Principal, Pharmacy Informatics
Home Based-Philadelphia, PA, Vereinigte Staaten
Elsevier
Elsevier is a global information analytics company that helps institutions and professionals progress science, advance healthcare and improve performance
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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Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data management Data quality Engineering Excel Healthcare technology HL7 LOINC Machine Learning Privacy Python R Research RxNorm SNOMED SQL
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