Jobs for M.Pharm, B.Pharm as Clinical Ontologist in Artificial intelligence company, Simbo

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Simbo will be the most progressive and natural upgrade in the medicinal field till date with its human-like skills to comprehend all healthcare stakeholders' needs. Simbo, a Junior-Doctor robot with human-like intelligence is skilled to assist Doctors in their day to day tasks, ensuring they focus only on treating Patients. For everything else they have Simbo!

Post: Clinical Ontologist - Trainee

No of posts : 05

Job Description

  • Standardization of clinical data from various data sources and ontologies: SNOMED, LOINC, RxNorm, UMLS etc.
  • Ontology building by mappings and linking relationship between medical concepts.
  • UMLS curation and dictionary filtration.
  • Educate and support the software development team by solving their queries regarding disease, procedure, and other medical terminology and taxonomy.
  • Provide quality assurance of automated mapping using Health Language terminology application of data to standardized medical terminologies.
  • Editing/updating medical taxonomy/ontology for hierarchical and semantic relationship.
  • Training Artificial General Intelligence Software tools for learning on Medical Knowledge Graphs
  • Manage medical records interoperability by mapping clinical content to national terminology standards like RxNorm, SNOMED and UMLS
  • Coordinate with internal and external organizations to enhance the quality of mapping and interoperability
  • Build databases for clinical content analysis
  • Deploy standard terminology within the organization
  • Contribute to the design of clinical data dictionaries for storing and retrieving clinical reference information
  • Terminology and Ontology Research and Product Development
  • Research and development of advanced terminology search engines and user interfaces for clinical terminology management.
  • Curating and integrating terminology content (including SNOMED CT, LOINC, RxNorm and various flavors of ICD-9 and ICD-10 and some other terminologies) in the Healthcare Data Dictionary.
  • Working closely with natural language processing experts and engineers to develop information extraction methods in an agile work environment.
  • Providing technical expertise in national and international terminology standards including: SNOMED, ICD-9, ICD-10, and other UMLS source vocabularies.

Candidate Profile
• Comprehensive knowledge of drugs (pharmacology) and diseases.
• Working knowledge of medical taxonomy/ontology.
• Working knowledge of UMLS, LOINC and/or SNOMED CT.
• Ability to evaluate medical literature relevant to a specific clinical problem.
• Training abilities for bioinformatics projects.
• Computer operational skills.
• Knowledge of different versions on windows operating system and/or Linux.
• Proficient in searching medical contents and references on internet.

Additional Information
Experience : 0-1 years
Qualification :
B.Pharm, D.Pharm
Location : Bangalore
Industry Type : Pharma/ Healthcare/ Artificial Intelligence
Functional Area : Ontology
End Date : 20th March, 2020

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Posted by
Rakesh Chandra

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