1277 Hipaa Jobs - Page 12

Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when theyre supported to live their best lives, and when they feel welcome to bring their whole selves to work. Thats one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. What You ll Be Doing: Senior ML Engineer We are seeking a highly experienced and innovative Senior Machine Learning Engineer to take end-to-end ownership of machine learning applications that directly impact our products and services. You will lead the design, development, release, and advancement of robust ML models, working closely with product owners, clinical stakeholders, and cross-functional engineering teams. Your role will be pivotal in translating complex business and clinical requirements into scalable, production-ready ML solutions. You ll be responsible not only for building models but also for managing their lifecycle from experimentation and validation to deployment, monitoring, and continuous improvement. This is a high-impact role for someone who thrives on accountability, collaboration, and delivering real-world value through machine learning. What You Will Be Doing: Design, develop, and deploy advanced machine learning models and algorithms to primarily improve the performance of our prior authorization platforms Construct advanced SQL queries, perform preprocessing, feature engineering, and transformations to analyze healthcare data and ensure high quality input for model training Collaborate with Product and Engineering teams to integrate and deploy ML models into development and production environments, spread across various locations in the US and India Work closely with clinicians and stakeholders to drive the development, efficacy, and improvement of our ML models Work with Infrastructure and Architecture teams to drive model efficiency, reliability, and scalability Leverage Azure DevOps for continuous integration and continuous deployment (CI/CD) of ML models Lead Machine Learning Operations (MLOps) to streamline the process of bringing a machine learning model into production, maintain, monitor, and identify opportunities for improvement Perform data mining as necessary to uncover insights, drive decision-making, and determine best channel approaches to drive automation across our platforms Implement feature flagging to rapidly pilot model enhancements, exception handling, and performance optimization Translate complex technical details into clear, actionable insights for stakeholders by telling stories through data Stay current with the latest advancements in ML and AI; testing and integrating new techniques into existing applications Mentor and guide junior engineers, fostering a culture of continuous learning and improvement Required Qualifications: Bachelor s Degree in Computer Science, Machine Learning, Data Science, or a related field Proficiency in Python for constructing data pipelines, and using ML frameworks and libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost Expertise in statistical methods, data structures, algorithms, feature engineering, transformations, and data mining 2+ years advanced experience in SQL, including experience writing new and efficient SQL queries for complex analytical tasks 2+ years of experience developing in a cloud environment (AWS, GCS, Azure) 2+ years of experience with Github, Github Actions, CI/CD, and source control 2+ years working within an Agile environment Passion for solving problems within healthcare that have tangible impacts on healthcare operations and patient lives Excel in solving ambiguous and complex problems, being able to navigate through uncertain solutions, breaking down complex challenges into manageable components, and developing innovative solutions Preferred Qualifications: Master s Degree or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field Healthcare experience, particularly using administrative and prior authorization data Proven experience with developing and deploying ML systems into production environments Proficiency using Azure cloud-based services and infrastructure, Azure ML Studio, and Azure MLOps Experience working with Product, Engineering, Infrastructure, and Architecture teams Experience with deep learning, reinforcement learning, NLP, and LLMs Experience with feature flagging Publications or contributions to the machine learning community To comply with HIPAA security standards (45 C.F.R. sec. 164.308 (a) (3)), identity verification may be required as part of the application process. This is collected for compliance and security purposes and only reviewed if an applicant advances to the final interview state. Reasonable accommodations are available upon request. Technical Requirements: We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations. Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruiting@evolent.com for further assistance. The expected base salary/wage range for this position is $. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.

Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when theyre supported to live their best lives, and when they feel welcome to bring their whole selves to work. Thats one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. What You ll Be Doing: MLOps Engineer We are seeking a highly capable MLOps Engineer to join our growing AI/ML Team. You will bridge the gap between data science and operations, ensuring that machine learning models are efficiently tested, deployed, monitored, and maintained in production environments. You will work closely with data scientists, software engineers, infrastructure, and development teams to build scalable and reliable ML infrastructure. You will be instrumental in supporting clinical decision-making, operational efficiency, quality outcomes, and patient care. What You Will Be Doing : Model Deployment and Infrastructure Design, build, and maintain scalable, secure ML pipelines for model training, validation, deployment, and monitoring Automate deployment workflows using CI/CD pipelines and infrastructure-as-code tools Partner with Infrastructure Teams to manage (Azure) cloud-based ML infrastructure, ensuring compliance with InfoSec and AI policies Ensure applications run at peak efficiency Model Testing, Monitoring, and Validation Develop rigorous testing frameworks for ML models, including clinical validation, traditional model performance measures, population segmentation, and edge-case analysis Build monitoring systems to detect model drift, overfitting, data anomalies, and performance degradation in real-time Continuously analyze model performance metrics and operational logs to identify improvement opportunities Translate monitoring insights into actionable recommendations for data scientists to improve model precision, recall, fairness, and efficiency Model Transparency & Governance Maintain detailed audit trails, logs, and metadata for all model versions, training datasets, and configurations to ensure full traceability and support internal audits Ensure models meet transparency and explainability standards using tools like SHAP, LIME, or integrated explainability APIs. Collaborate with data scientists and clinical teams to ensure models are interpretable, actionable, and aligned with practical applications Support corporate Compliance and AI Governance policies Advocate for best practices in ML engineering, including reproducibility, version control, and ethical AI Develop product guides, model documentation, and model cards for internal and external stakeholders Required Qualifications : Bachelor s Degree in Computer Science, Machine Learning, Data Science, or a related field 2+ years of experience in MLOps, DevOps, or ML engineering Proficiency in Python and ML frameworks such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD tools Familiarity with healthcare datasets and privacy regulations Strong analytical skills to interpret model performance data and identify optimization opportunities Proven ability to optimize application performance, including improving code efficiency, right-sizing infrastructure usage, and reducing system latency Experience implementing rollback strategies, including version control, rollback triggers, and safe deployment practices across lower and upper environments 2+ years of experience developing in a cloud environment (AWS, GCS, Azure) 2+ years of experience with Github, Github Actions, CI/CD, and source control 2+ years working within an Agile environment Preferred Qualifications : Experience with MLOps platforms like MLflow, TFX, or Kubeflow Healthcare experience, particularly using administrative and prior authorization data Proven experience with developing and deploying ML systems into production environments Experience working with Product, Engineering, Infrastructure, and Architecture teams Proficiency using Azure cloud-based services and infrastructure such as Azure MLOps Experience with feature flagging tools and strategies To comply with HIPAA security standards (45 C.F.R. sec. 164.308 (a) (3)), identity verification may be required as part of the application process. This is collected for compliance and security purposes and only reviewed if an applicant advances to the final interview state. Reasonable accommodations are available upon request. Technical Requirements: We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations. Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruiting@evolent.com for further assistance. The expected base salary/wage range for this position is $. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.

Your Future Evolves Here Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when theyre supported to live their best lives, and when they feel welcome to bring their whole selves to work. Thats one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. What You ll Be Doing: Senior ML Engineer We are seeking a highly experienced and innovative Senior Machine Learning Engineer to take end-to-end ownership of machine learning applications that directly impact our products and services. You will lead the design, development, release, and advancement of robust ML models, working closely with product owners, clinical stakeholders, and cross-functional engineering teams. Your role will be pivotal in translating complex business and clinical requirements into scalable, production-ready ML solutions. You ll be responsible not only for building models but also for managing their lifecycle from experimentation and validation to deployment, monitoring, and continuous improvement. This is a high-impact role for someone who thrives on accountability, collaboration, and delivering real-world value through machine learning. What You Will Be Doing: Design, develop, and deploy advanced machine learning models and algorithms to primarily improve the performance of our prior authorization platforms Construct advanced SQL queries, perform preprocessing, feature engineering, and transformations to analyze healthcare data and ensure high quality input for model training Collaborate with Product and Engineering teams to integrate and deploy ML models into development and production environments, spread across various locations in the US and India Work closely with clinicians and stakeholders to drive the development, efficacy, and improvement of our ML models Work with Infrastructure and Architecture teams to drive model efficiency, reliability, and scalability Leverage Azure DevOps for continuous integration and continuous deployment (CI/CD) of ML models Lead Machine Learning Operations (MLOps) to streamline the process of bringing a machine learning model into production, maintain, monitor, and identify opportunities for improvement Perform data mining as necessary to uncover insights, drive decision-making, and determine best channel approaches to drive automation across our platforms Implement feature flagging to rapidly pilot model enhancements, exception handling, and performance optimization Translate complex technical details into clear, actionable insights for stakeholders by telling stories through data Stay current with the latest advancements in ML and AI; testing and integrating new techniques into existing applications Mentor and guide junior engineers, fostering a culture of continuous learning and improvement Required Qualifications: Bachelor s Degree in Computer Science, Machine Learning, Data Science, or a related field Proficiency in Python for constructing data pipelines, and using ML frameworks and libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost Expertise in statistical methods, data structures, algorithms, feature engineering, transformations, and data mining 2+ years advanced experience in SQL, including experience writing new and efficient SQL queries for complex analytical tasks 2+ years of experience developing in a cloud environment (AWS, GCS, Azure) 2+ years of experience with Github, Github Actions, CI/CD, and source control 2+ years working within an Agile environment Passion for solving problems within healthcare that have tangible impacts on healthcare operations and patient lives Excel in solving ambiguous and complex problems, being able to navigate through uncertain solutions, breaking down complex challenges into manageable components, and developing innovative solutions Preferred Qualifications: Master s Degree or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field Healthcare experience, particularly using administrative and prior authorization data Proven experience with developing and deploying ML systems into production environments Proficiency using Azure cloud-based services and infrastructure, Azure ML Studio, and Azure MLOps Experience working with Product, Engineering, Infrastructure, and Architecture teams Experience with deep learning, reinforcement learning, NLP, and LLMs Experience with feature flagging Publications or contributions to the machine learning community To comply with HIPAA security standards (45 C.F.R. sec. 164.308 (a) (3)), identity verification may be required as part of the application process. This is collected for compliance and security purposes and only reviewed if an applicant advances to the final interview state. Reasonable accommodations are available upon request. Technical Requirements: We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations. for further assistance. The expected base salary/wage range for this position is $. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.

Aster Medcity is looking for Associate.Medical Records.MIMS Hospital Calicut to join our dynamic team and embark on a rewarding career journey Processing requisition and other business forms, checking account balances, and approving purchases. Advising other departments on best practices related to fiscal procedures. Managing account records, issuing invoices, and handling payments. Collaborating with internal departments to reconcile any accounting discrepancies. Analyzing financial data and assisting with audits, reviews, and tax preparations. Updating financial spreadsheets and reports with the latest available data. Preparation of operating budgets, financial statements, and reports. Reviewing existing financial policies and procedures to ensure regulatory compliance. Providing assistance with payroll administration. Keeping records and documenting financial processe

The Quality Analyst provides direct assistance to the ROI Account Manager and is responsible for reviewing, processing, and releasing medical records in a variety of mediums (i.e. mail, fax, email, etc.). The Quality Analyst reports to their Team Lead, Providing and logging detailed and accurate information on each file/chart processed in accordance with MediCopys policies/procedures. Updating and maintaining an accurate Accounting of Disclosures for all activities and processes associated with medical records requests. Providing world-class customer service to patients and clients while ensuring patient privacy. Handling high call volumes while maintaining a high level of service and professionalism. Maintaining all established production/quality goals, while managing assigned accounts within MediCopys established turn-around time. Reports to Team Operations Manager and/or Director of Operations as necessary. Primary Responsibilities: Reviewing records pulled by the ROI Account Manager to ensure accuracy and compliance with MediCopy policies/procedures as well as state/federal regulations. Creating invoices for medical record requests in accordance with state/federal regulations, when necessary. Skills/Qualifications: Thorough and detail-oriented Professional demeanor Customer oriented disposition Demonstrate a positive attitude, and be able to interact well with employees Demonstrate excellent communication skills Proven consistent dependability and attendance Confidentiality and discretion is required Ability to conduct and interpret HIPAA/Privacy Guidelines Solid organizational skills, including multitasking and time-management and the flexibility to adapt to frequent changes in the industry. High School Diploma/GED required.

Your Future Evolves Here Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving force that brings us to work each day. We believe in embracing new ideas, challenging ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference working in everything from scrubs to jeans. Are we growingAbsolutely and Globally. In 2021 we grew our teams by almost 50% and continue to grow even more in 2022. Are we recognized as a company you are supported by for your career and growth, and a great place to workDefinitely. Evolent Health International (Pune, India) has been certified as Great Places to Work in 2021. In 2020 and 2021 Evolent in the U.S. was both named Best Company for Women to Advance list by Parity.org and earned a perfect score on the Human Rights Campaign (HRC) Foundation s Corporate Equality Index (CEI). This index is the nations foremost benchmarking survey and report measuring corporate policies and practices related to LGBTQ+ workplace equality. We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you re looking for a place where your work can be personally and professionally rewarding, don t just join a company with a mission. Join a mission with a company behind it. What You ll Be Doing: Responsibilities Analyze and validate the data content of files to be ingested. Ensure data integrity and accuracy during the data ingestion process. Collaborate with cross-functional teams to understand data requirements and business needs. Develop and implement data validation and quality control processes. Identify and resolve data discrepancies and inconsistencies. Create and maintain documentation related to data analysis and ingestion processes. Generate reports and provide insights based on data analysis. Assist in the development and maintenance of data management systems. Requirements Bachelors degree in health informatics, Statistics, Mathematics, Computer Science, or a related field. A minimum of 4 years of experience in data analysis and data management. Proficiency in SQL and data analysis tools (e.g., SAS, R, Python). Strong understanding of healthcare data and healthcare payer systems. Excellent analytical and problem-solving skills. Strong attention to detail and accuracy . Effective communication skills, both written and verbal. Ability to work independently and as part of a team. Experience with Extract, Transform, Load (ETL) processes. Knowledge of healthcare regulations and compliance standards (e.g., HIPAA). Familiarity with data visualization tools (e.g., Tableau, Power BI). Experience in project management and leading data-related projects. #LI-remote Mandatory Requirements: Employees must have a high-speed broadband internet connection with a minimum speed of 50 Mbps and the ability to set up a wired connection to their home network to ensure effective remote work. These requirements may be updated as needed by the business. Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status .

Healthcare experience is Mandatory Position Overview : We are seeking an experienced Data Modeler/Lead with deep expertise in health plan data models and enterprise data warehousing to drive our healthcare analytics and reporting initiatives. The candidate should have hands-on experience with modern data platforms and a strong understanding of healthcare industry data standards. Key Responsibilities : Data Architecture & Modeling : - Design and implement comprehensive data models for health plan operations, including member enrollment, claims processing, provider networks, and medical management - Develop logical and physical data models that support analytical and regulatory reporting requirements (HEDIS, Stars, MLR, risk adjustment) - Create and maintain data lineage documentation and data dictionaries for healthcare datasets - Establish data modeling standards and best practices across the organization Technical Leadership : - Lead data warehousing initiatives using modern platforms like Databricks or traditional ETL tools like Informatica - Architect scalable data solutions that handle large volumes of healthcare transactional data - Collaborate with data engineers to optimize data pipelines and ensure data quality Healthcare Domain Expertise : - Apply deep knowledge of health plan operations, medical coding (ICD-10, CPT, HCPCS), and healthcare data standards (HL7, FHIR, X12 EDI) - Design data models that support analytical, reporting and AI/ML needs - Ensure compliance with healthcare regulations including HIPAA/PHI, and state insurance regulations - Partner with business stakeholders to translate healthcare business requirements into technical data solutions Data Governance & Quality : - Implement data governance frameworks specific to healthcare data privacy and security requirements - Establish data quality monitoring and validation processes for critical health plan metrics - Lead eAorts to standardize healthcare data definitions across multiple systems and data sources Required Qualifications : Technical Skills : - 10+ years of experience in data modeling with at least 4 years focused on healthcare/health plan data - Expert-level proficiency in dimensional modeling, data vault methodology, or other enterprise data modeling approaches - Hands-on experience with Informatica PowerCenter/IICS or Databricks platform for large-scale data processing - Strong SQL skills and experience with Oracle Exadata and cloud data warehouses (Databricks) - Proficiency with data modeling tools (Hackolade, ERwin, or similar) Healthcare Industry Knowledge : - Deep understanding of health plan data structures including claims, eligibility, provider data, and pharmacy data - Experience with healthcare data standards and medical coding systems - Knowledge of regulatory reporting requirements (HEDIS, Medicare Stars, MLR reporting, risk adjustment) - Familiarity with healthcare interoperability standards (HL7 FHIR, X12 EDI) Leadership & Communication : - Proven track record of leading data modeling projects in complex healthcare environments - Strong analytical and problem-solving skills with ability to work with ambiguous requirements - Excellent communication skills with ability to explain technical concepts to business stakeholders - Experience mentoring team members and establishing technical standards Preferred Qualifications : - Experience with Medicare Advantage, Medicaid, or Commercial health plan operations - Cloud platform certifications (AWS, Azure, or GCP) - Experience with real-time data streaming and modern data lake architectures - Knowledge of machine learning applications in healthcare analytics - Previous experience in a lead or architect role within healthcare organization

Company Description: eHealth Technologies is a leading healthcare technology company that advances the delivery of life-altering care. Since 2006, we have decreased time to treatment for millions of patients and are trusted by the top healthcare systems, HIEs, and CROs throughout the United States. Our advanced technology and compassionate team expedite the collection, organization, and delivery of medical records, images, and pathology materials so that care teams have exactly what they need, where they need it, to get their patients back on the road to recovery as quickly as possible. Our team takes great pride in working behind the scenes for 80% of the top hospitals to help hundreds of thousands of patients every year. Career Opportunity Description: This role is a member of eHealth Technologies Operational Excellence team, which leads a team of Quality Analysts in several functional areas and ensures compliance with accepted processes and procedures and regulatory requirements. This individual will be passionate about working for a global company, and embody a servant leadership approach prioritizing the growth, well-being, and empowerment of employees to meet team, department, and organization goals . This position is employee, vendor, and customer facing and requires solid customer service, organizational and follow through skills. The person chosen for this opportunity will have experience working in a dynamic, fast paced, technical, team-oriented work environment that is guided by and always upholds company core values. Primary Responsibilities: Opex Management - Lead and manage end-to-end project execution across multiple teams and geographies (US, HYD, AUG, Pune). - Define project scope, goals, deliverables, and timelines in alignment with organizational objectives. - Monitor project progress, identify risks, and implement mitigation strategies. - Drive Operational Excellence (OpEx) initiatives and continuous improvement programs. - Ensure compliance with HIPAA and internal data privacy/security protocols. Quality Process Management a. On a monthly basis perform random audits across all Operations team members. b. Ensure all focused audit done in a timely manner. c. Create a pareto of the top errors and determine root cause(s). d. Identify corrective/preventive actions and then work with the Operations Managers to reduce these errors. e. Teach/coach/mentor lower performing team members with a clearly defined goal to improve their individual attainment and/or quality score. f. Adheres to established business processes, policies, and regulations. g. Ensures all workflow, SOPs, policies, and procedures are followed appropriately with emphasis on strict adherence to HIPAA guidelines. h. Performs at a high level of quality to eliminate the potential for incorrect transfer of Patient Health Information. i. Maintains effective communication and good relationships with all eHealth employees. Designing, implementing, and overseeing Quality Assurance processes in other departments/teams as required Liaising with the Director of Human Resources/Manager of Training to communicate training needs as identified in the Quality Assurance process. Various additional duties as determined necessary by eHealth Technologies. BQM management from Quality standpoint overall (US, HYD, AUG & Pune) Driving OpEx projects. Communicate with managers with QA as well as OpEx team alignment. QA s Learning / development plan creation and Execution. Leadership & Supervision: Support & drive the Company s Mission, Vision, Values, and strategic objectives and key results. Support the departmental recruitment process by completing interviews and providing timely feedback in the candidate selection process. Plans/hosts engagement team activities (virtual and/or in person) on at least a semi-annual basis. Responsible for approving by-monthly/monthly reporting for all Quality Assurance team members, including approving/denying PTO requests, etc. Installs a strong sense of customer focus and professionalism throughout the team. Always expected to role model company values when interacting with individuals from his/her team, customers, internal partners, etc. Motivates the team in a calm and positive manner to ensure their success while providing development opportunities for Quality Analysts to exceed expectations on a regular basis. Provides regular team member recognition, including personal recognition and recognizing team members throughout the larger organization through avenues such as emails, Kudos Corner, Town Hall recognition, and other company wide recognition opportunities. Creates and supports a culture of trust, engagement, and inclusion for all employees. Routinely monitors Team members individual performance and quality and takes necessary actions to address any performance or quality issues as soon as possible. Writes and delivers 30/60/90 day and annual performance reviews and develops goals for each Quality Analyst including a developmental action plan that is reviewed and updated on a quarterly basis and shared with Director of Operational Excellence for their individual growth and development and future progression based on the employees career aspirations. Monitors individual growth and development of each Quality Analyst to ensure they are performing to their best abilities. Provides ongoing performance feedback to Quality Analyst to enable them to successfully meet/exceed their job expectations. Assesses and promotes training opportunities to continually increase the skill of team members. Proactively works to creatively solve problems and overcome challenges. Management reporting: Monitors progression of workload activities daily and reports on an as needed basis highlighting potential customer issues. Escalates issues immediately to Director of Operational Excellence as needed. Information Privacy and Security In an effort to safeguard the information privacy and security of all covered information Employee shall also be responsible for: Following eHealth Technologies information privacy and security policies, procedures, standard operating procedures, appendices, attachments, etc. Accessing, using, and disclosing only the minimum necessary covered information that is needed for job responsibilities, or otherwise allowed by law. Safeguarding the confidentiality, integrity, and availability of covered information at all times, whether or not on duty. Knowledge and Skill Requirements: High School Diploma or GED required. Bachelor s degree in business or similar field preferred. Two (2) years equivalent experience minimum required Two (2) years supervisory role preferred. Green Belt certified / Know of Six sigma tools. Knows how to create Process Map & SOPs. Call center experience desired. Working knowledge of HIPAA regulations and medical terminology Demonstrated excellence in effective and professional communications (written and verbal) with internal and external customers and all levels of management. Detail oriented and exhibits a sense of urgency to achieve desired results. Strong leadership and organizational skills and the ability to handle multiple tasks. Results-driven, action-oriented, and self-motivated mindset. Must be experienced and comfortable working in a fast-paced entrepreneurial environment and able to deal well with change and ambiguity Proficiency in all aspects of PC utilization including MS office, Sales Force. Ability to complete tasks accurately and within strict time constraints Ability to simultaneously manage several projects. Key Relationships: 1. Supervises a team of Quality Analysis and Operation Excellence Specialists 2. Directly supervised by Director of Operational Excellence 3. Interacts regularly with eHealth Technologies staff, customers, vendors, and community businesses. Essential Functions: 1. Physical Requirements: Extended periods of time typing, data entry, sitting, ready, writing. Lifting up to 20 lbs. 2. Mental Requirements include: General, Visual, and Numerical Intelligence. Analytical skills. 3. Work requires willingness to occasionally work a flexible schedule. 4. Work from the office 5. Schedule will overlap with US EST timing

Healthcare experience is Mandatory Position Overview : We are seeking an experienced Data Modeler/Lead with deep expertise in health plan data models and enterprise data warehousing to drive our healthcare analytics and reporting initiatives. The candidate should have hands-on experience with modern data platforms and a strong understanding of healthcare industry data standards. Key Responsibilities : Data Architecture & Modeling : - Design and implement comprehensive data models for health plan operations, including member enrollment, claims processing, provider networks, and medical management - Develop logical and physical data models that support analytical and regulatory reporting requirements (HEDIS, Stars, MLR, risk adjustment) - Create and maintain data lineage documentation and data dictionaries for healthcare datasets - Establish data modeling standards and best practices across the organization Technical Leadership : - Lead data warehousing initiatives using modern platforms like Databricks or traditional ETL tools like Informatica - Architect scalable data solutions that handle large volumes of healthcare transactional data - Collaborate with data engineers to optimize data pipelines and ensure data quality Healthcare Domain Expertise : - Apply deep knowledge of health plan operations, medical coding (ICD-10, CPT, HCPCS), and healthcare data standards (HL7, FHIR, X12 EDI) - Design data models that support analytical, reporting and AI/ML needs - Ensure compliance with healthcare regulations including HIPAA/PHI, and state insurance regulations - Partner with business stakeholders to translate healthcare business requirements into technical data solutions Data Governance & Quality : - Implement data governance frameworks specific to healthcare data privacy and security requirements - Establish data quality monitoring and validation processes for critical health plan metrics - Lead eAorts to standardize healthcare data definitions across multiple systems and data sources Required Qualifications : Technical Skills : - 10+ years of experience in data modeling with at least 4 years focused on healthcare/health plan data - Expert-level proficiency in dimensional modeling, data vault methodology, or other enterprise data modeling approaches - Hands-on experience with Informatica PowerCenter/IICS or Databricks platform for large-scale data processing - Strong SQL skills and experience with Oracle Exadata and cloud data warehouses (Databricks) - Proficiency with data modeling tools (Hackolade, ERwin, or similar) Healthcare Industry Knowledge : - Deep understanding of health plan data structures including claims, eligibility, provider data, and pharmacy data - Experience with healthcare data standards and medical coding systems - Knowledge of regulatory reporting requirements (HEDIS, Medicare Stars, MLR reporting, risk adjustment) - Familiarity with healthcare interoperability standards (HL7 FHIR, X12 EDI) Leadership & Communication : - Proven track record of leading data modeling projects in complex healthcare environments - Strong analytical and problem-solving skills with ability to work with ambiguous requirements - Excellent communication skills with ability to explain technical concepts to business stakeholders - Experience mentoring team members and establishing technical standards Preferred Qualifications : - Experience with Medicare Advantage, Medicaid, or Commercial health plan operations - Cloud platform certifications (AWS, Azure, or GCP) - Experience with real-time data streaming and modern data lake architectures - Knowledge of machine learning applications in healthcare analytics - Previous experience in a lead or architect role within healthcare organization

We are seeking a highly capable MLOps Engineer to join our growing AI/ML Team. You will bridge the gap between data science and operations, ensuring that machine learning models are efficiently tested, deployed, monitored, and maintained in production environments. You will work closely with data scientists, software engineers, infrastructure, and development teams to build scalable and reliable ML infrastructure. You will be instrumental in supporting clinical decision-making, operational efficiency, quality outcomes, and patient care. What You Will Be Doing : Model Deployment and Infrastructure Design, build, and maintain scalable, secure ML pipelines for model training, validation, deployment, and monitoring Automate deployment workflows using CI/CD pipelines and infrastructure-as-code tools Partner with Infrastructure Teams to manage (Azure) cloud-based ML infrastructure, ensuring compliance with InfoSec and AI policies Ensure applications run at peak efficiency Model Testing, Monitoring, and Validation Develop rigorous testing frameworks for ML models, including clinical validation, traditional model performance measures, population segmentation, and edge-case analysis Build monitoring systems to detect model drift, overfitting, data anomalies, and performance degradation in real-time Continuously analyze model performance metrics and operational logs to identify improvement opportunities Translate monitoring insights into actionable recommendations for data scientists to improve model precision, recall, fairness, and efficiency Model Transparency & Governance Maintain detailed audit trails, logs, and metadata for all model versions, training datasets, and configurations to ensure full traceability and support internal audits Ensure models meet transparency and explainability standards using tools like SHAP, LIME, or integrated explainability APIs. Collaborate with data scientists and clinical teams to ensure models are interpretable, actionable, and aligned with practical applications Support corporate Compliance and AI Governance policies Advocate for best practices in ML engineering, including reproducibility, version control, and ethical AI Develop product guides, model documentation, and model cards for internal and external stakeholders Required Qualifications bachelors Degree in Computer Science, Machine Learning, Data Science, or a related field 2+ years of experience in MLOps, DevOps, or ML engineering Proficiency in Python and ML frameworks such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD tools Familiarity with healthcare datasets and privacy regulations Strong analytical skills to interpret model performance data and identify optimization opportunities Proven ability to optimize application performance, including improving code efficiency, right-sizing infrastructure usage, and reducing system latency Experience implementing rollback strategies, including version control, rollback triggers, and safe deployment practices across lower and upper environments 2+ years of experience developing in a cloud environment (AWS, GCS, Azure) 2+ years of experience with Github, Github Actions, CI/CD, and source control 2+ years working within an Agile environment Preferred Qualifications : Experience with MLOps platforms like MLflow, TFX, or Kubeflow Healthcare experience, particularly using administrative and prior authorization data Proven experience with developing and deploying ML systems into production environments Experience working with Product, Engineering, Infrastructure, and Architecture teams Proficiency using Azure cloud-based services and infrastructure such as Azure MLOps Experience with feature flagging tools and strategies

Varex Imaging, headquartered in Salt Lake City, USA, is a leading innovator, developer, and manufacturer of X-ray imaging component solutions, which includes X-ray tubes, digital flat panel detectors, software, and other key components of X-ray imaging systems. With a 70+ year history of successful innovation, you will find our components in numerous medical, industrial, and security imaging applications worldwide. Contracts Negotiator and Data Privacy Specialist Our Contract & Data Privacy Specialist will play a critical role in ensuring effective contract management, legal compliance, and robust data privacy practices within our organization. This position involves managing contractual relationships, ensuring compliance with global data privacy regulations, and fostering a culture of data protection and integrity. Let us start with making the invisible visible for youWe have started our India manufacturing operations with a brownfield setup and are just a step away from establishing our own greenfield manufacturing setup. For this new and exciting chapter of Varex, we are looking for highly motivated people to help us to succeed in our business operations in India. We are looking for a Contract & Data Privacy Specialist who will play a critical role in ensuring effective contract management, legal compliance, and robust data privacy practices within our organization. This position involves managing contractual relationships, ensuring compliance with global data privacy regulations, and fostering a culture of data protection and integrity. This position is in-office position as the individual is expected to provide hands on support to the team. Your role... Contract Management: Individually support and perform contract management activities for Legal and Business Teams, Compliance Professionals, and other stakeholders. Manage contract processes for various agreements (e.g., CDAs, consultancy agreements, vendor agreements, MSAs) in direct collaboration with global legal teams. Draft, review, and negotiate contracts and other legal documents (commercial, clinical, etc.) in alignment with applicable laws, regulations, and company policies. Utilize internal tools and follow established processes to ensure compliance operations. Data Privacy: Ensure compliance with global data privacy regulations (DPDPA, GDPR, CCPA, HIPAA, and other applicable laws) Manage data processing agreements and third-party vendor privacy assessments Support on the conduct of privacy impact assessments for new projects, systems, and processes Support on responding to and managing data subject access requests in accordance with applicable regulations Advise stakeholders on privacy-by-design principles for new products and services Support on the development, implementation, and maintenance privacy policies, procedures, and notices Monitor privacy compliance across the organization through regular audits and assessments Collaborate with IT Security, Global Data Privacy Officer and the legal team on data protection measures and incident response Provide training sessions and materials to raise data privacy awareness among employees Your profile... Bachelors degree in law; additional certification in data privacy (CIPP/A, CIPM, or equivalent) beneficial Minimum of 3 years of experience in contract negotiation Experience in data privacy compliance Experience in a global company preferred Strong written and oral communication as well as negotiation skills. Attention to detail and ability to work independently. Proficiency in legal drafting and contract review. Knowledge of data privacy frameworks, compliance processes, and tools Experience with privacy impact assessments and data mapping beneficial Excellent communication and interpersonal skills. Ability to operate in global company with matrixed reporting Collaborative team player with a positive demeanor

Company Overview: Mazars Advisory LLP is a leading consulting firm specializing in providing comprehensive solutions to organizations across various industries. We are committed to helping our clients navigate complex challenges and achieve their business objectives through innovative strategies and expert guidance. Job Description Position Overview: As a Data Privacy Consultant, you will play a pivotal role in ensuring compliance with data protection regulations and best practices. You will work closely with internal teams and clients to assess their current data handling processes, identify areas of risk, and develop strategies to mitigate these risks effectively. Key Responsibilities: 1. Conduct comprehensive assessments of client data processing activities to identify privacy risks and compliance gaps. 2. Develop and implement privacy policies, procedures, and documentation tailored to the specific needs of each client. 3. Provide expert guidance and support on data protection regulations such as GDPR, CCPA, and other relevant privacy laws. 4. Design and deliver privacy training programs to educate employees and stakeholders on their responsibilities and best practices. 5. Assist in the development and maintenance of data processing agreements, privacy notices, and consent mechanisms. 6. Collaborate with cross-functional teams to integrate privacy considerations into new products, services, and business processes. 7. Perform data protection impact assessments (DPIAs) and advise on measures to minimize privacy risks. 8. Stay updated on emerging privacy trends, technologies, and regulatory changes to ensure ongoing compliance and effectiveness of privacy programs. 9. Support clients in responding to data subject rights requests, incidents, and regulatory inquiries. 10. Serve as a trusted advisor to clients, offering strategic guidance and recommendations to enhance their privacy posture. Qualifications: 1. Bachelor's degree in Law, Information Security, Computer Science, or related field. 2. 2-5 years of experience in data privacy, compliance, or related field. 3. Strong understanding of data protection regulations such as GDPR, CCPA, HIPAA, etc. 4. Experience conducting privacy assessments, audits, and developing remediation plans. 5. Excellent communication skills with the ability to articulate complex privacy concepts to non-technical audiences. 6. Professional certifications such as CIPP/E, CIPP/US, CIPM, CIPT, or similar are preferred. 7. Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities simultaneously. 8. Strong analytical and problem-solving skills, with attention to detail. 9. Proficiency in privacy management tools and technologies is a plus. 10. Commitment to continuous learning and professional development in the field of data privacy.

Review the claim allocated and check status by calling the payer or through IVRWeb Portal Ask a series of relevant questions depending on the issue with the claim and record the responses Prepare call notes, initiate or execute the corrective measures by sending necessary documents to Payers Record the actions and post the notes on the clients revenue cycle platform Us e appropriate client specific call note standards for documentation Adhere to Companys information, HIPAA and security guidelines Be in the center of ethical behavior and never on the sidelines Job Profile: Should have worked as an AR Caller for at least 2 years to 4 years with medical billing service providers Good knowledge of Revenue Cycle and Denial Management concept Positive attitude to solve problems Ability to absorb clients business rules Strong communication skills with a neutral accent Graduate degree in any field Note- Immediate Joiners preferred. Schedule: Night shift Experience: AR Caller: 1 year (Preferred)

Video editor Short format videos - reels, yt shorts, motion videos Long format videos- yt videos, podcast video, product promotion videos Software- Premiere, after effects, Job Title: Video Editor – Healthcare Industry Location: Andheri West, Mumbai Job Type: Full-Time Department: Marketing Job Overview: We are seeking a talented and detail-oriented Video Editor with experience or strong interest in the healthcare industry. You will be responsible for creating compelling, high-quality video content that communicates complex medical information clearly and effectively to patients, professionals, and the broader community. This includes promotional videos, patient education, training materials, and social media content. Key Responsibilities: Edit raw footage into engaging video content for various platforms (YouTube, social media, internal training, patient portals). Collaborate with healthcare professionals, marketing teams, and creative staff to understand video goals and target audiences. Enhance video content with appropriate graphics, animations, subtitles, and effects while maintaining brand consistency. Ensure medical terminology and procedures are represented accurately and sensitively. Manage multiple video projects and meet tight deadlines in a fast-paced environment. Organize and archive video assets for easy retrieval and future use. Stay updated on video trends, especially in healthcare communication and education. Optimize videos for accessibility, including closed captions and screen-reader compatibility. Qualifications: Proven experience as a video editor (portfolio required), preferably in healthcare or a regulated industry. Proficiency with Adobe Premiere Pro, After Effects, Final Cut Pro, or similar video editing tools. Strong storytelling skills with a focus on clarity and empathy. Understanding of HIPAA guidelines and patient privacy best practices is a plus. Ability to collaborate with non-creative staff (e.g., doctors, nurses, compliance teams) and translate technical input into accessible visuals. Experience with motion graphics, animation, or 3D medical illustrations is a plus. Bachelor's degree in Film Production, Digital Media, Communications, or a related field preferred. Interested applicant can share there CV on [email protected] Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Schedule: Day shift Application Question(s): How many years of experience do you have as a Video Editor? What is your Current CTC? What is your Notice Period? What is your Current Location? Are you comfortable with Andheri West Mumbai location? Work Location: In person

As a versatile Content & Brand Copy Strategist specializing in Legal and Healthcare SaaS, you will be responsible for shaping the voice and messaging of FloatLegal and FloatCare. These two innovative platforms aim to revolutionize how law firms and healthcare providers manage personal injury cases. Your role will involve writing across various formats, including high-conversion sales copy, engaging social posts, blog articles, email campaigns, training materials, and compliance-aware website content. Key Responsibilities: - Crafting clear, concise, and engaging content tailored for website and landing pages, social media campaigns, blog articles related to legal-tech, healthcare workflow, and personal injury industry, sales materials such as brochures, one-pagers, and slide decks, internal and external training materials, and email marketing copy for outreach and lifecycle. - Collaborating with marketing, sales, and product teams to ensure messaging aligns with customer pain points. - Maintaining a consistent tone of voice that is professional, accessible, and trusted across all platforms. - Ensuring all content complies with HIPAA and legal standards by avoiding over-promises, using correct terminology, and employing privacy-safe phrasing. - Optimizing content for readability, SEO, and conversion goals. - Demonstrating a good understanding of microcopies. - Taking ownership of cross-channel content development and strategically managing brand tone and messaging. What We're Looking For: - Minimum 5 years of experience in B2B SaaS content writing, preferably in legal-tech or health-tech. - Strong understanding of personal injury law firm operations and/or healthcare provider workflows. - Experience in writing for diverse formats and audiences, including lawyers, clinic managers, and patients. - Familiarity with HIPAA, data privacy regulations, and industry-specific compliance language. - Ability to balance emotional storytelling with technical clarity. - A robust portfolio showcasing short- and long-form writing samples. - Experience collaborating with designers and video teams on content for motion/animated explainers. If you can think like a strategist, write like a storyteller, and ensure compliance like an officer, we are excited to hear from you.,

As an Annotation Quality Lead, you will play a crucial role in ensuring the accuracy and consistency of annotations within interdisciplinary and intradisciplinary datasets. Your responsibilities will include overseeing quality checks, performing intra- and inter-annotator quality control measures, and conducting regular audits to uphold standardized annotation practices. Collaborating closely with the Annotation Team, you will support ongoing quality assurance of annotation infrastructure and contribute to creating a Gold Standard database for quality benchmarking. Additionally, you will be responsible for conducting randomized checks to assess annotation performance, coordinating with the Annotation Program Liaison to review project objectives and quality standards, and defining appropriate sample sizes and quality control datasets in collaboration with scientists and engineers. Leading training sessions or competency evaluations to ensure adherence to annotation standards will also be part of your role. To be successful in this position, you must hold a Bachelors or Masters degree in Radiology, Medical Imaging, Pharmacy, Biomedical Engineering, or a related field, with a statistical background being a plus. Expertise in medical imaging modalities such as CT, MRI, X-ray, and ultrasound, as well as proficiency with medical annotation tools like ITK-SNAP, 3D Slicer, Labelbox, and V7 Labs, is essential. A strong understanding of clinical anatomy, pathology, and medical terminology, along with proven experience in medical image annotation and quality assurance, is required. Familiarity with DICOM, PACS, and other medical imaging systems is also important. Effective communication and collaboration skills are necessary for successful cross-functional teamwork, along with strong analytical skills and meticulous attention to detail. Knowledge of regulatory requirements, including HIPAA and GDPR compliance for handling medical data, is crucial in this role. You will report to the AI / Data Science Manager and collaborate closely with annotation specialists, scientists, and engineers across interdisciplinary teams. Experience with AI-driven medical image analysis models, deep learning techniques, automated annotation tools, or semi-automated pipelines would be considered a plus. Familiarity with clinical domains like oncology, cardiology, or pathology is also beneficial for this position.,

As a Senior Security Risk Analyst at Snowflake, you will be an integral part of the Global Security Compliance & Risk team. Your primary responsibility will be managing and enhancing the existing program that evaluates the risk associated with third-party tools and services used by Snowflake. This includes overseeing the intake process, collaborating with stakeholders to gather necessary information, analyzing the use case for each tool/service, and reviewing documentation to ensure compliance with security controls. Your role will be crucial in identifying and mitigating third-party security risks to safeguard Snowflake's assets. In this role, you will independently conduct ongoing security risk assessments for third-party vendors, providing in-depth evaluations and actionable recommendations aligned with security and compliance best practices. You will also be involved in monitoring and supporting remediation efforts for identified security gaps, ensuring closure through thorough audits. Additionally, you will assess security findings from various monitoring systems, compare vendor security controls with Snowflake data protection requirements, and enhance security documentation. Ideal candidates for this position will have at least 6 years of experience in security compliance roles, including a minimum of 3 years focusing on third-party security risks. You should possess a strong understanding of security best practices across various domains such as application security, risk management, encryption, identity and access management, and network security. Proficiency in industry regulations and standards like PCI-DSS, HIPAA, GDPR, as well as experience with frameworks like SOC1, SOC2, and ISO, will be advantageous. Moreover, you should demonstrate exceptional communication skills, both written and verbal, and the ability to work effectively across different time zones. Your role will involve collaborating with cross-functional teams to achieve security objectives, negotiating security agreements, and measuring program effectiveness against SLAs. Strong organizational skills, technical competence, and the ability to lead meetings with stakeholders from diverse backgrounds are essential for success in this role. Bonus points will be awarded for experience with tools like JIRA, Confluence, and ServiceNow, as well as security certifications such as CISSP, CCSP, or CISA. Previous exposure to major cloud providers like AWS, Azure, or Google Cloud will also be advantageous. If you are a motivated individual who thrives in a fast-paced environment, possesses a strong ethical foundation, and is committed to enhancing security practices, Snowflake offers an exciting opportunity to contribute to our growth and innovation. Join us in building a secure future for Snowflake while challenging conventional thinking and driving impactful change.,

You are currently looking to hire a Manager Quality specializing in Medical Coding with 10-12 years of experience for a full-time position based in Hyderabad. As the Manager Quality - Medical Coding, your key responsibilities will include having experience in Inpatient Medical Coding and collaborating with the Coding Education and Quality Coordinator to ensure proper on-the-job training for all staff under your supervision. You will be responsible for monitoring the competency and progress of new employees, providing timely and constructive feedback, and ensuring that work performance meets the required standards. Additionally, you will monitor productivity levels, assist in resolving day-to-day issues that may affect staff, and conduct regular update meetings to keep the team informed about departmental, hospital, market, and company changes or events. The ideal candidate should have a good understanding of HIPAA and healthcare compliance standards. Proficiency in using billing software such as Epic, Athena, Kareo, and QA tools is also required for this role. If you possess the necessary qualifications and experience, we encourage you to apply for this position by sending your resume to suganya.mohan@yitrobc.net for further details. Join our team to contribute to the field of Medical Coding and make a difference in the healthcare industry. Apply now and be a part of our dynamic and growing organization focused on maintaining coding audit and compliance standards in the US healthcare sector.,

We are seeking dynamic candidates to join our organization for the position of Billing Executive (Voice Dental RCM) in the night shift. Your responsibilities will include communicating with Dental Insurance to gather details about the patient's dental policy benefits and the status of any outstanding dental claims. A comprehensive understanding of Dental Billing operations is essential for this role. Your duties will involve interacting with patients" Dental Insurance, inquiring about benefit information and outstanding claims, and interpreting additional guidelines that may impact coverage. You will be required to collect benefit information using the specified template. To be eligible for this position, you should have at least an Undergraduate or Graduate degree. Prior experience in Dental Billing is preferred, and familiarity with CDT, ADA, and HIPAA regulations would be advantageous. Strong organizational skills, attention to detail, excellent written and verbal communication in English, interpersonal skills, and a commitment to exceptional client service are essential. You must also be able to handle sensitive patient information with confidentiality and work in US Night Shift timings. A typing speed of 40 WPM or more with a minimum accuracy of 95%, proficiency in MS Office applications, and experience in similar roles are required. The benefits of this position include a fixed salary, paid leave, no overtime work, incentive-based target system, US Federal Holidays, fixed weekends off on Saturdays and Sundays, health insurance, night shift meals, tea/coffee, and no salary cap for the right candidate. This is a full-time, permanent position with a flexible schedule, provided food, health insurance, life insurance, fixed shift from Monday to Friday, night shift, and US shift with a performance bonus. Preferred educational qualification is a Bachelor's degree, fluency in English communication is required, availability for night shifts is necessary. If you meet the requirements and are looking for a challenging opportunity in Dental Billing, we encourage you to apply.,

The Healthcare Analytics Specialist position based in Gurugram requires 3 to 5 years of experience. You will be responsible for developing, maintaining, and optimizing data pipelines, including ingestion, transformation, and loading of internal and external sources. Collaboration with Operations is essential to design scalable, secure, and high-performing data workflows. Best practices in data governance, version control, security, and documentation must be implemented. Analytical models for cost, quality, and utilization metrics will be built and maintained using tools like Python, R, or SQL-based BI tools. Reports will be developed to communicate findings to stakeholders across the organization. Ingesting and preprocessing third-party data from various sources, ensuring compliance with transparency requirements and designing automated workflows for data validation are key responsibilities. Data quality assurance through validation checks, audits, and anomaly detection frameworks is crucial. Compliance with healthcare regulations such as HIPAA, HITECH, and data privacy requirements must be maintained. Participation in internal and external audits of data processes is expected. Continuous improvement and thought leadership are encouraged to enhance data processes, adopt new technologies, and promote a data-driven culture within the organization. Mentoring junior analysts and sharing best practices in data analytics, reporting, and pipeline development are part of the role. Required qualifications include a Bachelor's degree in health informatics, Data Science, Computer Science, Statistics, or a related field. Proficiency in data integration & ETL, databases & cloud, BI & visualization, and healthcare domain expertise is necessary. Analytical & problem-solving skills, soft skills, and strong project management abilities are also required. Preferred qualifications include advanced degrees, experience with healthcare cost transparency regulations, familiarity with DataOps or DevOps practices, certification in BI or data engineering, and experience in data stewardship programs & leading data governance initiatives. Joining this position offers opportunities for innovation through advanced analytics projects, growth by leading initiatives and mentoring others, and working in a supportive culture that values open communication, knowledge sharing, and continuous learning.,

The ideal candidate for this position should be a Life Science Graduate with a strong attention to detail and proficiency in conducting audits of patient medical records. As a Medical Record Auditor, you will be responsible for ensuring coding accuracy and documentation compliance in both inpatient and outpatient settings. Your primary duties will include reviewing medical records, identifying errors in coding and billing, and preparing detailed audit reports with recommendations for corrective action. In addition, you will play a crucial role in ensuring compliance with healthcare regulations such as HIPAA, Medicare/Medicaid, and CMS guidelines. Collaboration with coding, billing, clinical, and compliance teams will be essential to address audit findings and monitor the implementation of corrective actions. You will also support training initiatives by identifying education opportunities for clinical and billing staff. This is a full-time position that offers Provident Fund benefits. The work location for this role is in person. If you are a dedicated professional with a keen eye for detail and a passion for maintaining the highest standards of coding and documentation in healthcare, we encourage you to apply for this exciting opportunity.,

Project description The project will focus on ensuring data privacy and compliance in the client environment by implementing and managing data masking solutions using the Delphix platform. This role involves collaboration with cross-functional teams to secure sensitive data while maintaining data integrity for development, testing, and analytics. Key Responsibilities: Design and Implementation: -Develop and implement robust data masking solutions using the Delphix platform. -Analyze data sets to identify sensitive information that requires masking. -Create and maintain masking rules, algorithms, and templates for various data environments. Data Security & Compliance: -Ensure sensitive data complies with regulatory requirements, such as GDPR, HIPAA, PCI-DSS, and CCPA. -Collaborate with security and compliance teams to establish masking policies and standards. Testing & Validation: -Conduct thorough testing to validate the effectiveness of masking solutions. -Troubleshoot and resolve issues related to data masking processes. Collaboration & Support: -Work closely with database administrators, developers, and QA teams to integrate masking into workflows. -Provide training and documentation on the Delphix platform and data masking techniques. Monitoring & Optimization: -Continuously monitor and optimize data masking performance. -Stay updated on the latest trends and updates in data masking technologies. Required Skills and Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field with 10+ years of IT industry experience. 8-10 years of experience in data masking, data privacy, or a related field. Expertise in the Delphix platform with 4+ years, including data virtualization and masking. Strong understanding of database management systems (e.g., Oracle, SQL Server, MySQL). Understanding of mainframe databases is an added advantage. Knowledge of data privacy regulations (GDPR, HIPAA, PCI-DSS, etc.). Proficiency in scripting languages such as Java, Python, Shell, or SQL. Excellent problem-solving and troubleshooting skills. Strong communication skills and ability to work in a collaborative team environment. Nice to have Mainframe exposure Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with other data masking tools and technologies. Certification in data privacy or data security (e.g., CIPP, CDPSE).

About Autonomize AI Autonomize AI is on a mission to help organizations make sense of the world's data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible. We are an ambitious team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global, remote company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI. The Opportunity We are looking for a Senior Cloud DevOps Engineer to design, build, and maintain our cloud infrastructure with a strong emphasis on security, automation, and observability. The ideal candidate will have extensive experience with Kubernetes, Helm, ArgoCD, and cloud security best practices. You should be comfortable working in one or more major cloud providers (AWS, Azure, or GCP) and have expertise in infrastructure security, IAM, and compliance. What you'll do: Design, deploy, and maintain secure and scalable Kubernetes clusters in production. Develop and manage Helm charts for deploying applications securely. Implement GitOps workflows using ArgoCD, ensuring secure and auditable deployments. Set up and manage observability stacks, including Prometheus, Grafana, and Loki, for monitoring, alerting, and logging. Implement security best practices, including network policies, RBAC, pod security standards, and secrets management in Kubernetes. Automate infrastructure provisioning and security compliance using Terraform, Ansible, or Pulumi. Secure cloud infrastructure and enforce security policies in AWS, Azure, or GCP, focusing on IAM, encryption, VPC security, and firewall rules. Implement CI/CD pipelines with security scanning (SAST, DAST, container image scanning, and dependency management). Enhance system reliability, security, and performance through continuous monitoring, auditing, and automated remediation. Collaborate with development and security teams to ensure security and compliance in all DevOps processes. Respond to security incidents, conduct forensic analysis, and apply remediation measures. You’re a Fit If You Have 4+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering roles. Strong expertise in Kubernetes security, including RBAC, network policies, pod security, and secrets management. Hands-on experience with Helm for secure and automated Kubernetes deployments. Proficiency in ArgoCD and GitOps methodologies for managing infrastructure as code securely. Experience with observability tools such as Prometheus, Grafana, and Loki. Expertise in one or more cloud providers (AWS, Azure, or GCP), including IAM, VPC security, and compliance. Strong knowledge of Terraform, Ansible, or Pulumi for infrastructure security automation. Experience securing CI/CD pipelines using SAST, DAST, container security scanning (Trivy, Aqua, or Snyk). Proficiency in scripting languages like Bash, Python, or Go for security automation. Strong understanding of network security, firewall management, TLS, and certificate management. Experience with logging, security monitoring, SIEM solutions, and automated alerting. Bonus Points Experience with Service Mesh security (Istio, Linkerd, or Consul). Hands-on experience with Zero Trust Security models and policy-as-code frameworks (OPA/Gatekeeper). Knowledge of container runtime security using tools like Falco or Sysdig. Familiarity with SOC 2, HIPAA or other compliance frameworks. Experience with incident response, forensic analysis , and security auditing Why Join Us? Work at the intersection of AI and healthcare, shaping solutions that improve patient care and streamline operations. Collaborate with a highly skilled team of engineers, data scientists, and healthcare experts. Opportunity for career growth as we rapidly scale and expand our impact. A dynamic and innovative work environment where your contributions drive meaningful change. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

Job Title: Information Security Engineer Job Type: Full-Time Position Overview: We are seeking a highly skilled Information Security Engineer to manage Risk Assessment,Compliance, and Clouds Infrastructure Security, with specialized expertise in healthcaresecurity, cybersecurity analytics, and emergency preparedness. The ideal candidate will haveexperience designing secure applications and architectures, conducting SAST/DAST testing,managing cyber emergency preparedness, and ensuring robust security protocols across theenterprise. You will also be responsible for developing security policies and procedures andintegrating cutting- edge security practices to maintain the organization's security posture andcompliance standards. Key Responsibilities: Risk Assessment: Perform internal and third-party risk assessments, conductsecurity audits, and manage vulnerability remediation. Develop mitigation strategiesand report risks to senior management. Clouds Infrastructure Security: Secure cloud environments (AWS, Azure, GCP) and on prem infrastructure, ensuring access controls, encryption, and network securityprotocols are in place. Compliance Management: Oversee compliance with HIPAA, GDPR, DPDPA, and healthcare-specific regulations. Support audit preparation, conduct assessments, andensure alignment with industry and privacy standards. Cybersecurity Analytics: Leverage cybersecurity analytics to monitor, identify, andrespond to threats in real-time, utilizing data-driven insights to enhance overall securityposture. Designing Secure Applications Architectures: Collaborate with development teams todesign and implement secure applications and system architectures, ensuring thatsecurity best practices are incorporated into the software development lifecycle. SAST /DAST: Implement Static and Dynamic Application Security Testing (SAST/DAST) to identify vulnerabilities and ensure secure coding practices throughout the development pipeline. Cyber Emergency Preparedness: Develop and maintain cyber emergency preparednessplans, including incident response, disaster recovery, and business continuity strategies. Electronic Surveillances Corporate Security: Oversee and manage electronic surveillance systems to detect and prevent both physical and cybersecurity threats.Ensure seamless integration between corporate security measures and IT/cybersecurity strategies. Security Policies Procedures: Develop, document, and maintain comprehensive securitypolicies and procedures to ensure regulatory compliance and alignment with riskmanagement frameworks. Incident Response: Lead investigations into security incidents, conduct root cause analysis,and recommend corrective actions to prevent future breaches. Collaboration Training: Partner with IT, development teams, and external vendors tointegrate security best practices into cloud and infrastructure environments. Providetraining and awareness programs to staff on security policies and procedures. Qualifications: 2-5 years of experience in information security, risk management, compliance, and healthcare security. Expertise in cybersecurity analytics, secure application design, andarchitectural security best practices. Strong knowledge of HIPAA, GDPR, DPDPA, and other healthcare-related compliance regulations. Hands-on experience with cloud security (AWS, Azure, GCP) and infrastructure security. Proficiency in SAST/DAST tools and vulnerability management. Experience with cyber emergency preparedness, incident response, anddisaster recovery planning. Knowledge of electronic surveillance systems and corporate security measuresto protect both physical and digital assets. Ability to document and maintain security policies, procedures, and standards. Strong analytical, communication, and problem-solving skills. Certifications (Preferred): CISSP, CISM, CRISC, CEH, AWS Certified Security Specialty, Azure Security Engineer, Certified HIPAA Professional (CHP), Certified Information Privacy Professional(CIPP/US), Certified Business Continuity Professional (CBCP)

Temenos powers a world of banking that creates opportunities for billions of people and businesses everywhere. We have been doing this for over 30 years through the pioneering spirit of our Temenosians who are passionate about making banking better, together. We serve over 3000 clients from the largest to challengers and community banks in 150+ countries. We collaborate with clients to build new banking services and state-of-the-art customer experiences on our open banking platform, helping them operate more sustainably. At Temenos, we have an open-minded and inclusive culture, where everyone has the power to create their own destiny and make a positive contribution to the world of banking and society. THE ROLE As a Network Engineer, youll play a crucial role in designing, implementing, and maintaining robust network infrastructures. Youll configure and install various network components like servers, routers, and firewalls while ensuring their optimal performance through regular monitoring and upgrades. Providing Tier 3 support ensures seamless operations for internal teams and the NOC. Automation of tasks enhances efficiency, complemented by stringent security measures and disaster recovery plans that youll create and oversee. Your role includes proactive network performance testing, suggesting enhancements for scalability, and delivering comprehensive network status reports to the Global NetOps Manager. Design and build functional networks (LAN, WLAN, WAN) Configure and install software, servers, routers, firewalls and other network devices Perform patching and SW/FW upgrades as needed Monitor network performance and integrity Provides Tier 3 support to the NOC and internal teams Automate tasks and monitor their effectiveness Create, oversee, and test security measures (e.g. access authentication and disaster recovery) Communicate with users when needed Maintain complete technical documentation Create and implement network security measures. Suggest improvements to network performance, capacity, and scalability Conducting regular network performance tests. Dealing with escalated network support issues. Drawing up network status reports. Reporting to the Global NetOps Manager SKILLS Bachelor s degree in Computer Science, Information Systems, or a related field. 5+ years in network engineering preferably in a corporate organization. Strong English written and verbal communication Skills Expert-level understanding of network concepts and protocols(e.g. TCP, UDP, ICMP, SNMP, OSPF, BGP), including SD-WAN technologies Assist in designing and implementing network security measures ( 802.1x, ACLs, segmentation, firewall rules). Work closely with Security teams to meet compliance standards (like PCI, HIPAA, or ISO 27001). Advanced knowledge of network operating systems including Huawei, JUNOS, Dell, Cisco, and IOS. Experience with routing and switching technologies from Huawei, Juniper, Fortigate, Cisco, and Dell. Good understanding of wireless technologies based on controller-managed access points (Ruckus) Experience with Cloud Environments (AWS and AZURE) Knowledge of SSL VPN solutions Network Monitoring tools such as ManageEngine OpManager or similar and Wireshark Create and maintain updated network diagrams, IP address inventories, and standard operating procedures. High-level problem-solving skills Strong understanding and enthusiasm for emerging technologies. Ability to work independently and as part of a team Ability to embrace change and continuous learning Ability to work flexible schedules Ability to solve complex problems independently Big Plus: Knowledge of coding languages for scripting (e.g Python, Perl) Care about delivering secure, reliable, and high-performing network solutions that support business operations. Commit to maintaining and improving network integrity through proactive management and continuous learning. Collaborate with internal teams, the NOC, and leadership to ensure seamless communication and support across the organization. Challenge existing processes and technologies to drive innovation, improve network performance, and enhance overall security. SOME OF OUR BENEFITS include: Maternity leave: Transition back with 3 days per week in the first month and 4 days per week in the second month Civil Partnership: 1 week of paid leave if youre getting married. This covers marriages and civil partnerships, including same sex/civil partnership Family care: 4 weeks of paid family care leave Recharge days: 4 days per year to use when you need to physically or mentally needed to recharge Study leave: 2 weeks of paid leave each year for study or personal development