9 Healthcare Data Jobs

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.