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Pharmacy Data Analytics Jobs in Boca Raton, FL (NOW HIRING)

... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ... Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent)

... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ... Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent)

Clinical Pharmacy Technicians

Davie, FL ยท Remote

$70 - $80/hr

... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ... Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent)

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Data Entry of Prescriptions โ€‹ Qualifications: * Previous experience in pharmacy- REQUIRED * Strong analytical and critical thinking skills * Excellent written and verbal communication skills

Work on assignments that involve moderately complex to complex issues where the analysis of situations or pharmacy data requires an in-depth evaluation of variable factors. Use your skills to make an ...

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Pharmacy Data Analytics information

See Boca Raton, FL salary details

$5

$32

$42

How much do pharmacy data analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for pharmacy data analytics in Boca Raton, FL is $32.31, according to ZipRecruiter salary data. Most workers in this role earn between $24.18 and $37.64 per hour, depending on experience, location, and employer.

What is pharmacy data analytics?

Pharmacy data analytics refers to the process of collecting, analyzing, and interpreting data related to pharmacy operations, medication usage, and patient outcomes. Professionals in this field use various tools and techniques to identify trends, improve medication safety, optimize drug inventory, and support clinical decision-making. By leveraging data, pharmacy data analysts help organizations reduce costs, enhance patient care, and ensure regulatory compliance.

How does a pharmacy data analytics professional typically collaborate with pharmacists and healthcare providers?

Pharmacy Data Analytics professionals work closely with pharmacists and healthcare providers to analyze medication usage patterns, identify trends, and support evidence-based decision-making. They frequently participate in interdisciplinary meetings, presenting data-driven insights that help optimize patient care, reduce medication errors, and manage costs. Effective communication skills are essential, as analytics professionals must translate complex data into actionable recommendations for clinical staff. Collaboration often extends to IT teams to ensure seamless data integration and reporting.

What are the key skills and qualifications needed to thrive in pharmacy data analytics, and why are they important?

To excel in Pharmacy Data Analytics, you need a solid background in pharmacy practice, data analysis, and statistics, often supported by a degree in pharmacy, data science, or a related field. Familiarity with data analytics tools such as SQL, Python, Tableau, or pharmacy management software, as well as relevant certifications like Certified Analytics Professional (CAP), is highly beneficial. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating complex data into actionable insights. These competencies ensure accurate data-driven decisions that improve medication management, patient outcomes, and operational efficiency in pharmacy settings.

What is the difference between Pharmacy Data Analytics vs Pharmacovigilance Analyst?

AspectPharmacy Data AnalyticsPharmacovigilance Analyst
Required CredentialsBachelor's in Pharmacy, Data Science, or related field; proficiency in data analysis toolsBachelor's in Pharmacy, Life Sciences, or related; knowledge of drug safety regulations
Work EnvironmentHealthcare organizations, pharmacies, data analysis firmsPharmaceutical companies, regulatory agencies, healthcare settings
Industry UsageAnalyzing pharmacy data, medication trends, patient outcomesMonitoring drug safety, adverse event reporting, regulatory compliance
Common Search/ComparisonYesYes

Pharmacy Data Analytics focuses on analyzing pharmacy-related data to improve medication management and patient outcomes, while Pharmacovigilance Analysts concentrate on monitoring drug safety and adverse events. Both roles require a background in pharmacy or related fields but serve different functions within the healthcare and pharmaceutical industries.

How to become a pharmacy data analyst?

To become a pharmacy data analyst, you typically need a bachelor's degree in pharmacy, data science, statistics, or a related field. Developing skills in data analysis tools like Excel, SQL, and programming languages such as Python or R, along with knowledge of pharmacy operations and healthcare regulations, is essential. Gaining experience through internships or entry-level roles can also improve job prospects.

What does a pharmacy data analyst do?

A pharmacy data analyst collects, analyzes, and interprets healthcare and pharmacy data to improve medication management, patient outcomes, and operational efficiency. They use tools like SQL, Excel, and data visualization software to identify trends, support decision-making, and ensure data accuracy within pharmacy or healthcare settings.

What are popular job titles related to Pharmacy Data Analytics jobs in Boca Raton, FL?

For Pharmacy Data Analytics jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Pharmacy Data Analytics jobs in Boca Raton, FL look for?

The top searched job categories for Pharmacy Data Analytics jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Pharmacy Data Analytics jobs?

Cities near Boca Raton, FL with the most Pharmacy Data Analytics job openings:

Clinical Pharmacy Technicians

micro1 AI

Fort Lauderdale, FL โ€ข Remote

$70 - $80/hr

Part-time

Posted 16 days ago


Job description

Role Title: Pharmacovigilance Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety expertise on a key customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters. This opportunity is ideal for professionals experienced in authoring and reviewing complex safety reports, passionate about data quality, and committed to clear written and verbal communication.


Scope of Work

  1. Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and case-level records.
  2. Apply expert judgment to assess the accuracy and adequacy of interval safety findings, signal evaluations, and benefit-risk conclusions in alignment with best practices.
  3. Assess template and structural conformity to ICH E2F and ICH E2C requirements, including proper section content, presentation of cumulative versus interval data, and completeness of appendices.
  4. Reconcile figures and case counts across report sections and data sources, identifying and documenting discrepancies significant for regulatory review.
  5. Evaluate safety conclusions in light of new data or events, and provide clear, structured written rationales supporting your determinations.
  6. Deliver structured feedback to inform the development of AI-driven tools for pharmacovigilance documentation and analysis.


Preferred Qualifications

  1. 5+ years of pharmacovigilance or drug safety experience at a sponsor, CRO, or as an independent consultant.
  2. Demonstrated proficiency in authoring or reviewing DSURs and/or PSURs/PBRERs from start to finish.
  3. Working fluency with ICH E2F, ICH E2C(R2), and GVP guidelines, including signal management and benefit-risk assessment methodology.
  4. Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness determination, and aggregate safety data analysis.
  5. Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level information.
  6. Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent).
  7. Experience in both development-stage and post-marketing safety reporting, QPPV or deputy QPPV roles, safety committee participation, or AI-assisted safety review tools is a plus.