Senior Pharmacy Informaticist

• Does this position require a security clearance? No
• Years 6 to 10+ years
• Additional Info Visa / work permit sponsorship is not available for this position
• Applicants are required to read, write, and speak the following languages English

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 (Pharm
  
  D 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…