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

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