10 Snomed Jobs

As a Clinical Coding Specialist at Bengaluru Luxor North Tower, your primary responsibility will be to generate and maintain sets of medical and pharmacy codes for use in defining conditions, events, and treatments in studies using healthcare data. You will be required to drive stakeholder engagement by identifying coding needs for upcoming studies and providing expert consultation on code set selection. Additionally, you will maintain a coding library platform, support the re-use of defined code sets, and collaborate on automation in the code list generation process. Your role will also involve conducting effective literature reviews, documenting and archiving code lists, updating data dictionaries, and learning and delivering code lists of new coding systems. You should have knowledge of MedDRA and WHODrug dictionaries and be able to troubleshoot coding-related issues. Proficiency in using technical tools for code list creation, defining metrics and reports for senior management, and ensuring high-quality deliverables will be essential. To qualify for this role, you should hold a MSc/PhD in Life Science, B-Pharm/M-Pharm, or equivalent, with a minimum of 10 years of experience in clinical coding. You must have strong knowledge of coding systems and tools, familiarity with regulatory guidelines, and experience in working with AI/ML tools. Proficiency in programming languages such as R and SQL, excellent problem-solving skills, and the ability to collaborate effectively with cross-functional teams are also required. At Bengaluru Luxor North Tower, we aim to unite science, technology, and talent to stay ahead of disease and positively impact the health of billions of people. We offer a collaborative and innovative work environment where you can thrive and grow professionally. If you are dedicated to delivering high-quality work, open to feedback, and committed to continuous improvement, we invite you to join us on our journey to get Ahead Together.,

Hiring | Full Stack .NET Developer Location: Hyderabad / Remote Contract Position Share your resume with Current CTC, Expected CTC & Location to: [your email here] Job Title: Full Stack Developer (.NET) Experience: 5+ Years Work Mode: Remote (Hyderabad preferred) Contract Duration: [Specify duration or ""Long-term/Extendable""] We are looking for a seasoned Full Stack Developer with extensive experience in .NET technologies, RESTful APIs, and Windows Services. This role requires a sharp problem-solver who can work independently, translate business needs into technical execution, and deliver high-performance applications. Key Responsibilities: Develop scalable applications using .NET (C#) with REST APIs and Windows services Design and implement robust, maintainable back-end architecture Apply solid relational and dimensional database design principles Collaborate with cross-functional teams in an Agile/Scrum environment Break down business requirements into clear, actionable technical tasks Maintain code quality through reviews and unit testing Support DevOps processes for CI/CD if applicable Required Skills: 10+ years of experience in .NET/C# application development Strong understanding of REST API design and Windows services Proficiency in SQL Server or equivalent RDBMS systems Experience working with Agile methodologies Excellent communication and analytical skills Ability to work with minimal supervision Preferred Skills (Good to Have): Experience in pharmaceutical R&D, clinical systems, or healthcare IT Familiarity with medical coding standards (e.g., MedDRA, SNOMED, LOINC) Exposure to DevOps pipeline tools like Bitbucket, Jenkins, UrbanCode Deploy Understanding of regulated environments (e.g., GxP, CFR Part 11)

Tech stack- Database: Mongodb: S3 Postgres Strong experience on Data pipelines; mapping React; Node; Python Aws; Lambda About the job Summary We are seeking a detail-oriented and proactive Data Analyst to lead our file and data operations, with a primary focus on managing data intake from our clients and ensuring data integrity throughout the pipeline. This role is vital to our operational success and will work cross-functionally to support data ingestion, transformation, validation, and secure delivery. The ideal candidate must have hands-on experience with healthcare datasets, especially medical claims data, and be proficient in managing ETL processes and data operations at scale. Responsibilities File Intake & Management Serve as the primary point of contact for receiving files from clients, ensuring all incoming data is tracked, validated, and securely stored. Monitor and automate data file ingestion using tools such as AWS S3, AWS Glue, or equivalent technologies. Troubleshoot and resolve issues related to missing or malformed files and ensure timely communication with internal and external stakeholders. Data Operations & ETL Develop, manage, and optimize ETL pipelines for processing large volumes of structured and unstructured healthcare data. Perform data quality checks, validation routines, and anomaly detection across datasets. Ensure consistency and integrity of healthcare data (e.g., EHR, medical claims, ICD/CPT/LOINC codes) during transformations and downstream consumption. Data Analysis & Reporting Collaborate with data science and analytics teams to deliver operational insights and performance metrics. Build dashboards and visualizations using Power BI or Tableau to monitor data flow, error rates, and SLA compliance. Generate summary reports and audit trails to ensure HIPAA-compliant data handling practices. Process Optimization Identify opportunities for automation and efficiency in file handling and ETL processes. Document procedures, workflows, and data dictionaries to standardize operations. Required Qualifications Bachelors or Master’s degree in Health Informatics, Data Analytics, Computer Science, or related field. 5+ years of experience in a data operations or analyst role with a strong focus on healthcare data. Demonstrated expertise in working with medical claims data, EHR systems, and healthcare coding standards (e.g., ICD, CPT, LOINC, SNOMED, RxNorm). Strong programming and scripting skills in Python and SQL for data manipulation and automation. Hands-on experience with AWS, Redshift, RDS, S3, and data visualization tools such as Power BI or Tableau. Familiarity with HIPAA compliance and best practices in handling protected health information (PHI). Excellent problem-solving skills, attention to detail, and communication abilities.

About iMerit: iMerit is a well-funded, rapidly expanding global leader in data services. Our dedicated Medical Division collaborates with the world's largest pharmaceutical companies, medical device manufacturers, and hospital networks to provide the data driving advancements in Artificial Intelligence. At iMerit, we have a successful track record of delivering services that support cutting-edge technologies like digital radiology, digital pathology, clinical decision support, and autonomous robotic surgery. We are in search of an enthusiastic professional to lead a team of healthcare professionals in standardizing a large volume of healthcare data into common medical ontologies. The ideal candidate will possess experience in managing large teams, setting and achieving Key Performance Indicators (KPIs), and fostering collaborative relationships with clients. Prior involvement in extensive healthcare data operations and services would be highly beneficial. This role involves close coordination with US stakeholders and requires full-time commitment during PM-Shift in India, with in-office presence mandatory. Role: As a full-time Project Manager (PM), you will be responsible for overseeing medical data projects, working with various types of medical data to generate datasets for machine learning applications. Responsibilities: - Ensure timely, within scope, and within budget delivery of all projects - Coordinate internal resources and external vendors for seamless project execution - Develop and monitor a detailed project plan - Report and escalate issues to management when necessary - Manage client relationships and engage with all stakeholders - Implement risk management strategies to mitigate project risks - Maintain thorough project documentation throughout the project lifecycle Experience/Education: - Prior experience in Project Management within Healthcare Services - Familiarity with medical ontologies like Snomed, LOINC, RxNORM, and ICD-10 - Medical background such as Physician/MBBS with relevant experience Skills: - Proficient in grasping medical concepts - Excellent English reading comprehension and communication skills - Strong computer literacy - Passion for enhancing healthcare outcomes and a strong work ethic - Willingness to work night shifts due to the project's requirement for IST night shifts - Full-time office-based work Benefits: - Competitive compensation package - Exposure to collaborating with leading healthcare and AI companies - Opportunities for personal and professional growth - Engage in an international, collaborative team environment,

About iMerit: iMerit is a well-funded, rapidly expanding global leader in data services. The dedicated Medical Division of iMerit collaborates with the world's largest pharmaceutical companies, medical device manufacturers, and hospital networks to provide data that drives advancements in Artificial Intelligence. iMerit has a successful track record of delivering services that support cutting-edge technologies like digital radiology, digital pathology, clinical decision support, and autonomous robotic surgery. We are looking for an enthusiastic professional to lead a team of healthcare professionals in normalizing a significant volume of healthcare data into standard medical ontologies. The ideal candidate should have experience in managing large teams, defining and achieving Key Performance Indicators (KPIs), and collaborating effectively with clients. Prior experience in large-scale healthcare data operations and services would be highly beneficial. This full-time role involves coordinating with stakeholders in the US and follows the PM-Shift India schedule, requiring in-office work exclusively. Role: As a full-time Project Manager (PM) for medical data projects, you will be responsible for handling various types of medical data to create datasets for machine learning applications. Responsibilities: - Ensure timely delivery of all projects within scope and budget - Coordinate internal resources and third-party vendors for project execution - Develop a detailed project plan to monitor progress - Report and escalate issues to management when necessary - Manage client relationships and engage with all stakeholders - Implement risk management strategies to reduce project risks - Maintain comprehensive project documentation Experience/Education: - Project Management experience in Healthcare Services - Familiarity with medical ontologies like Snomed, LOINC, RxNORM, and ICD-10 - Medical background such as a Physician/MBBS with relevant experience Skills: - Proficient in understanding medical concepts - Strong English reading comprehension and communication skills - Computer literacy - Passion for enhancing healthcare outcomes and a strong work ethic - Ability to work night shifts, as the project requires IST night shift work - Full-time office-based work required Benefits: - Competitive compensation package - Exposure to innovative companies in healthcare and AI - Opportunities for professional growth and leadership development - Collaborative international work environment with a teamwork focus,

We are looking for a seasoned Full Stack Developer with extensive experience in .NET technologies, RESTful APIs, and Windows Services. This role requires a sharp problem-solver who can work independently, translate business needs into technical execution, and deliver high-performance applications. Key Responsibilities: Develop scalable applications using .NET (C#) with REST APIs and Windows services Design and implement robust, maintainable back-end architecture Apply solid relational and dimensional database design principles Collaborate with cross-functional teams in an Agile/Scrum environment Break down business requirements into clear, actionable technical tasks Maintain code quality through reviews and unit testing Support DevOps processes for CI/CD if applicable Required Skills: 10+ years of experience in .NET/C# application development Strong understanding of REST API design and Windows services Proficiency in SQL Server or equivalent RDBMS systems Experience working with Agile methodologies Excellent communication and analytical skills Ability to work with minimal supervision Preferred Skills (Good to Have): Experience in pharmaceutical R&D, clinical systems, or healthcare IT Familiarity with medical coding standards (e.g., MedDRA, SNOMED, LOINC) Exposure to DevOps pipeline tools like Bitbucket, Jenkins, UrbanCode Deploy Understanding of regulated environments (e.g., GxP, CFR Part 11) #

We are looking for a seasoned Full Stack Developer with extensive experience in .NET technologies, RESTful APIs, and Windows Services. This role requires a sharp problem-solver who can work independently, translate business needs into technical execution, and deliver high-performance applications. Key Responsibilities: Develop scalable applications using .NET (C#) with REST APIs and Windows services Design and implement robust, maintainable back-end architecture Apply solid relational and dimensional database design principles Collaborate with cross-functional teams in an Agile/Scrum environment Break down business requirements into clear, actionable technical tasks Maintain code quality through reviews and unit testing Support DevOps processes for CI/CD if applicable Required Skills: 10+ years of experience in .NET/C# application development Strong understanding of REST API design and Windows services Proficiency in SQL Server or equivalent RDBMS systems Experience working with Agile methodologies Excellent communication and analytical skills Ability to work with minimal supervision Preferred Skills (Good to Have): Experience in pharmaceutical R&D, clinical systems, or healthcare IT Familiarity with medical coding standards (e.g., MedDRA, SNOMED, LOINC) Exposure to DevOps pipeline tools like Bitbucket, Jenkins, UrbanCode Deploy Understanding of regulated environments (e.g., GxP, CFR Part 11)

Job Description As a Medical Annotations trainer, we are looking for a doctor (MBBS) who has: Good clinical knowledge 2 plus years of experience in various clinical departments of a large hospital Awareness of different medical coding systems like SNOMED, RxNorm, CPT, ICD 10, LOINC. Has experience in a training role and has the following competencies: A. Training needs assessment through: 1. Review and assessment of the project objectives 2. Evaluation of skillset and knowledge base of new annotators 3. Evaluation of performance of annotators 4. Review of client and management feedback B. Creation of training programs C. Preparation of learning materials for training programs D. Develop onboarding programs for new annotators E. Conduct surveys to gauge effectiveness of training programs F. Regularly evaluate the work produced by annotators to assess whether it meets quality standards. Other requirements: 1. Good written and oral communications skills 2. Capacity to foster a healthy, stimulating work environment that harnesses teamwork. 3. Keen Interest in future digital skills such as working with artificial intelligence and data. 4. High orientation to detail, is a patient, self-motivated worker who loves to learn new processes and technologies Annotations trainers job Summary As a Trainer for the medical annotator, you will engage directly with trainee annotators to facilitate their development as annotators of relevant medical data in medical records. This involves tailoring instruction methods to suit different learning styles and objectives. Your primary goal is to foster a competent and knowledgeable workforce that can contribute effectively to the business's objectives. You will periodically review the annotators work to ensure it meets the required accuracy and completeness standards. Annotations trainers responsibilities As a Trainer, your central role revolves around enhancing the annotators understanding of the medical record, the data within it and the correct annotation methodology that should be applied to it. Your responsibilities include designing training courses, leading training sessions, assessing the training's impact, and providing one-on-one mentorship. Your goal is to ensure that the team of annotators is skilled, confident, and aligned with the customers medical data annotation objectives and the company's policies and procedures. You will be responsible for conducting periodic quality checks on the annotators output. Location : Noida Sector 62 Shift Timing : 9:30pm-6:30am (9hrs) Work Mode : Work from office If you are interested please share your resume on mrana@innodata.com

Job Description As a Medical Annotations trainer, we are looking for a doctor (MBBS) who has: Good clinical knowledge 2 plus years of experience in various clinical departments of a large hospital Awareness of different medical coding systems like SNOMED, RxNorm, CPT, ICD 10, LOINC. Has experience in a training role and has the following competencies: A. Training needs assessment through: 1. Review and assessment of the project objectives 2. Evaluation of skillset and knowledge base of new annotators 3. Evaluation of performance of annotators 4. Review of client and management feedback B. Creation of training programs C. Preparation of learning materials for training programs D. Develop onboarding programs for new annotators E. Conduct surveys to gauge effectiveness of training programs F. Regularly evaluate the work produced by annotators to assess whether it meets quality standards. Other requirements: 1. Good written and oral communications skills 2. Capacity to foster a healthy, stimulating work environment that harnesses teamwork. 3. Keen Interest in future digital skills such as working with artificial intelligence and data. 4. High orientation to detail, is a patient, self-motivated worker who loves to learn new processes and technologies Annotations trainers job Summary As a Trainer for the medical annotator, you will engage directly with trainee annotators to facilitate their development as annotators of relevant medical data in medical records. This involves tailoring instruction methods to suit different learning styles and objectives. Your primary goal is to foster a competent and knowledgeable workforce that can contribute effectively to the business's objectives. You will periodically review the annotators work to ensure it meets the required accuracy and completeness standards. Annotations trainers responsibilities As a Trainer, your central role revolves around enhancing the annotators understanding of the medical record, the data within it and the correct annotation methodology that should be applied to it. Your responsibilities include designing training courses, leading training sessions, assessing the training's impact, and providing one-on-one mentorship. Your goal is to ensure that the team of annotators is skilled, confident, and aligned with the customers medical data annotation objectives and the company's policies and procedures. You will be responsible for conducting periodic quality checks on the annotators output. Location : Noida Sector 62 Shift Timing : 9pm-6am (9hrs) Work Mode : Work from office If you are interested please share your resume on mrana@innodata.com

ETL Data Engineer AWS & Clinical Imaging Responsibilities Design, develop, and optimize ETL pipelines for large-scale medical imaging datasets, ensuring efficient data ingestion, transformation, and storage. Develop scalable ETL solutions integrating with AWS (S3, Lambda, EC2, DynamoDB, Redshift). Design and implement event-driven workflows using Amazon EventBridge, API Gateway, and AWS Lambda to automate the processing and management of medical imaging data. Implement PHI de-identification workflows as part of the data processing pipeline. Optimize data storage and retrieval on AWS for high-performance clinical applications. Integrate ETL pipelines with clinical systems using HL7 and FHIR standards. Collaborate with DevOps teams for containerized and automated deployments (Docker, Kubernetes, Terraform). Support AI/ML teams with structured data pipelines for model training and inference. Required Qualifications 7 years (minimum) experience in data engineering with a focus on healthcare imaging and medical imaging data. Strong programming skills in Python, Java, and Golang for data engineering and automation. Expertise in medical imaging standards (preferably DICOM) and clinical metadata processing. Hands-on experience with AWS services (S3, Lambda, EC2, IAM, Redshift, Athena, SageMaker). Experience with ETL frameworks, data pipelines, and database management (SQL, NoSQL, PostgreSQL, DynamoDB, etc.). Familiarity with clinical metadata standards (HL7, FHIR, LOINC, SNOMED). Strong problem-solving skills and ability to work cross-functionally with clinical and technical teams. B.E/BTech - Computer Sciences Preferred Qualifications Experience with containerized deployments (Docker, Kubernetes) for scalable healthcare applications. Experience with Terraform for infrastructure as code (IaC) automation. Familiarity with edge computing and real-time streaming for ETL pipelines. Understanding of cloud-native monitoring and logging for ETL jobs.