19 Healthcare Data Jobs

Overview We are seeking an experienced Data Modeller with expertise in designing and implementing data models for modern data platforms. This role requires deep knowledge of data modeling techniques, healthcare data structures, and experience with Databricks Lakehouse architecture. The ideal candidate will have a proven track record of translating complex business requirements into efficient, scalable data models that support analytics and reporting needs. About the Role As a Data Modeller, you will be responsible for designing and implementing data models for our Databricks-based Modern Data Platform. You will work closely with business stakeholders, data architects, and data engineers to create logical and physical data models that support the migration from legacy systems to the Databricks Lakehouse architecture, ensuring data integrity, performance, and compliance with healthcare industry standards. Key Responsibilities Design and implement logical and physical data models for Databricks Lakehouse implementations Translate business requirements into efficient, scalable data models Create and maintain data dictionaries, entity relationship diagrams, and model documentation Develop dimensional models, data vault models, and other modeling approaches as appropriate Support the migration of data models from legacy systems to Databricks platform Collaborate with data architects to ensure alignment with overall data architecture Work with data engineers to implement and optimize data models Ensure data models comply with healthcare industry regulations and standards Implement data modeling best practices and standards Provide guidance on data modeling approaches and techniques Participate in data governance initiatives and data quality assessments Stay current with evolving data modeling techniques and industry trends Qualifications Extensive experience in data modeling for analytics and reporting systems Strong knowledge of dimensional modeling, data vault, and other modeling methodologies Experience with Databricks platform and Delta Lake architecture Expertise in healthcare data modeling and industry standards Experience migrating data models from legacy systems to modern platforms Strong SQL skills and experience with data definition languages Understanding of data governance principles and practices Experience with data modeling tools and technologies Knowledge of performance optimization techniques for data models Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred Professional certifications in data modeling or related areas Technical Skills Data modeling methodologies (dimensional, data vault, etc.) Databricks platform and Delta Lake SQL and data definition languages Data modeling tools (erwin, ER/Studio, etc.) Data warehousing concepts and principles ETL/ELT processes and data integration Performance tuning for data models Metadata management and data cataloging Cloud platforms (AWS, Azure, GCP) Big data technologies and distributed computing Healthcare Industry Knowledge Healthcare data structures and relationships Healthcare terminology and coding systems (ICD, CPT, SNOMED, etc.) Healthcare data standards (HL7, FHIR, etc.) Healthcare analytics use cases and requirements Optionally Healthcare regulatory requirements (HIPAA, HITECH, etc.) Clinical and operational data modeling challenges Population health and value-based care data needs Personal Attributes Strong analytical and problem-solving skills Excellent attention to detail and data quality focus Ability to translate complex business requirements into technical solutions Effective communication skills with both technical and non-technical stakeholders Collaborative approach to working with cross-functional teams Self-motivated with ability to work independently Continuous learner who stays current with industry trends What We Offer Opportunity to design data models for cutting-edge healthcare analytics Collaborative and innovative work environment Competitive compensation package Professional development opportunities Work with leading technologies in the data space This position requires a unique combination of data modeling expertise, technical knowledge, and healthcare industry understanding. The ideal candidate will have demonstrated success in designing efficient, scalable data models and a passion for creating data structures that enable powerful analytics and insights.

Role Overview We are seeking a highly skilled and experienced Data Manager to lead the development, governance, and utilization of enterprise data systems. This is a strategic leadership role focused on ensuring seamless and secure flow of data across our platforms and teams, enabling timely and accurate access to actionable insights. The ideal candidate brings a strong foundation in data architecture, governance, and cloud-native systems, combined with hands-on experience managing cross-functional teams and implementing scalable, secure, and cost-efficient data solutions. Your Objectives Optimize data systems and infrastructure to support business intelligence and analytics. Implement best-in-class data governance, quality, and security frameworks. Lead a team of data and software engineers to develop, scale, and maintain cloud-native platforms. Support data-driven decision-making across the enterprise Key Responsibilities Develop and enforce policies for effective and ethical data management. Design and implement secure, efficient processes for data collection, storage, analysis, and sharing. Monitor and enhance data quality, consistency, and lineage. Oversee integration of data from multiple systems and business units. Partner with internal stakeholders to support data needs, dashboards, and ad hoc reporting. Maintain compliance with regulatory frameworks such as GDPR and HIPAA. Troubleshoot data-related issues and implement sustainable resolutions. Ensure digital data systems are secure from breaches and data loss. Evaluate and recommend new data tools, architectures, and technologies. Support documentation using Atlassian tools and develop architectural diagrams. Automate cloud operations using infrastructure as code (e.g., Terraform) and DevOps practices. Facilitate inter-team communication to improve data infrastructure and eliminate silos. Leadership & Strategic Duties Manage, mentor, and grow a high-performing data engineering team. Lead cross-functional collaboration with backend engineers, architects, and product teams. Facilitate partnerships with cloud providers (e.g., AWS) to leverage cutting-edge technologies. Conduct architecture reviews, PR reviews, and drive engineering best practices. Collaborate with business, product, legal, and compliance teams to align data operations with enterprise goals. Required Qualifications Bachelors or Masters degree in Computer Science, Engineering, or related field. 1015 years of experience in enterprise data architecture, governance, or data platform development. Expertise in SQL, data modelling, and modern data tools (e.g., Snowflake, dbt, Fivetran). Deep understanding of AWS cloud services (Lambda, ECS, RDS, DynamoDB, S3, SQS). Proficient in scripting (Python, Bash) and CI/CD pipelines. Demonstrated experience with ETL/ELT orchestration (e.g., Airflow, Prefect). Strong understanding of DevOps, Terraform, containerization, and serverless computing. Solid grasp of data security, compliance, and regulatory requirements Preferred Experience (Healthcare Focused) Experience working in healthcare analytics or data environments. Familiarity with EHR/EMR systems such as Epic, Cerner, Meditech, or Allscripts. Deep understanding of healthcare data privacy, patient information handling, and clinical workflows Soft Skills & Team Fit Strong leadership and mentoring mindset. Ability to manage ambiguity and work effectively in dynamic environments. Excellent verbal and written communication skills with technical and non-technical teams. Passionate about people development, knowledge sharing, and continuous learning. Resilient, empathetic, and strategically focused.

Overview We are seeking an experienced Data Architect with extensive expertise in designing and implementing modern data architectures. This role requires strong software engineering principles, hands-on coding abilities, and experience building data engineering frameworks. The ideal candidate will have a proven track record of implementing Databricks-based solutions in the healthcare industry, with expertise in data catalog implementation and governance frameworks. About the Role As a Data Architect, you will be responsible for designing and implementing scalable, secure, and efficient data architectures on the Databricks platform. You will lead the technical design of data migration initiatives from legacy systems to modern Lakehouse architecture, ensuring alignment with business requirements, industry best practices, and regulatory compliance. Key Responsibilities Design and implement modern data architectures using Databricks Lakehouse platform Lead the technical design of Data Warehouse/Data Lake migration initiatives from legacy systems Develop data engineering frameworks and reusable components to accelerate delivery Establish CI/CD pipelines and infrastructure-as-code practices for data solutions Implement data catalog solutions and governance frameworks Create technical specifications and architecture documentation Provide technical leadership to data engineering teams Collaborate with cross-functional teams to ensure alignment of data solutions Evaluate and recommend technologies, tools, and approaches for data initiatives Ensure data architectures meet security, compliance, and performance requirements Mentor junior team members on data architecture best practices Stay current with emerging technologies and industry trends Qualifications Extensive experience in data architecture design and implementation Strong software engineering background with expertise in Python or Scala Proven experience building data engineering frameworks and reusable components Experience implementing CI/CD pipelines for data solutions Expertise in infrastructure-as-code and automation Experience implementing data catalog solutions and governance frameworks Deep understanding of Databricks platform and Lakehouse architecture Experience migrating workloads from legacy systems to modern data platforms Strong knowledge of healthcare data requirements and regulations Experience with cloud platforms (AWS, Azure, GCP) and their data services Bachelor's degree in computer science, Information Systems, or related field; advanced degree preferred Technical Skills Programming languages: Python and/or Scala (required) Data processing frameworks: Apache Spark, Delta Lake CI/CD tools: Jenkins, GitHub Actions, Azure DevOps Infrastructure-as-code (optional): Terraform, CloudFormation, Pulumi Data catalog tools: Databricks Unity Catalog, Collibra, Alation Data governance frameworks and methodologies Data modeling and design patterns API design and development Cloud platforms: AWS, Azure, GCP Container technologies: Docker, Kubernetes Version control systems: Git SQL and NoSQL databases Data quality and testing frameworks Optional - Healthcare Industry Knowledge Healthcare data standards (HL7, FHIR, etc.) Clinical and operational data models Healthcare interoperability requirements Healthcare analytics use cases

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact to ZS. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems - the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. The ZS Data Office and Strategy team has two pillars. First, The ZS Data Office is dedicated to shepherding ZS Data Strategy. We work collaboratively with Clients and the Client Service Teams, Practice Areas, Expertise Centers, and Enterprise stakeholders to help drive growth and value through the compliant use of data. We build relationships and partnerships with a wide range of data providers to enable ZS access and use of the data in innovative offerings and services. Second, we advise clients on all matters related to Data Strategy. With the explosion of healthcare data and new applications, Data Strategy has emerged as a key strategic initiative for many Life Science companies. The team advises clients on data operating models, data governance, data sourcing and generation, data management, value creation, and data compliance. The Data Office Director, based in Noida (India), will oversee a local team of 10-15 people providing data advisory services to our Client Service Teams and Practice Areas. Using an in-depth understanding of the healthcare data landscape, existing data partnerships, and internal processes, he/she will lead the team in advising ZS stakeholders on the potential data options to support ZS clients and internal projects while ensuring the compliant use of data. He/she will also help deliver world-class solutions that address the development of data strategies to optimize data governance and operation, data sourcing strategy, process design, value creation and portfolio analytics, and more. This individual will have high visibility within the firm and work collaboratively with the rest of the Data Strategy team located in North and South America, Europe, as well as various practice areas. Maintain an in-depth understanding and expertise in the global healthcare data landscape, including key data assets available at ZS and through our partnerships with data vendors. Collaborate closely with ZS practices and client service team leaders to identify data needs, advise on viable data partners, determine engagement models with data partners, and related activities that contribute to the development of new ZS offerings, assets, and solutions that leverage data. Work collaboratively with the team to maintain positive relationships with data partners. Serve as a Subject Matter Expert to support teams in practice area innovation, client project proposals, client discussions, thought leadership, etc., where data expertise is needed. Partner with ZS leaders and client teams to sell and deliver Data Strategy projects for Life Science clients, including project scoping, approach definition, project management and execution, communication, people management. Define and build long-term Data Strategy assets and offerings (new capabilities, frameworks, processes, and tools); and author thought leadership content. Expand awareness, knowledge, and usage of data partnerships within the firm; communicate use cases, facilitate training, create thought leadership documents, etc. Manage and collaborate with an extended team of diverse skill sets (knowledge management, technologists, business operations, etc.). Lead, hire, and develop local team members, setting and meeting high expectations, ensuring constant skill development. Partner with the Senior Leadership team and oversee local project management i.e., Project planning, staffing management, people growth, etc. Mentor/coach junior members in the team. Adhere and supervise team members" adherence to compliance standards in all activities. Bachelor's or master's with a quantitative focus such as Life Science, Physics, Business, Analytics with strong academic performance. 10+ years of relevant job experience; prior experience in Data Strategy and Life Sciences, working with consultancy firms, life science companies, or healthcare data providers preferred. Knowledge of healthcare data and experience of its practical applications (e.g., patient-level EHR, claims, omics, data and experience with RWD/RWE projects or omics data) preferred. Empathy, adaptability, and high personal impact, with the ability to develop and maintain senior relationships; Executive level oral and written communication skills. Demonstrated ability to lead a team with consistently high standards, grow people, and collaborate successfully across geographies. Ability to translate unstructured problems into actionable processes and approaches, and ensure execution by others. Self-starter, with high motivation, maturity and personal initiative. Discipline for planning and organizing tasks for self and the team; managing competing priorities, in a fast-paced context. ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel is a requirement at ZS for client-facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a cover letter, is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com,

Job Title : Mid-Level Data Engineer Healthcare Domain Location: Remote Option Experience: 2 to 3 Years Employment Type: Full-Time About the Role We are seeking a motivated and detail-oriented Mid-Level Data Engineer with 2 to 3 years of experience in designing, developing, and optimizing data pipelines within the healthcare domain. The ideal candidate will have hands-on experience with Databricks , strong SQL skills, and a solid understanding of healthcare data standards (e.g., HL7, EDI X12 837/835, HCC, CPT/ICD codes). Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Databricks , PySpark , and Delta Lake for large-scale healthcare datasets. Collaborate with data scientists, analysts, and product managers to understand data requirements and deliver clean, reliable data. Ingest, process, and transform healthcare-related data such as claims (837/835) , EHR/EMR , provider/member , and clinical datasets . Implement data quality checks, validations, and transformations to ensure high data integrity and compliance with healthcare regulations. Optimize data pipeline performance, reliability, and cost in cloud environments (preferably Azure or AWS). Maintain documentation of data sources, data models, and transformations. Support analytics and reporting teams with curated datasets and data marts. Adhere to HIPAA and organizational standards for handling PHI and sensitive data. Assist in troubleshooting data issues and root cause analysis across systems. Required Qualifications 2–3 years of experience in a data engineering role, preferably in the healthcare or healthtech sector. Hands-on experience with Databricks , Apache Spark (PySpark) , and SQL . Familiarity with Delta Lake , data lakes , and modern data architectures . Solid understanding of healthcare data standards : EDI 837/835, CPT, ICD-10, DRG, or HCC. Experience with version control (e.g., Git ), CI/CD workflows, and task orchestration tools (e.g., Airflow , Azure Data Factory , dbt ). Ability to work with both structured and semi-structured data (JSON, Parquet, Avro, etc.). Strong communication skills and ability to collaborate in cross-functional teams. Education Bachelor’s degree in Business Administration, Healthcare Informatics, Information Systems, or a related field.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact to ZS. Our most valuable asset is our people. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systemsthe ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. What you'll do: - Develop an in-depth understanding and expertise in the global healthcare data landscape, including key data assets available at ZS and through our partnerships with data vendors. - Collaborate with ZS stakeholders, including client service teams and practice areas, to identify and translate their business needs into data requirements. - Engage with data providers/sources to effectively address the evolving needs of the business teams. - Assist in the exploration and development of innovative data options in collaboration with team members and data partners. - Present and explain data alternatives to ZS stakeholders, facilitate the selection and implementation of optimal data solutions, and guide them through ZS compliant data access processes. - Manage and document requests and activities thoroughly. Execute reporting tasks to ensure accurate and timely delivery of information. - Collaborate with an extended global team of diverse skill sets (knowledge management, data technologists, business operations, etc.). - Support research initiatives, internal projects, and marketing endeavors while ensuring seamless communication. - Oversee day-to-day team activities & reporting tasks to ensure accurate and timely delivery of information. - Mentor/coach junior members in the team. - Support efforts towards driving utilization for data assets available at ZS. - Adhere and supervise team members" adherence to compliance standards in all activities. What you'll bring: - Minimum of a Bachelor's degree (with a quantitative focus such as Biology, Physics, Business, Analytics) with strong academic performance. - 3-4 years of relevant job experience; prior experience in Data Strategy/management and Life Science, working with consultancy firms, life science companies, or healthcare data providers preferred. - Knowledge of healthcare data and experience of its practical applications (e.g., patient-level EMR, claims, omics, data and experience with RWD/RWE projects or omics data) preferred. - Ability to translate unstructured problems into actionable requirements and approaches. - Self-starter, with high motivation, maturity, and personal initiative. - Strong oral and written communication skills. - Empathy, adaptability, and customer service orientation. - Self-discipline for planning and organizing tasks, and delivering in an unstructured environment. - Ability to multi-task and manage competing priorities, in a fast-paced context. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client-facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com,

OneDose is revolutionizing medication management through the utilization of advanced AI and data-driven solutions. The primary objective is to enhance the intelligence, safety, and accessibility of every dose on a large scale. Patients often face challenges such as cost constraints, availability issues, or allergies, resulting in missed medications. Addressing this multifaceted clinical and supply chain dilemma necessitates seamless data integration, real-time intelligence, and precise recommendations. The responsibilities include integrating formulary data, supplier inventories, salt compositions, and clinical guidelines into a unified ontology. Moreover, developing a clinical decision support system that offers automated suggestions and deploying real-time recommendation pipelines using Foundry's Code Repositories and Contour (ML orchestration layer). The role of Palantir Foundry Developer is a full-time, on-site position based in Jaipur. The key responsibilities involve constructing and managing data integration pipelines, creating analytical models, and enhancing data workflows using Palantir Foundry. Daily tasks encompass collaborating with diverse teams, troubleshooting data-related issues, and ensuring data quality and adherence to industry standards. The ideal candidate should possess profound expertise in Palantir Foundry ranging from data integration to operational app deployment. Demonstrated experience in constructing data ontologies, data pipelines (PySpark, Python), and production-grade ML workflows is essential. A solid grasp of clinical or healthcare data (medication data, EHRs, or pharmacy systems) is highly advantageous. Additionally, the ability to design scalable, secure, and compliant data solutions for highly regulated environments is crucial. A strong passion for addressing impactful healthcare challenges through advanced technology is desired. A Bachelor's degree in Computer Science, Data Science, or a related field is required. Joining OneDose offers the opportunity to make a significant impact by enhancing medication accessibility and patient outcomes in India and globally. You will work with cutting-edge technologies like Palantir Foundry, advanced AI models, and scalable cloud-native architectures. The work environment promotes ownership, growth, innovation, and leadership, enabling you to contribute to shaping the future of healthcare.,

Educational Bachelor of Engineering,BCA,BTech,MTech,MCA,MBA Service Line Application Development and Maintenance Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional : Healthcare Data analyst ,PL/SQL, SQL, Data mapping, STTM creation, Data profiling, Reports Preferred Skills: Domain-Healthcare-Healthcare - ALL

Role Purpose Principal Consultants are expected to have a deep area of consulting expertise, with a good understanding of the clients business landscape and an ability to manage the delivery of consulting solutions that achieve clear business value. The role may have managerial responsibilities in leading a team of consultants and managing quality and internal compliance in business operations. Principal Consultants develop and support closure of sales opportunities through their consulting expertise and client relationships. The Principal Consultant must achieve high personal billability. : Data Analyst for EHR Healthcare Data Migration and Archive We are seeking a highly skilled and detail-oriented Data Analyst to join our Electronic Health Record (EHR) data migration and archive projects for a large, growing Behavioral Health organization. This role will focus on the migration and archiving of healthcare data for multiple EHR platforms; focus on athenaOne. The ideal candidate will have a strong background in data analysis, healthcare informatics, and experience with electronic health records (EHR) systems, particularly athenaOne. This position is crucial to ensuring accurate and efficient data migration and archiving processes, supporting the seamless transition to the athenaOne platform. Qualifications/Experience: Hands on experience with athenaOne platform required Bachelor's degree in Healthcare Informatics, Computer Science, or related field Proven experience with EHR systems, particularly in data migration projects from Behavioral Health systems to athenaOne Strong understanding of healthcare data standards, terminologies, and regulatory requirements Proficiency in data mapping, extraction, transformation, and cleansing techniques Experience with EHR software tools and interfaces, as well as testing and validation methodologies.

8 to 11 years of experience in a software engineering role, with a focus on backend or full-stack development Proven track record of AI/LLM application development or integration Strong experience in Python-based AI application development with API engineering Proficiency in RESTful APIs, microservices, and cloud-based AI deployments (AWS, Kubernetes, Lambda) Familiarity with AI orchestration tools for AI workflow automation Knowledge of SQL and NoSQL databases (PostgreSQL) for AI-powered search Experience working in Agile teams and delivering AI-driven features in a cloud-first environment Bachelors Degree in Computer Science or related field Understanding of healthcare data privacy regulations (HIPAA, GDPR) is a plus BEHAVIORS ABILITIES REQUIRED Ability to learn and adapt rapidly while producing high-quality code Capable of translating AI/LLM concepts into practical, scalable software solutions Innovative thinker who finds creative ways to execute when historical context is limited Strong analytical skills to assess potential designs and choose the best solution for the business Committed to delivering results under challenging circumstances Skilled at mentoring and coaching to elevate junior team members Able to uphold best engineering practices for quality, security, and performance RESPONSIBILITIES MAY INCLUDE, BUT ARE NOT LIMITED TO Technical Execution AI-Powered Software Development API Integration Design, develop, and deploy AI-powered applications that enhance RCM automation Develop AI-driven microservices and ensure cloud-native deployment. AI Optimization Performance Tuning Optimize AI model performance via API configurations rather than custom fine-tuning Leverage AI orchestration tools (LangChain) to automate complex AI workflows Microservices APIs Build and maintain RESTful APIs for AI features; integrate with internal and external systems Accurately estimate development tasks and own them through completion Deliver high-quality software components Ensure solutions meet reliability, performance, and compliance standards (especially for healthcare data) Evaluate and propose new technologies Identify scalable open-source frameworks or cloud-based AI services, ensuring robust and cost-effective implementations Code reviews quality assurance Participate in peer reviews, ensuring adherence to coding conventions and best practices Write, debug, and deploy code to production, promptly delivering fixes Contributions to the Team Subject matter expert Serve as a go-to resource for AI/LLM-related application architecture and best practices Stay current with industry trends (agentic AI, genAI) and share insights with the broader team Scrum team participation Collaborate in Agile ceremonies: daily stand-ups, sprint planning, retrospectives Commit to sprint goals and deliver incremental value to customers and internal stakeholders Team accountability Encourage a culture of ownership: if you build it, you support it post-release Help the team continuously improve velocity, code quality, and automation Cross-Functional Coordination Communication Partner with product and UX Translate requirements for AI-driven RCM features into technical designs, ensuring alignment with user needs Collaborate on user experience improvements requiring generative AI insights (e.g., claims code suggestions) Stakeholder engagement Work closely with compliance/security teams to maintain HIPAA/data governance standards Communicate technical roadmaps, dependencies, and timelines effectively to non-technical audiences Broad knowledge sharing Educate peers on AI/ML design patterns, cloud infrastructures, and best practices Build strong relationships with cross-functional teams, bridging technology and business domains

Educational Bachelor of Engineering,BTech,BCA,MBA,MTech,MCA Service Line Application Development and Maintenance Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional : Healthcare Data analyst ,PL/SQL, SQL, Data mapping, STTM creation, Data profiling, Reports Preferred Skills: Domain-Healthcare-Healthcare - ALL

Data Engineer Position Summary The Data Engineer is responsible for building and maintaining data pipelines ensuring the smooth operation of data systems and optimizing workflows to meet business requirements This role will support data integration and processing for various applications Minimum Qualifications 6 Years overall IT experience with minimum 4 years of work experience in below tech skills Tech Skills Proficient in Python scripting and PySpark for data processing tasks Strong SQL capabilities with hands on experience managing big data using ETL tools like Informatica Experience with the AWS cloud platform and its data services including S3 Redshift Lambda EMR Airflow Postgres SNS and EventBridge Skilled in BASH Shell scripting Understanding of data lakehouse architecture particularly with Iceberg format is a plus Preferred Experience with Kafka and Mulesoft API Understanding of healthcare data systems is a plus Experience in Agile methodologies Strong analytical and problem solving skills Effective communication and teamwork abilities Responsibilities Develop and maintain data pipelines and ETL processes to manage large scale datasets Collaborate to design test data architectures to align with business needs Implement and optimize data models for efficient querying and reporting Assist in the development and maintenance of data quality checks and monitoring processes Support the creation of data solutions that enable analytical capabilities Contribute to aligning data architecture with overall organizational solutions

Role: Data Engineer Exp: 5 to 8 Years Location: Bangalore, Noida, and Hyderabad (Hybrid, weekly 2 Days office must) NP: Immediate to 15 Days (Try to find only immediate joiners) Note: Candidate must have experience in Python, Kafka Streams, Pyspark, and Azure Databricks. Not looking for candidates who have only Exp in Pyspark and not in Python. Job Title: SSE Kafka, Python, and Azure Databricks (Healthcare Data Project) Experience: 5 to 8 years Role Overview: We are looking for a highly skilled with expertise in Kafka, Python, and Azure Databricks (preferred) to drive our healthcare data engineering projects. The ideal candidate will have deep experience in real-time data streaming, cloud-based data platforms, and large-scale data processing . This role requires strong technical leadership, problem-solving abilities, and the ability to collaborate with cross-functional teams. Key Responsibilities: Lead the design, development, and implementation of real-time data pipelines using Kafka, Python, and Azure Databricks . Architect scalable data streaming and processing solutions to support healthcare data workflows. Develop, optimize, and maintain ETL/ELT pipelines for structured and unstructured healthcare data. Ensure data integrity, security, and compliance with healthcare regulations (HIPAA, HITRUST, etc.). Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into technical solutions. Troubleshoot and optimize Kafka streaming applications, Python scripts, and Databricks workflows . Mentor junior engineers, conduct code reviews, and ensure best practices in data engineering . Stay updated with the latest cloud technologies, big data frameworks, and industry trends . Required Skills & Qualifications: 4+ years of experience in data engineering, with strong proficiency in Kafka and Python . Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing. Experience with Azure Databricks (or willingness to learn and adopt it quickly). Hands-on experience with cloud platforms (Azure preferred, AWS or GCP is a plus) . Proficiency in SQL, NoSQL databases, and data modeling for big data processing. Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data applications. Experience working with healthcare data (EHR, claims, HL7, FHIR, etc.) is a plus. Strong analytical skills, problem-solving mindset, and ability to lead complex data projects. Excellent communication and stakeholder management skills. Email: Sam@hiresquad.in

Acentra delivers a broad range of healthinformation technology enterprise solutions and customizable products to adiverse base of state and federal agencies. We align, build, and manageinnovative, high-quality, cost-effective solutions that help customers achievetheir mission, enhance business performance, reduce costs, and improve thehealth of over 50 million Americans. With locations throughout the U.S. and inIndia, Acentra employs a world-class team of technologists, healthcaresubject-matter experts, and program managers, all of whom have experience withlarge-scale mission-critical information technology implementations. Innovation and commitment to our missionare core to our DNA. And through our shared values, we foster an environment ofinclusion, empowerment, accountability, and fun! About the Job This position is for a Machine Learningexpert who is responsible for successful delivery of Acentra Health'stechnology initiatives. Candidates for this role will be working at theintersection of data science and software engineering, building, deploying, andoptimizing machine learning (ML) models and pipelines, with a strong emphasison large language models (LLMs), generative AI (GenAI), and natural languageprocessing (NLP). Will help improve patient outcomes and drive innovation andefficiency in healthcare. What you will do Design, develop, and implement ML models and algorithms to solvehealthcare-related problems, such as disease prediction, patient riskstratification, clinical decision support, and personalized medicine Exploreand implement state-of-the-art ML techniques, including supervised andunsupervised learning, deep learning, and NLP Develop and implement data cleaning, feature engineering, and dataaugmentation techniques to improve model performance and generalizability Evaluate and validate ML models using appropriate metrics andmethodologies, ensuring robustness, accuracy, and reliability Interpretand communicate model results to domain experts and stakeholders, providingactionable insights and recommendations Optimize models for performance, scalability, and real-timepredictions, considering computational constraints and regulatory requirements Design and develop innovative solutions using LLMs and foundationmodels to solve business problems and create operational efficiencies Lead the AI and ML development process and oversee CICD pipelines Document code, methodologies, and experimental results to ensurereproducibility and knowledge sharing Train junior level engineers and serve as a mentor for learningnew technologies, best practices, and company culture Collaborate with cross-functional teams, including datascientists, clinicians, researchers, and product managers, to translatebusiness requirements into technical solutions Stayabreast of the latest advancements in ML, AI, LLMs, healthcare informatics, andregulatory landscape to inform decision-making and drive innovation Who you are: Education : Bachelors degree in computer science, data science, or a relatedfield. 2+ Provenexperience and success as an ML Engineer. Technicalskills 2+ years of experience as a ML Engineer 2+ years of experience with object-oriented scripting languages, such as Python or R 2+ years of experience with developing ML models and NLP techniques 2+ years of experience with data preprocessing and feature engineering 2+ years of experience with LLMs and GenAI 1+ years of cloud computing experience using Azure and/or Amazon Web Services (AWS) for testing, deploying, and managing ML and AI systems Proven experience with successfully deploying solutions using LLMs and foundation models Proven experience with GenAI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs) and transformer-based models Provenexperience successfully developing and deploying ML algorithms, statisticalanalysis, and data mining techniques Proven experience mentoring ML Engineers and colleagues Demonstrable experience developing innovative ideas and solutions Goodto have familiarity with healthcare data standards (e.g., HL7, FHIR),electronic health records (EHR), medical imaging formats (DICOM), and relevanthealthcare regulations (e.g., HIPAA) is highly desirable

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Primary Responsibilities Subject matter expert (SME) in one or more Healthcare domains Analyzes and documents client's business requirements, processes and communicates these requirements by constructing conceptual data and process models, including data dictionaries and functional design documents Collaborates with data teams, departments, other IT groups, and technology vendors to define the data needs and facilitate analytic solutions Provides input into developing and modifying data warehouse and analytic systems to meet client needs and develops business specifications to support these modifications Ability to communicate complex technical and functional concepts verbally and in writing Ability to lead socialization and consensus building efforts for innovative data and analytic solutions Identifies opportunities for reuse of data across the enterprise; profiles and validates data sources Creates test scenarios and develops test plans to be used in testing the data products to verify that client requirements are incorporated into the system design. Assists in analyzing testing results throughout the project Participates in architecture and technical reviews to verify 'intent of change' is carried out through the entire project Performs root cause analysis and application resolution Assignment of work and development of less experienced team members Ensure proper documentation and on-time delivery of all functional artifacts and deliverables Document and communicate architectural vision, technical strategies, and trade-offs to gain broad buy-in Reduce inefficiencies through rationalization and standards adherence Responsible for identifying, updating, and curating the data standardization and data quality rules Responsible for leading and providing direction for data management, data profiling and source to target mapping Responsible for optimizing and troubleshooting and data engineering processes Work independently, but effectively partner with a broader team, to design and develop enterprise data solutions Ability to creatively take on new challenges and work outside comfort zone Comfortable in communicating alternative ideas with clinicians related to information options and solutions Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do Required Qualifications Bachelor’s Degree (preferably in information technology, engineering, math, computer science, analytics, engineering, or another related field) Revenue Cycle Management Domain Experience 7+ years in a healthcare data warehouse setting and experience in profiling and analyzing disparate healthcare datasets (Financial, Clinical Quality, Value Based Care, population health, Revenue cycle analytics, Health system operations, etc.) and ability to convert this data into insights 7+ years working with healthcare datasets and ability to convert the business requirements into functional designs that are scalable and maintainable 7 + years of experience with Oracle/SQL server databases including T-SQL, PL/SQL, Indexing, partitioning, performance tuning 7+ years of experience in creating Source to Target Mappings and ETL designs (using SSIS / Informatica / DataStage) for integration of new/modified data streams into the data warehouse/data marts 5+ years of experience in designing and implementing data models to support analytics with solid knowledge of dimensional modeling concepts Experience with Epic Clarity and/or Caboodle data models Healthcare Domain Knowledge At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The Enterprise Intelligence Suit (EIS) is seeking a Data Scientist 2 to support various Optum Insights data science projects. This position is responsible for end-to-end model development for our clients in provider and payer segments. We are investing significantly in new capabilities to design, develop and deliver better solutions for these clients. We are seeking people with proven experience conceptualizing, defining and delivering solutions that enable data science teams to build and scale Machine Learning and Artificial Intelligence models that will power these solutions. Primary Responsibilities Take lead on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Improve and extend the analytic methods in our products Conduct hands-on data analysis and predictive analytics on large datasets Effectively communicate complex technical results to business partners Support and drive analytic efforts around machine learning and innovation Work with a great deal of autonomy to find solutions to complex problems Review the work of others and serve as a leader/mentor Subject matter expert for our clients Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s degree in Biostatistics, Mathematics, Economics, Computer Science, Theoretical Physics, Quantitative Social Sciences, Statistics, Information Systems, or relevant experience 3+ years of hands-on experience developing machine learning/deep learning models (Can be business/corporate experience and/or academic), Gen AI solutions 3+ years of experience working with healthcare data Experience applying computational algorithms and statistical methods to structured and unstructured data Experience breaking down and clearly defining problems Experience communicating highly technical results to a diverse audience Solid proficiency in advanced data science tools such as Python, Spark, SQL Comfort working as part of a team and taking the lead, as opposed to solo projects Telecommute is available Preferred Qualifications Masters degree Biostatistics, Mathematics, Economics, Computer Science, Theoretical Physics, Quantitative Social Sciences, Statistics, Information Systems Experience leading data science projects Experience reviewing the work of others Experience with deploying ML models in Azure, AWS, and/or Google Cloud Experience with agile product development At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Role: Product Owner Product Owner Key Responsibilities: Define and communicate the product vision and strategy. Lead the product development lifecycle from ideation to launch, ensuring alignment with business goals and user needs. Collaborate with engineering teams to prioritize features and manage the product backlog effectively. Conduct research and competitive analysis to identify trends, opportunities, and potential areas for product enhancement. Engage with healthcare payers leaders, and regulatory bodies to gather insights and feedback on product performance and usability. Monitor and analyze product performance metrics to inform decision-making and drive continuous improvement. Foster a culture of innovation and collaboration within the product team and across the organization. Act as the primary point of contact for stakeholders, providing updates on product progress and soliciting feedback. Mentor and guide junior product managers and team members to develop their skills and capabilities. Required Qualifications: Education: Bachelor’s degree in Business Administration, Healthcare Management, Computer Science, or a related field. Master’s degree (MBA or similar) preferred but not required. Experience: Minimum of 9+ years of product management experience, with at least 3 years in a leadership role. Proven track record of successfully managing complex technology products, preferably in the healthcare or health technology sector. Strong understanding of HEDIS measures, healthcare quality metrics, and regulatory requirements. Experience working with cross-functional teams, including engineering, design, and data analytics. Familiarity with Agile methodologies and tools (e.g., Scrum, JIRA, Confluence). Excellent communication, presentation, and interpersonal skills, with the ability to engage and influence stakeholders at all levels. Analytical mindset with a strong ability to interpret data and drive data-informed decisions. Preferred Qualifications: Experience with healthcare data analytics, data integration, and reporting tools. Knowledge of electronic health records (EHR) systems and healthcare interoperability standards. Certification in product management (e.g., Certified Scrum Product Owner, Certified Product Manager) is a plus

RESPONSIBILITIES/TASKS: - Works through various project phases from ideation to defining scope & planning. - Collaborates with market-facing stakeholders and internal system users to understand and document software product user needs including “as is” and “to be” states. - Authors user stories with process flows, mockups, and acceptance criteria in requirements tracking system. - Translates complex requirements from user needs to the development team in an Agile Scrum environment. - Provides IT application support, research of software defects, trouble-shooting, and defining solutions for defects. - Performs verification and UAT testing, including creation of test plans, test scripts and coordination of UAT testing with business users. - Utilizes presentation and interpersonal skills to train end users and communicate program progress cross-functionally and to leadership teams. - Performs Release validation. This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. EMPLOYMENT QUALIFICATIONS: EDUCATION OR EQUIVALENT EXPERIENCE: Bachelor's degree in Computer Science, Information Systems, or a related field. Relevant combination of education and experience may be considered in lieu of degree. Continuous learning, as defined by the Company's learning philosophy, is required. Certification or progress toward certification is highly preferred and encouraged. EXPERIENCE: Five plus years experience gathering requirements to define complex data mappings and transformations. Healthcare data and Risk Adjustment experience a plus but not required. SKILLS/KNOWLEDGE/ABILITIES (SKA) REQUIRED: - Proven analytical and problem solving skills. - Proficient with SQL as a tool to solve problems, analyze data, create ad hoc reports and test. - Should have knowledge of healthcare domain - Should have knowledge in product development - Strong oral and written communication skills. - Ability to work in a team environment. - Proficient in prioritizing, multi-tasking and managing multiple projects. - Proven independent worker with strong organizational and time management skills. - Flexible and can adapt to change. Required Skills Jira,Mysql,figma

Job description We are seeking a Data Architect - RWD and Analytics Products to lead the design and implementation of scalable real-world data (RWD) solutions architecture. This role sits within the Product team but maintains strong collaboration with Engineering to ensure technical feasibility and execution. The ideal candidate has expertise in healthcare data, claims, EHR, lab and other types of RWD and is skilled in translating business needs into scalable, high-impact data products. This role will be instrumental in shaping data-driven products, optimizing data architectures, and ensuring the integration of real-world data assets into enterprise solutions that support life sciences, healthcare, and payer analytics. Responsibilities Define and drive the requirements for RWD data products. Collaborate with leadership, product managers, customers, and data scientists to identify high-value use cases. Translate business and regulatory requirements into scalable and performant data models and solutions. Develop architectures to support payer claims, labs, ehr-sourced insight generation and analytics. Partner with healthcare providers, payers, and life sciences companies to enhance data interoperability. Work closely with Engineering to design and implement responsive analytics layer and data architectures. Provide technical guidance on ETL pipelines, data normalization, and integration with third-party RWD sources. Architect solutions to aggregate, standardize, and analyze EHR and molecular data, ensuring compliance with healthcare regulations (HIPAA, GDPR). Define best practices for claims data ingestion, quality control, and data transformations. Develop frameworks for processing structured and unstructured EHR data, leveraging NLP and data harmonization techniques. Ensure compliance with HIPAA, GDPR, and regulatory frameworks for healthcare data products. Define and implement data governance strategies to maintain high data integrity and lineage tracking. Requirements Deep understanding of payer data, claims lifecycle, EHR, labs and real-world data applications. Ability to translate business needs into technical solutions and drive execution. Strong understanding of data product lifecycle and product management principles. Experience working with cross-functional teams, including Product, Engineering, Clinical, Business and Customer Success. Excellent communication skills to engage with both technical and non-technical stakeholders. Expertise in RWD and payer data structures (claims, EMR/EHR, registry data, prescription data, etc.). Proficiency in SQL and NoSQL databases (PostgreSQL, Snowflake, MongoDB, etc.). Strong knowledge of ETL processes and data pipeline orchestration. Experience with big data processing (Spark, Databricks, Hadoop). Understanding of payer and provider data models used in healthcare analytics. Strong presentation and documentation skills to articulate solutions effectively. Experience working with payer organizations, PBMs, life sciences, and health plans. Experience with OMOP, FHIR, HL7, and other healthcare data standards. Knowledge of data governance, metadata management, and lineage tracking tools. Experience in pharmaceutical RWE studies and market access analytics. Familiarity with BI tools (Tableau, Power BI, Looker). Understanding of data mesh and federated data architectures.