reporting, such as those from the FDA or EMA. Collaborating across different departments—such as clinical research, regulatory affairs, and biostatistics—requires strong communication skills and adaptability. These challenges offer opportunities to develop advanced technical expertise and deepen understanding of drug development processes.

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

To thrive as a Pharma Data Analyst, you need strong analytical skills, a background in life sciences or related fields, and proficiency in statistics and data interpretation. Familiarity with tools such as SQL, SAS, Python, or R, as well as experience with clinical trial databases and certifications like SAS Certified Specialist, are often expected. Excellent attention to detail, effective communication, and the ability to work collaboratively across multidisciplinary teams are valuable soft skills. These competencies ensure accurate analysis and reporting, drive data-driven decisions, and support regulatory compliance in the pharmaceutical industry.

What does a pharmaceutical data analyst do?

A pharmaceutical data analyst collects, manages, and analyzes data related to drug development, clinical trials, and market performance to support decision-making. They use statistical tools and software to identify trends, ensure data accuracy, and generate reports for researchers and management. Strong analytical skills and knowledge of databases and data visualization are essential in this role.

Is 40 too late for data science?

For a Pharma Data Analyst, starting a career in data science at age 40 is feasible, especially with relevant skills in statistics, programming, and data management. Many professionals successfully transition into data roles later in life by gaining certifications and practical experience, making age less of a barrier in this field.

Will AI replace a data analyst?

AI is unlikely to fully replace a Pharma Data Analyst, as the role requires interpreting complex data, understanding industry-specific context, and making strategic decisions that AI cannot fully replicate. Instead, AI tools are expected to augment analysts' capabilities, automating routine tasks and enabling more focus on analysis and insights. Developing skills in data visualization, statistical methods, and AI tools can enhance job performance in this field.

What does a Pharma Data Analyst do?

A Pharma Data Analyst collects, processes, and interprets data related to pharmaceuticals, including clinical trials, sales, and market trends. They use statistical tools and data visualization techniques to identify patterns and insights that support decision-making in drug development, regulatory compliance, and business strategy. Their role helps improve patient outcomes, optimize drug production, and drive business growth.

How to become a pharma data analyst?

To become a pharma data analyst, typically a bachelor's degree in fields like statistics, biology, or data science is required. Developing skills in data analysis tools such as Excel, SQL, and statistical software, along with knowledge of the pharmaceutical industry, is essential. Gaining experience through internships or entry-level roles can also improve job prospects.
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Pharma Data Analyst jobs near you
Infographic showing various Pharma Data Analyst job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst - Pharma

Data Analyst - Pharma

Aptino

Poughkeepsie, NY • On-site

Other

Posted 2 days ago

Job description

Role: Data Analyst – Pharma

Location: Titusville, NJ (Onsite)
Duration: 12 Months

<>Position Overview:

We are seeking a detail-oriented Data Analyst with experience in the pharmaceutical, biotechnology, or life sciences industry to support data-driven initiatives across clinical, commercial, and research operations. The ideal candidate will have strong analytical and database skills, experience working with regulated datasets, and the ability to transform complex data into actionable business insights.

<>Key Responsibilities:

  • Collect, validate, analyze, and interpret large volumes of clinical, commercial, and scientific data using statistical methods and programming tools.
  • Design and enhance data collection, reporting, and analytical processes to improve operational efficiency and data quality.
  • Develop, maintain, and optimize databases and reporting environments while ensuring data accuracy and consistency.
  • Partner with business users and cross-functional teams to identify, investigate, and resolve data discrepancies within regulated environments.
  • Perform data quality checks, validation, cleansing, and integrity assessments for imported and existing datasets.
  • Manage the lifecycle of business datasets, including creation, maintenance, archival, and retirement activities.
  • Prepare dashboards, reports, and analytical summaries to support strategic and operational decision-making.
  • Support enterprise data warehouse initiatives, metadata management, and data governance activities.
  • Assist with testing, implementation, and validation of new reporting tools, software enhancements, and analytics platforms.
  • Troubleshoot reporting issues, evaluate source system changes, and ensure seamless integration with downstream reporting processes.
  • Provide technical guidance on data modeling, storage, mining, and transformation techniques.
  • Deliver user training and documentation for reporting tools and dashboards while promoting best practices in data management.

<>Required Qualifications:

  • Bachelor''''s degree in Computer Science, Information Systems, Data Analytics, Life Sciences, or a related field.
  • Experience working with pharmaceutical, biotechnology, healthcare, or life sciences datasets.
  • Strong analytical, problem-solving, and data interpretation skills with exceptional attention to detail.
  • Ability to analyze structured and complex datasets and deliver meaningful business insights.
  • Excellent organizational, communication, and stakeholder collaboration skills.
  • Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

<>Preferred Skills:

  • 2+ years of experience in data analysis, business intelligence, data science, or data warehousing.
  • Strong hands-on experience with SQL, PL/SQL, Oracle, PostgreSQL, MySQL, and Python.
  • Experience developing reports and dashboards using Power BI, Qlik, SQL Developer, or Visual Studio.
  • Knowledge of Entity-Relationship (ER) modeling and relational database design.
  • Familiarity with structured, semi-structured, and unstructured healthcare or pharmaceutical data, including clinical records, safety data, commercial datasets, and research information.
  • Understanding of data governance, normalization, compliance, and quality assurance practices within regulated environments.

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