Senior Pharmacy Informaticist

Oracle Health Data Intelligence (HDI) is at the forefront of revolutionizing healthcare through cutting-edge data and AI solutions. We’re looking for an experienced individual contributor to join our team in the USA. As a Senior Pharmacy Informaticist, you will apply your expertise in clinical informatics and pharmacology to design sophisticated, data-driven algorithms and drug-specific terminologies on the Oracle HDI platform. This role combines clinical insights with technological innovation, fostering collaboration with cross-functional teams to drive progress and shape the future of healthcare.

Experience

• 3-5 years of clinical experience as a Pharmacist (PharmD or RPh)
• Clinical informatics experience preferred
  • Experience with standard medical terminologies (specifically RxNorm, NDC, CPT)
  • Familiarity with clinical EHR systems and data.
  • Collaboration with healthcare professionals, providers, IT specialists, and business users in analyzing clinical workflows and identifying opportunities for improvement.
  • Quality measurement, care coordination, or other outcomes-based improvement programs.
  • Use of clinical data for evidence-based decision making.
• Proven track record in implementing quality control processes to ensure the integrity and reliability of data and outcomes.

Responsibilities

• Apply clinical and informatics knowledge to author and refine clinical algorithm requirements on the Oracle Health Data Intelligence (HDI) platform.
• Interpret industry standards, specifications, and clinical documentation to draft internal algorithm requirements.
• Participate in design and requirements-gathering sessions with internal teams and customer stakeholders to ensure algorithms align with clinical, regulatory, and business objectives.
• Comprehend clinical workflows to guide algorithm development and enhance clinical outcomes.
• Use internal tools to curate and maintain clinical terminology value sets and to map clinical data to standard terminologies.
• Collaborate with engineering by handing off clearly defined algorithm requirements and documentation.
• Draft comprehensive testing scenarios, including edge cases, to support validation and quality assurance processes.
• Begin to develop familiarity with healthcare data models and how they impact algorithm design.
• Analyze client-specific clinical data to identify and standardize source elements to standard terminologies (e.g., LOINC, SNOMED CT, RxNorm).
• Collaborate with internal teams to ensure standardization mappings meet clinical and technical standards, and support quality assurance efforts.
• Submit inquiries to industry bodies (e.g., CMS, NCQA) to clarify compliance requirements and ensure alignment of algorithms with evolving regulatory guidance.
• Demonstrate a working understanding of the HDI platform’s data model, including the data ingestion pipeline and transformation processes.
• Analyze the clinical data normalization process and assess the implications of data quality and consistency on algorithm accuracy and performance.
• Independently query and analyze healthcare data using SQL or similar tools to support the design, validation, and optimization of clinical algorithms.
• Collaborate cross-functionally with clinical, engineering, data science, product, and customer-facing teams to proactively identify and resolve data or algorithm-related issues.
• Provide mentorship and technical guidance to entry-level informaticists, especially on complex data interpretation and algorithm logic challenges.
• Review and contribute to the continuous improvement of internal best practices for clinical algorithm development and quality assurance.
• Learn to interpret and apply FHIR (Fast Healthcare Interoperability Resources) principles in the context of HDI algorithm development.

Skills

• Strong critical thinking and problem-solving skills for designing, evaluating, and optimizing clinical algorithms that align with both clinical and business objectives. Proven ability to identify gaps and propose innovative solutions within complex healthcare workflows.
• Comfortable working in ambiguous, fast-paced environments, with the ability to adapt quickly to evolving healthcare technologies and priorities.
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