Fast Facts

This role seeks a Principal in Pharmacy Informatics to enhance clinical decision-making and operational efficiency through the analysis of healthcare data and development of informatics solutions, integrating advanced technologies to improve patient care.

Responsibilities: Key responsibilities include analyzing healthcare terminology data, developing a comprehensive data dictionary, implementing data mapping processes, utilizing AI and machine learning for data quality improvement, and educating stakeholders on healthcare data standards.

Skills: Candidates must possess expertise in healthcare terminologies, proficiency in data analysis tools (e.g., SQL, Python), strong analytical skills, and excellent communication abilities, along with a clinical training background in pharmacy, medicine, or nursing.

Qualifications: Preferred qualifications include 8-10+ years of experience in pharmacy or clinical informatics and certifications in informatics (e.g., CPHIMS).

Location: Home Based-Philadelphia, PA, with no required travel.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $120,000 - $170,000.

Senior Principal, Pharmacy Informatics

Are you passionate about developing clinical decision support solutions that improve clinical outcomes and streamline operations through data-driven informatics?

Do you excel at bridging clinical knowledge with technical expertise and thrive in a collaborative environment?

About the Role

As the Principal, Pharmacy Informatics, you will analyze, optimize, and maintain healthcare data and terminology content, supporting the design and implementation of informatics solutions that enhance clinical decision-making and operational efficiency. This role ensures data accuracy, interoperability, and innovation in our clinical decision support solutions, serving healthcare professionals and patients globally.

You will integrate healthcare data exchange standards, develop comprehensive terminology assets, and utilize technologies like AI and machine learning. Collaborating with multidisciplinary teams, you will contribute to new product development and improvements in data quality, automation, and interoperability.

This role offers a unique opportunity to combine clinical expertise, technical skills, and a passion for informatics to make a meaningful impact on healthcare.

About our Team

We are a mission driven team dedicated to advancing healthcare technology. We help improve medication safety, data quality, and patient care through innovation in pharmacy informatics. We Utilize cutting-edge tools to transform healthcare workflows and outcomes

Responsibilities

• Analyze and evaluate healthcare terminology data to identify trends and inconsistencies.

• Develop and maintain a comprehensive data dictionary with standard definitions, codes, and classifications.

• Build and manage value sets that map clinical concepts to standard terminologies (ICD-10, SNOMED CT, RxNorm, NDC, LOINC, CPT) to support interoperability.

• Design and implement data mapping and transformation processes for seamless integration of healthcare terminology data.

Innovation & Technical Collaboration

• Utilize machine learning (ML) and AI tools to automate and improve scalability in knowledge management and data quality processes.

Collaborate with engineering and IT teams to leverage healthcare data exchange standards (e.g., HL7, CCDA, FHIR).

• Implement quality assurance measures to resolve data discrepancies and ensure data integrity.
• Drive improvements in data integration processes for consistent data use across workflows.
• Educate stakeholders on best practices in knowledge management, healthcare data standards, and informatics tools.
• Partner with cross-functional teams to execute informatics strategies aligned with organizational goals.
• Act as a subject matter expert in healthcare terminologies and data management.

Requirements

Have 8–10+ years of experience in pharmacy informatics, clinical informatics, or related fields.

Demonstrate expertise in healthcare terminologies and classifications (e.g., ICD-10, RxNorm, SNOMED CT, LOINC, CPT).

Be proficient in data analysis tools and programming languages (e.g., SQL, Python, R).

Have experience with healthcare data exchange standards (e.g., HL7, CCDA, FHIR).

Possess strong analytical skills and attention to detail ensuring data accuracy and compliance with regulatory standards.

Have excellent communication skills, capable of collaborating with diverse stakeholders and articulating technical concepts.

Be skilled in mentoring teams and driving innovation

Clinical training and licensure in pharmacy, medicine, or nursing. Additional certifications in informatics (e.g., CPHIMS) are highly desirable.

About the Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

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