51 to 75 of 278 Electronic Patient Records Jobs

project briefs, contribute to the development of project management methods at NUH and practically support priority programmes, e.g. our current Electronic Patient Record (EPR) Programme. NUH is a flexible employer and remote working is now a fully embedded part of our normal working practices. Main duties of the job In addition to the summary … Person Specification documents attached to this advert. Digital Services has a vital role in the delivery of NUH's ambitions to be outstanding in health outcomes and patient and staff experience. NUH's Digital Services comprises of teams of professional staff concerned with providing a wide range of Services, Applications and Technology. Initially responsible for a … empowered to do their job. We also support flexible and remote working as appropriate and provide all of the necessary tools for you to do your job remotely. Patient care is at the heart of all we do so if you are passionate about patient care, join us and help us to make a More ❯

ve built scalable pharmacy, telemedicine, and e-commerce platforms using cutting-edge technology. As we continue our accelerated growth trajectory, we're launching new products to expand our patient base and accelerate growth. Join us in tackling exciting challenges at the intersection of healthcare and technology. As a Staff Engineer , you'll work closely with our CTO … Runtime: Angular, Node JS, AWS Chime, Free Switch Infrastructure: Google Cloud, AWS, and on-premises servers Project Management: Azure DevOps What We've Built Telemedicine Platform: Proprietary system with EHR (electronic health records) integration, web-based video calls, and SIP-to-web voice conversion Pharmacy Software: Scalable system handling high-volume prescription fulfillment More ❯

standard protocols and technologies. Familiarity with API design and development. Strong knowledge of data integration patterns and methodologies. Hands-on experience with middleware and integration platforms. Proficient in electronic data exchange mechanisms. This could include Web Services, HL7 v2 or v3, FHIR or other data interchange standards and mechanisms. Demonstrated ability to help design and lead data … applications Proficiency in Java programming language and relevant frameworks (e.g., Spring, Hibernate) Experience working with healthcare information systems like Electronic Health Records (EHR) and Health Information Exchanges (HIE) Knowledgeable about healthcare data exchange protocols and technologies, such as TCP / IP, XML, JSON, and RESTful APIs Bachelor's degree in Computer More ❯

and pet care. We follow a scientific and data-driven approach based on experimental data generated at WALTHAM, and on big data from genetic testing, activity monitors and electronic health records. Mining these connected data sets with advance analytical methods allows us to generate new insights giving Mars Petcare a competitive advantage and helping us to … work both independently and collaboratively at high level of quality, and to contribute to shaping the development of the portfolio of data science projects. Example projects include using electronic health records to develop risk models for a variety of diseases and developing tools to improve quality of care in veterinary practice. The nature More ❯

objectives. ️ We want to hear from you if you Have experience in: Ideally 4-5 years experience as a Senior Product Manager Proven track record of clinical (NHS) integrations. EPR integrations in primary and secondary care. Familiar with FHIR and HL7 Ability to deal with internal and external stakeholders. Good communication skills. Collaborative and willing to listen to others ideas. More ❯

Role: As a Healthcare Data Engineer you will design, build, and scale data pipelines that powers their disease prediction platform. You'll be at the forefront of harmonizing diverse EHR datasets, ensuring clinical data is standardized, interoperable, and research-ready. This hands-on role requires deep experience with ETL workflows, clinical ontologies like HL7 FHIR and OMOP, and the ability … data using formats like HL7 FHIR, OMOP, SNOMED, ICD-10, and LOINC to ensure interoperability. Build and maintain ETL pipelines to ingest, de-identify, and unify data from various EHR systems, including structured and unstructured sources. Support a scalable cloud infrastructure for large-scale data processing using tools like Spark and Databricks. Ensure data privacy and compliance with HIPAA, GDPR … checks and anomaly detection systems. Collaborate with cross-functional teams (engineering, product, clinical, bioinformatics) to align on goals and deliver research-ready data. Required Qualifications Direct experience working with EHR data , biobank records, or clinical data platforms. Strong skills in Python and SQL , with a proven track record working in cloud environments like AWS, GCP, or Azure. More ❯

Role: As a Healthcare Data Engineer you will design, build, and scale data pipelines that powers their disease prediction platform. You'll be at the forefront of harmonizing diverse EHR datasets, ensuring clinical data is standardized, interoperable, and research-ready. This hands-on role requires deep experience with ETL workflows, clinical ontologies like HL7 FHIR and OMOP, and the ability … data using formats like HL7 FHIR, OMOP, SNOMED, ICD-10, and LOINC to ensure interoperability. Build and maintain ETL pipelines to ingest, de-identify, and unify data from various EHR systems, including structured and unstructured sources. Support a scalable cloud infrastructure for large-scale data processing using tools like Spark and Databricks. Ensure data privacy and compliance with HIPAA, GDPR … checks and anomaly detection systems. Collaborate with cross-functional teams (engineering, product, clinical, bioinformatics) to align on goals and deliver research-ready data. Required Qualifications Direct experience working with EHR data , biobank records, or clinical data platforms. Strong skills in Python and SQL , with a proven track record working in cloud environments like AWS, GCP, or Azure. More ❯

Role: As a Healthcare Data Engineer you will design, build, and scale data pipelines that powers their disease prediction platform. You'll be at the forefront of harmonizing diverse EHR datasets, ensuring clinical data is standardized, interoperable, and research-ready. This hands-on role requires deep experience with ETL workflows, clinical ontologies like HL7 FHIR and OMOP, and the ability … data using formats like HL7 FHIR, OMOP, SNOMED, ICD-10, and LOINC to ensure interoperability. Build and maintain ETL pipelines to ingest, de-identify, and unify data from various EHR systems, including structured and unstructured sources. Support a scalable cloud infrastructure for large-scale data processing using tools like Spark and Databricks. Ensure data privacy and compliance with HIPAA, GDPR … checks and anomaly detection systems. Collaborate with cross-functional teams (engineering, product, clinical, bioinformatics) to align on goals and deliver research-ready data. Required Qualifications Direct experience working with EHR data , biobank records, or clinical data platforms. Strong skills in Python and SQL , with a proven track record working in cloud environments like AWS, GCP, or Azure. More ❯

Role: As a Healthcare Data Engineer you will design, build, and scale data pipelines that powers their disease prediction platform. You'll be at the forefront of harmonizing diverse EHR datasets, ensuring clinical data is standardized, interoperable, and research-ready. This hands-on role requires deep experience with ETL workflows, clinical ontologies like HL7 FHIR and OMOP, and the ability … data using formats like HL7 FHIR, OMOP, SNOMED, ICD-10, and LOINC to ensure interoperability. Build and maintain ETL pipelines to ingest, de-identify, and unify data from various EHR systems, including structured and unstructured sources. Support a scalable cloud infrastructure for large-scale data processing using tools like Spark and Databricks. Ensure data privacy and compliance with HIPAA, GDPR … checks and anomaly detection systems. Collaborate with cross-functional teams (engineering, product, clinical, bioinformatics) to align on goals and deliver research-ready data. Required Qualifications Direct experience working with EHR data , biobank records, or clinical data platforms. Strong skills in Python and SQL , with a proven track record working in cloud environments like AWS, GCP, or Azure. More ❯

Role: As a Healthcare Data Engineer you will design, build, and scale data pipelines that powers their disease prediction platform. You'll be at the forefront of harmonizing diverse EHR datasets, ensuring clinical data is standardized, interoperable, and research-ready. This hands-on role requires deep experience with ETL workflows, clinical ontologies like HL7 FHIR and OMOP, and the ability … data using formats like HL7 FHIR, OMOP, SNOMED, ICD-10, and LOINC to ensure interoperability. Build and maintain ETL pipelines to ingest, de-identify, and unify data from various EHR systems, including structured and unstructured sources. Support a scalable cloud infrastructure for large-scale data processing using tools like Spark and Databricks. Ensure data privacy and compliance with HIPAA, GDPR … checks and anomaly detection systems. Collaborate with cross-functional teams (engineering, product, clinical, bioinformatics) to align on goals and deliver research-ready data. Required Qualifications Direct experience working with EHR data , biobank records, or clinical data platforms. Strong skills in Python and SQL , with a proven track record working in cloud environments like AWS, GCP, or Azure. More ❯

Role: As a Healthcare Data Engineer you will design, build, and scale data pipelines that powers their disease prediction platform. You'll be at the forefront of harmonizing diverse EHR datasets, ensuring clinical data is standardized, interoperable, and research-ready. This hands-on role requires deep experience with ETL workflows, clinical ontologies like HL7 FHIR and OMOP, and the ability … data using formats like HL7 FHIR, OMOP, SNOMED, ICD-10, and LOINC to ensure interoperability. Build and maintain ETL pipelines to ingest, de-identify, and unify data from various EHR systems, including structured and unstructured sources. Support a scalable cloud infrastructure for large-scale data processing using tools like Spark and Databricks. Ensure data privacy and compliance with HIPAA, GDPR … checks and anomaly detection systems. Collaborate with cross-functional teams (engineering, product, clinical, bioinformatics) to align on goals and deliver research-ready data. Required Qualifications Direct experience working with EHR data , biobank records, or clinical data platforms. Strong skills in Python and SQL , with a proven track record working in cloud environments like AWS, GCP, or Azure. More ❯

Role: As a Healthcare Data Engineer you will design, build, and scale data pipelines that powers their disease prediction platform. You'll be at the forefront of harmonizing diverse EHR datasets, ensuring clinical data is standardized, interoperable, and research-ready. This hands-on role requires deep experience with ETL workflows, clinical ontologies like HL7 FHIR and OMOP, and the ability … data using formats like HL7 FHIR, OMOP, SNOMED, ICD-10, and LOINC to ensure interoperability. Build and maintain ETL pipelines to ingest, de-identify, and unify data from various EHR systems, including structured and unstructured sources. Support a scalable cloud infrastructure for large-scale data processing using tools like Spark and Databricks. Ensure data privacy and compliance with HIPAA, GDPR … checks and anomaly detection systems. Collaborate with cross-functional teams (engineering, product, clinical, bioinformatics) to align on goals and deliver research-ready data. Required Qualifications Direct experience working with EHR data , biobank records, or clinical data platforms. Strong skills in Python and SQL , with a proven track record working in cloud environments like AWS, GCP, or Azure. More ❯

Role: As a Healthcare Data Engineer you will design, build, and scale data pipelines that powers their disease prediction platform. You'll be at the forefront of harmonizing diverse EHR datasets, ensuring clinical data is standardized, interoperable, and research-ready. This hands-on role requires deep experience with ETL workflows, clinical ontologies like HL7 FHIR and OMOP, and the ability … data using formats like HL7 FHIR, OMOP, SNOMED, ICD-10, and LOINC to ensure interoperability. Build and maintain ETL pipelines to ingest, de-identify, and unify data from various EHR systems, including structured and unstructured sources. Support a scalable cloud infrastructure for large-scale data processing using tools like Spark and Databricks. Ensure data privacy and compliance with HIPAA, GDPR … checks and anomaly detection systems. Collaborate with cross-functional teams (engineering, product, clinical, bioinformatics) to align on goals and deliver research-ready data. Required Qualifications Direct experience working with EHR data , biobank records, or clinical data platforms. Strong skills in Python and SQL , with a proven track record working in cloud environments like AWS, GCP, or Azure. More ❯

Role: As a Healthcare Data Engineer you will design, build, and scale data pipelines that powers their disease prediction platform. You'll be at the forefront of harmonizing diverse EHR datasets, ensuring clinical data is standardized, interoperable, and research-ready. This hands-on role requires deep experience with ETL workflows, clinical ontologies like HL7 FHIR and OMOP, and the ability … data using formats like HL7 FHIR, OMOP, SNOMED, ICD-10, and LOINC to ensure interoperability. Build and maintain ETL pipelines to ingest, de-identify, and unify data from various EHR systems, including structured and unstructured sources. Support a scalable cloud infrastructure for large-scale data processing using tools like Spark and Databricks. Ensure data privacy and compliance with HIPAA, GDPR … checks and anomaly detection systems. Collaborate with cross-functional teams (engineering, product, clinical, bioinformatics) to align on goals and deliver research-ready data. Required Qualifications Direct experience working with EHR data , biobank records, or clinical data platforms. Strong skills in Python and SQL , with a proven track record working in cloud environments like AWS, GCP, or Azure. More ❯

Role: As a Healthcare Data Engineer you will design, build, and scale data pipelines that powers their disease prediction platform. You'll be at the forefront of harmonizing diverse EHR datasets, ensuring clinical data is standardized, interoperable, and research-ready. This hands-on role requires deep experience with ETL workflows, clinical ontologies like HL7 FHIR and OMOP, and the ability … data using formats like HL7 FHIR, OMOP, SNOMED, ICD-10, and LOINC to ensure interoperability. Build and maintain ETL pipelines to ingest, de-identify, and unify data from various EHR systems, including structured and unstructured sources. Support a scalable cloud infrastructure for large-scale data processing using tools like Spark and Databricks. Ensure data privacy and compliance with HIPAA, GDPR … checks and anomaly detection systems. Collaborate with cross-functional teams (engineering, product, clinical, bioinformatics) to align on goals and deliver research-ready data. Required Qualifications Direct experience working with EHR data , biobank records, or clinical data platforms. Strong skills in Python and SQL , with a proven track record working in cloud environments like AWS, GCP, or Azure. More ❯

Role: As a Healthcare Data Engineer you will design, build, and scale data pipelines that powers their disease prediction platform. You'll be at the forefront of harmonizing diverse EHR datasets, ensuring clinical data is standardized, interoperable, and research-ready. This hands-on role requires deep experience with ETL workflows, clinical ontologies like HL7 FHIR and OMOP, and the ability … data using formats like HL7 FHIR, OMOP, SNOMED, ICD-10, and LOINC to ensure interoperability. Build and maintain ETL pipelines to ingest, de-identify, and unify data from various EHR systems, including structured and unstructured sources. Support a scalable cloud infrastructure for large-scale data processing using tools like Spark and Databricks. Ensure data privacy and compliance with HIPAA, GDPR … checks and anomaly detection systems. Collaborate with cross-functional teams (engineering, product, clinical, bioinformatics) to align on goals and deliver research-ready data. Required Qualifications Direct experience working with EHR data , biobank records, or clinical data platforms. Strong skills in Python and SQL , with a proven track record working in cloud environments like AWS, GCP, or Azure. More ❯

data science, or program evaluation Experience working on public health initiatives at the local, regional, or state level Knowledge of public health informatics, surveillance systems, and electronic health records (EHRs) Experience in environmental health assessments, health equity research, and social determinants of health analysis Prior experience securing funding More ❯

up advocacy and mobilise change agents or champions as required. Support stakeholder engagement and communication initiatives and identify and help to address any resistance. Core responsibility for ensuring patient care is considered within change management plans / activity and that the patient perspective as a key driver in continuous improvement. Responsible for reporting … Improvement, Clinical and Patient Safety Strategies as relevant particularly with identified key delivery principles. Deliver new solutions within the context of wider service improvement programmes, the EPR programme and service and strategic priorities. Support and contribute to the long-term strategic planning and alignment relating to the change management programme across both Trusts, primary care and all … understand the interdependencies across organisations and digital programmes of work. Identify opportunities, resources and obtain commitment for other information system projects that offer benefits to the Digital Transformation and EPR Programmes. Analytical Skills Impact Assessments : Assess the change impact and evaluate user readiness by conducting impact analyses, assess change readiness and identify key stakeholders. Manage Risk & Issues - Identify, analyse and More ❯

CD pipelines , and observability tooling (Prometheus, Grafana). Optimise real‐time data pipelines using Apache Kafka, Snowflake, and Postgres —ensuring low‐latency, high‐reliability ingestion from IoT sensors and EHR integrations. Collaborate with our Security & Compliance team to uphold SOC 2, ISO 27001, HIPAA / NHS DSPT controls; implement automated policy enforcement and audit trails. Automate GPU orchestration for More ❯

CD pipelines , and observability tooling (Prometheus, Grafana). Optimise real‐time data pipelines using Apache Kafka, Snowflake, and Postgres —ensuring low‐latency, high‐reliability ingestion from IoT sensors and EHR integrations. Collaborate with our Security & Compliance team to uphold SOC 2, ISO 27001, HIPAA / NHS DSPT controls; implement automated policy enforcement and audit trails. Automate GPU orchestration for More ❯

part of our Engineering team in London. We design, develop and operate all data systems across the company. This includes ETL, our data warehouses, real-time click streams, and EMR to support personalisation of content to our users. We are looking for someone to help us as we continue to evolve the architecture and technology stack of our data systems. … coupled with strong SQL skills. In addition, you will also have a strong desire to work with Docker, Kubernetes, Airflow and the AWS data technologies such as Athena, Redshift, EMR and various other tools in the AWS ecosystem. You would be joining a team of 25+ engineers across mobile, web, data and platform. We look for engineers who have excellent More ❯

computing. • You have additional nice-to-have experience in the following areas: database engines (Microsoft SQL Server, Aerospike, Vertica, Redis), building micro-services, operating systems and cloud, Kubernetes, Kafka, EMR, Spark. A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you More ❯

and progressive technology companies anywhere. Amazon Web Service is building some of the largest distributed systems in the world. Amazon's Analytics offerings like ElasticSearch, QuickSight, Glue, Athena, LakeFormation, EMR, and RedShift are massively scaled services that make up a critical piece of the internet today. A successful Engineer joining the team will do much more than write code and More ❯

and progressive technology companies anywhere. Amazon Web Service is building some of the largest distributed systems in the world. Amazon's Analytics offerings like ElasticSearch, QuickSight, Glue, Athena, LakeFormation, EMR, and RedShift are massively scaled services that make up a critical piece of the internet today. A successful Engineer joining the team will do much more than write code and More ❯

Develop a data validation framework to automate quality control processes Requirements Over 3+ years of hands-on Python development experience for production systems Proficient in data cloud computing technologies (EMR, Databricks) within leading cloud platforms (AWS, Google Cloud, or Azure) Skilled in designing and implementing data pipelines using distributed storage platforms Demonstrated analytical skills and structured approach to software design More ❯