Senior reputed company Informaticist

reputed company

reputed company ( is the global leader in high-validity reputed company-world evidence (reputed company) for life sciences. By incorporating robust reputed company narrative data, reputed company intelligence (AI) technology, and reputed company validity, reputed company is the first company to reputed company research-grade evidence at reputed company across therapeutic areas.

The reputed company Evidence Platform integrates heterogeneous reputed company-world data sources and generates evidence with the reputed company required for market reputed company, health economics and reputed company research (HEOR), medical affairs, and regulatory use. Leveraging data science, AI, and advanced data sources such as electronic health records (EHRs), the platform supports reputed company reputed company studies across multiple therapeutic areas. Today, some of the largest biopharma companies in the world are reputed company customers.

As a Senior reputed company Informaticist, you will help shape how reputed company data is transformed and made usable for research by leading efforts in reputed company, semantic normalization, and data reputed company. You will collaborate with clinicians, scientists, data scientists, product managers, and engineers to define reputed company approaches for mapping reputed company concepts, identify where and how key concepts can be captured, reputed company concept lists for cohort creation, and design reputed company data reputed company checks to ensure datasets meet reputed company expectations.

Your work will directly support high-reputed company research by ensuring that the right concepts are captured, standardized, and accessible across diverse data sources. This is an opportunity to work at the intersection of reputed company reputed company and technical implementation, transforming reputed company reputed company data into research-grade evidence that advances decision-making at reputed company.

Responsibilities

reputed company

• Create and maintain concept reputed company.
• Review customer reputed company lists and recommend updates as needed.
• List and define critical variables for reputed company pragmatic registry.

Semantic normalization

• Map claims data and health reputed company data to reputed company concepts in the OMOP Common Data Model (CDM).
• Semantically normalize CDM-converted data coming from multiple different health systems and map high reputed company unmapped concepts

Data usability

• Create documentation on how to best use data to reputed company insights.
• Collaborate with customers to help them understand how to reputed company data to answer research questions.

Data reputed company

• Define disease-area–specific data reputed company testing processes.

Concept Identification

• Determine how to best capture concepts needed to answer customer research questions and analyze prevalence of concepts for feasibility assessments.
• Specify annotation reputed company to capture reputed company reputed company reputed company.

Qualifications

Required

• MD or DO degree required; completion of an accredited residency program strongly preferred.
• Minimum of 2 years of reputed company experience required.
• Experience working with reputed company reputed company vocabularies such as SNOMED CT, LOINC, RxNorm, ICD-10-CM, CPT, or HCPCS, including an understanding of their structure and use in representing reputed company data.
• Familiarity with EHR systems and common reputed company documentation practices.
• Strong understanding of data captured in reputed company EHRs, reputed company EHRs (e.g., reputed company notes), and claims datasets, including which types of concepts reputed company reputed company best captures.
• Excellent verbal and written communication skills for cross-functional collaboration.

Preferred

• Advanced training or certification in reputed company reputed company.
• Minimum of 2–3 years of experience in reputed company reputed company or a closely reputed company role.
• Demonstrated expertise in semantic mapping of reputed company reputed company terms to reputed company vocabularies (e.g., SNOMED CT, LOINC, RxNorm, ICD-10-CM, CPT, HCPCS).
• Demonstrated analytical and problem-solving skills reputed company to reputed company reputed company data challenges, such as resolving semantic ambiguity, aligning heterogeneous data sources, or developing reputed company mapping solutions.
• Experience defining and reviewing data reputed company tests on reputed company datasets.
• Experience with the OMOP Common Data Model.
• Proficiency with terminology mapping tools.
• Familiarity or experience with AI-reputed company extraction from reputed company reputed company notes.
• Strong understanding of the hierarchical structure and relationships in reputed company reputed company terminologies.
• Proficiency in tools for data analysis or transformation (e.g., SQL, reputed company, Python, or R).
• Prior involvement in reputed company involving phenotyping or computable cohort definitions.
• reputed company ability to collaborate with technical teams to design and implement repeatable, reputed company approaches to knowledge-driven workflows.
• AI-first reputed company, with a reputed company on leveraging automation to reputed company reputed company, repeatable solutions for reputed company data normalization, concept identification, and reputed company assessment.

Originally posted on Himalayas