Principal Solutions ConsultantApply

Responsibilities\n \nLeveraging AI/ML techniques and solutions to Identify and mathematically interpret complex healthcare problems.\n \nDeploy and optimize machine learning solutions on massive datasets using big data technologies.\n \nDevelop and prototype AI algorithms and software tools.\n \nImplement enhancements to existing algorithmic / Machine Learning solutions.\n \nConduct quantitative data analysis using a variety of datasets.\n \nIncrease efficiency and improve the quality of solutions offered.\n \nUnderstand business use cases and pull the necessary data from various sources to provide key insights to stakeholders.\n \nBuild and deploy additional functionalities as per client requirements.\n \nShould be able to contribute to Applied ML research projects.\n \nLeverage recent advances in machine learning technologies and oversee the team's training.\n \nLead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems.\n \nDesired Profile\n \nBachelor's Degree/master's degree in computer science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college\n \nHave an excellent academic background with strong Hands-on Knowledge of Python OR Scala.\n \nHands-on Software Development Skills (Scala-Preferred).\n \nUnderstands the core concepts of Machine Learning and the math behind it.\n \nHave good knowledge of existing ML tools and technologies.\n \nKnow all the general best practices of Machine Learning.\n \nAble to understand the internals of popular ML tools and as per the need able to modify existing popular tools and algorithms as per the need.\n \nKnowledge of statistical techniques, linear algebra, numerical optimization.\n \nExperience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms.\n \nKnowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing.\n \nAbility to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies.\n \nExcellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience).\n \nAbility to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area.\n \nProven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems.\n \nStrong analytical, inferential, critical thinking, and creative problem-solving skills\n \nSelf-starter with ability to work both independently and with a team.\n \nResponsibilities\n\n \tLeverage AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems.\n \nDeploy and optimize machine learning solutions on massive datasets using big data technologies.\n \nDevelop and prototype AI algorithms and software tools.\n \nImplement enhancements to existing algorithmic/deep learning solutions.\n \nConduct quantitative data analysis using a variety of datasets.\n \nIncrease efficiency and improve the quality of solutions offered.\n \nUnderstand business use cases and pull the necessary data from various sources to provide key insights to stakeholders. Build and deploy additional functionalities as per client requirements.\n \nLeverage recent advances in machine learning technologies and oversee the team's training.\n\n \nLead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems.\n \nDesired Profile\n\n \tBachelor's Degree/master's degree in computer science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college\n \nHave 3 - 5 years of experience in analyzing large volumes of data and building predictive models.\n \nHands-on Software Development Skills (Scala preferred)\n \nExperience or educational courses/projects in Machine Learning, and/or Text\nMining Algorithms\n\n \nKnowledge of statistical techniques, linear algebra, and numerical optimization\n \nKnowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing\n \nKnow all the general best practices of Machine Learning\n \nAbility to work closely with domain experts to develop tools/algorithms needed to answer research questions in their studies\n \nExcellent communication skills (with the ability to explain developed tools and ML algorithms to a non-technical audience)\n \nAbility to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area\n\n* \tProven ability to work independently to learn new technologies, techniques, processes, languages, platforms, and systems\n \nStrong analytical, inferential, critical thinking, and creative problem-solving skills\n \nSelf-starter with ability to work both independently and with a team\n \nResponsibilities\n \nProvision, configure, and maintain AWS cloud infrastructure using Infrastructure as Code (IaC) principles.\n \nDesign and implement scalable, reliable, and secure cloud infrastructure using AWS services such as EC2, S3, VPC, Lambda, and others.\n \nBuild and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems.\n \nDesign, deploy, and manage CI/CD pipelines across multiple environments to ensure seamless application delivery.\n \nAutomate the code delivery pipeline with goals of achieving one-click deployments, rollbacks, and parameterized builds.\n \nImplement best practices for securing cloud infrastructure, including VPC, IAM, security groups, and NACL.\n \nDesign and deploy monitoring solutions using AWS CloudWatch and ELK Stack to ensure optimal performance of infrastructure and applications.\n \nLead initiatives to strengthen cloud security through the introduction of new solutions and improvements.\n \nCollaborate with software engineers, QA, and other cross-functional teams to ensure a smooth development and deployment process.\n \nLead projects through design, pilot, and deployment phases for new DevOps and security solutions in production.\n \nDesired Profile\n \nProven experience with AWS services such as EC2, S3, Lambda, VPC, CloudFront, API Gateway, ECS, IAM, CloudFormation, and CodeDeploy.\n \nHands-on experience with Infrastructure as Code (IaC) tools like CloudFormation and Terraform.\n \nWorking knowledge of Kubernetes, Helm, and Argo for managing containers, deploying applications, and automating workflows.\n \nProficiency in containerization using Docker and deployment orchestration tools such as Jenkins and GitHub Actions.\n \nExperience with automating infrastructure management and application deployment using Python, Bash, Shell scripting, or similar programming languages.\n \nExperience with CI/CD pipelines and build automation.\n \nStrong understanding of cloud security principles, including IAM roles, security groups, VPC, and other AWS security mechanisms.\n \nMonitoring and performance tuning experience for AWS infrastructure (EC2, RDS, S3).\n \nExperience with relational and non-relational databases like RDS and DynamoDB.\n \nStrong background in Linux systems administration and experience with web and application server technologies like Apache, Nginx, IIS, etc.\n \nFamiliarity with Agile/Scrum development methodologies.\n \nExperience in DevOps tools like Chef, Puppet, or Ansible is a plus.\n \nBachelor's or Master's degrees in Computer Science, Engineering, or any other relevant discipline\n \n3 to 7 years of experience in DevOps, cloud architecture, and AWS infrastructure management.\n \nProven track record of leading or contributing to the development of high-availability, secure, and scalable cloud infrastructure.\n \nResponsibilities\n \nWork with business teams to provide end to end solutions\n \nAbility to communicate effectively with teams and clients\n \nUnderstand project requirements, coordinate with resources and direct the projects in the right direction in a timely manner. \n \nAbility to manage change and effectively pass on the information down the line to concerned teams for smoother execution\n \nDelegate and allocate responsibilities efficiently to manage projects end to end\n \nProvide direction and technical expertise in design, development and systems integration\n \nAble to make quick decisions and solve technical problems to provide an efficient environment for project implementation\n \nIdentify resource requirements, efficient capacity planning\n \nEffectively lead teams and inspire others to achieve goals through innovation, quality and excellence\n \nEncourage team interaction, boost employee motivation and appreciate team contribution\n \nBoost operational efficiency and development productivity of the team\n \nManage and grow individual team members, attract and recruit new talent responsible for ever-growing technical challenges\n \nDesired Profile\n \nEngineering degree in computer science or related field from a renowned and accredited engineering college or university\n \n6 to 10+ years' proven growth journey from a developer to a lead role in fast-paced IT product companies is a must\n \nBe both highly technical and an effective people manager\n \nCommunicate cross-functionally and drive engineering efforts\n \nBe a Subject Matter Expert in one or more product domains\n \nShould have demonstrated ability to recruit and manage technical teams, including performance management\n \nShould have managed a team of 10+ members and willingness to handle larger teams\n \nExceptional communication and interpersonal skills\n \nNice to have experience into Healthcare/ Insurance domain but not a must to have\n \nResponsibilities\n \nWork with business teams to provide end to end solutions\n \nAbility to communicate effectively with teams and clients\n \nUnderstand project requirements, coordinate with resources and direct the projects in the right direction in a timely manner. \n \nAbility to manage change and effectively pass on the information down the line to concerned teams for smoother execution\n \nDelegate and allocate responsibilities efficiently to manage projects end to end\n \nProvide direction and technical expertise in design, development and systems integration\n \nAble to make quick decisions and solve technical problems to provide an efficient environment for project implementation\n \nIdentify resource requirements, efficient capacity planning\n \nEffectively lead teams and inspire others to achieve goals through innovation, quality and excellence\n \nEncourage team interaction, boost employee motivation and appreciate team contribution\n \nBoost operational efficiency and development productivity of the team\n \nManage and grow individual team members, attract and recruit new talent responsible for ever-growing technical challenges\n \nDesired Profile\n \nEngineering degree in computer science or related field from a renowned and accredited engineering college or university\n \n6 to 10+ years' proven growth journey from a developer to a lead role in fast-paced IT product companies is a must\n \nBe both highly technical and an effective people manager\n \nCommunicate cross-functionally and drive engineering efforts\n \nBe a Subject Matter Expert in one or more product domains\n \nShould have demonstrated ability to recruit and manage technical teams, including performance management\n \nShould have managed a team of 10+ members and willingness to handle larger teams\n \nExceptional communication and interpersonal skills\n \nNice to have experience into Healthcare/ Insurance domain but not a must to have\n \nResponsibilities\n \nDesign, develop, and maintain robust and scalable ETL/ELT pipelines to ingest and transform large datasets from various sources.\n \nOptimize and manage databases (SQL/NoSQL) to ensure efficient data storage, retrieval, and manipulation for both structured and unstructured data.\n \nCollaborate with data scientists, analysts, and engineers to integrate data from disparate sources and ensure smooth data flow between systems.\n \nImplement and maintain data validation and monitoring processes to ensure data accuracy, consistency, and availability.\n \nAutomate repetitive data engineering tasks and optimize data workflows for performance and scalability.\n \nWork closely with cross-functional teams to understand their data needs and provide solutions that help scale operations.\n \nEnsure proper documentation of data engineering processes, workflows, and infrastructure for easy maintenance and scalability\n \nDesired Profile\n \nBachelor's or Master's degree in Computer Science, Information Technology, or a related field.\n \n3-5 years of hands-on experience as a Data Engineer or in a related data-driven role.\n \nStrong experience with ETL tools like Apache Airflow, Talend, or Informatica.\n \nExpertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).\n \nStrong proficiency in Python, Scala, or Java for data manipulation and pipeline development.\n \nExperience with cloud-based platforms (AWS, Google Cloud, Azure) and their data services (e.g., S3, Redshift, BigQuery).\n \nFamiliarity with big data processing frameworks such as Hadoop, Spark, or Flink.\n \nExperience in data warehousing concepts and building data models (e.g., Snowflake, Redshift).\n \nUnderstanding of data governance, data security best practices, and data privacy regulations (e.g., GDPR, HIPAA).\n \nFamiliarity with version control systems like Git.\n \nResponsibilities\n \nDefine and drive the architecture of scalable, reliable, and maintainable software systems that meet HiLabs' business and technical goals.\n \nCollaborate with cross-functional teams including product managers, data scientists, and UX/UI designers to translate business requirements into technical specifications\n \nArchitect and maintain scalable, reliable, and high-performance software systems in accordance with industry best practices.\n \nProvide technical guidance and mentorship to junior developers, fostering a culture of continuous learning and innovation.\n \nDrive code reviews, quality assurance processes, and deployment strategies to ensure the delivery of high-quality software products.\n \nFull-stack application development with both front-end and back-end development. Use different front-end technologies to build intuitive and responsive user Interfaces\n \nCreation of highly modular and reusable components/APIs as per the business needs\nDesign and development of robust application tier and backend architecture using different technologies\n\n \nManaging the complete software development process from conception to deployment\n \nFollowing best design and development practices to ensure high quality of software\n \nDesign, build and maintain efficient, secure, reusable, and reliable code\nStay updated on emerging technologies and industry trends, integrating relevant advancements into our software development practices.\n\n \nContribute to the technical roadmap and strategy, identifying opportunities for optimization and enhancement of our AI solutions\n \nCollaborate with stakeholders to gather feedback, address technical challenges, and iterate on product features to meet customer needs\n\n\n \nDesired Profile\n \nBachelor's or master's degrees in computer science, Mathematics, or any other quantitative discipline\n \n10+ years of experience in software development, with at least 3 years in a technical architect role, experience in developing JAVA/J2EE/Spring based applications.\n\n\n \nProficiency in designing and deploying cloud-native applications using AWS, Azure, or GCP.\n \nStrong understanding of microservices architecture, API development, and containerization technologies (e.g., Docker, Kubernetes) \n \nStrong knowledge of object-oriented programming concepts and principles\nExpertise in Spring-Boot & Spring stacks\n\n \nStrong knowledge of Microservices, RESTful API design and development\n \nGood understanding of large system architecture and design\n \nExperience working with React, jQuery, HTML5/CSS3, and Bootstrap frameworks.\n \nUnderstanding of Big Data technologies is a plus\n \nKnowledge of the AWS cloud environment is a plus\n \nExperience using Version Control tools such as Bitbucket/GIT code repository\n \nExperience using Tools like Maven/Jenkins, JIRA\n \nExperience working in an Agile software delivery environment, with exposure to\ncontinuous integration and continuous delivery tools\n\n \nPassionate about technology and delivering solutions to solve complex business problems\n \nGreat collaboration and interpersonal skills\n \nAbility to work with team members and lead by example in code, feature\ndevelopment, and knowledge sharing.\n\n \nResponsibilities\n \nLead the design and implementation of test plans across functional, regression, performance, scalability, and AI/ML testing; oversee automated test frameworks and CI/CD integrations.\n \nEnsure robust validation of AI/ML models used in clinical or scientific applications, including bias detection, reproducibility, and performance benchmarking.\n \nPromote QA best practices and foster a culture of quality across engineering, product, and operations teams.\n \nCollaborate with cross-functional stakeholders to embed quality throughout the PDLC and SDLC, and define quality requirements, validation strategies, and testing timelines.\n \nMaintain and apply Quality Systems to ensure compliance with specifications, regulatory standards, and internal policies.\n \nAct as a liaison between QA and other functional teams to align operational and quality objectives.\n \nProvide strategic QA input for new projects, product development, R&D initiatives and technology transfer.\n \nManage multiple QA members, including performance evaluations, coaching, training, mentoring, and career development.\n \nCommunicate quality goals, metrics, risks, and system performance to executive leadership.\n \nMonitor and report on quality metrics, release readiness, and risk assessments.\n \nOversee validation programs, including planning, execution, and documentation of process and equipment validations.\n \nDrive continuous improvement initiatives and implement cost-effective quality enhancements.\n \nEvaluate and select QA tools, automation frameworks, and technologies; review and approve test strategies, validation protocols, and quality documentation.\n \nStay informed on emerging trends in quality assurance, compliance, and testing technologies.\n \nDesired Profile\n \nBachelor's degree related field and a minimum of 10 years of relevant work experience in computer Science, Engineering, cloud/infrastructure technologies, information technology (IT) consulting/support, software development/support, technology solutions.\n \n12+ years of experience in software QA\n \nMinimum 5 years of experience in managing teams.\n \n6-8 years of experience working in a customer-facing role and leading projects.\n \nDeep understanding of SaaS architecture, cloud platforms (e.g., AWS), and agile development methodologies.\n \nResponsibilities\n \nDefine and drive the architecture of scalable, reliable, and maintainable software systems that meet HiLabs' business and technical goals.\n \nCollaborate with cross-functional teams including product managers, data scientists, and UX/UI designers to translate business requirements into technical specifications\n \nArchitect and maintain scalable, reliable, and high-performance software systems in accordance with industry best practices.\n \nProvide technical guidance and mentorship to junior developers, fostering a culture of continuous learning and innovation.\n \nDrive code reviews, quality assurance processes, and deployment strategies to ensure the delivery of high-quality software products.\n \nFull-stack application development with both front-end and back-end development. Use different front-end technologies to build intuitive and responsive user Interfaces\n \nCreation of highly modular and reusable components/APIs as per the business needs\nDesign and development of robust application tier and backend architecture using different technologies\n\n \nManaging the complete software development process from conception to deployment\n \nFollowing best design and development practices to ensure high quality of software\n \nDesign, build and maintain efficient, secure, reusable, and reliable code\nStay updated on emerging technologies and industry trends, integrating relevant advancements into our software development practices.\n\n \nContribute to the technical roadmap and strategy, identifying opportunities for optimization and enhancement of our AI solutions\n \nCollaborate with stakeholders to gather feedback, address technical challenges, and iterate on product features to meet customer needs\n\n\n \nDesired Profile\n \nBachelor's or master's degrees in computer science, Mathematics, or any other quantitative discipline\n \n10+ years of experience in software development, with at least 3 years in a technical architect role, experience in developing JAVA/J2EE/Spring based applications.\n\n\n \nProficiency in designing and deploying cloud-native applications using AWS, Azure, or GCP.\n \nStrong understanding of microservices architecture, API development, and containerization technologies (e.g., Docker, Kubernetes) \n \nStrong knowledge of object-oriented programming concepts and principles\nExpertise in Spring-Boot & Spring stacks\n\n \nStrong knowledge of Microservices, RESTful API design and development\n \nGood understanding of large system architecture and design\n \nExperience working with React, jQuery, HTML5/CSS3, and Bootstrap frameworks.\n \nUnderstanding of Big Data technologies is a plus\n \nKnowledge of the AWS cloud environment is a plus\n \nExperience using Version Control tools such as Bitbucket/GIT code repository\n \nExperience using Tools like Maven/Jenkins, JIRA\n \nExperience working in an Agile software delivery environment, with exposure to\ncontinuous integration and continuous delivery tools\n\n \nPassionate about technology and delivering solutions to solve complex business problems\n \nGreat collaboration and interpersonal skills\n \nAbility to work with team members and lead by example in code, feature\ndevelopment, and knowledge sharing.\n\n \nJob summary\n \nWe are a leading Software as a Service (SaaS) company that\nspecializes in the transformation of data in the US healthcare industry through cutting-edge Artificial Intelligence (AI) solutions. As a Senior Data Scientist at HiLabs, you will partner closely with a team of stake holders, product managers, and data engineers to solve real problems in healthcare domain. HiLabs is looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products. The individual would work on developing and implementing machine learning algorithms for various HiLabs products and solutions.\n \nResponsibilities\n \nBachelor's Degree/master's degree in computer science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college\n \nHave 3 - 5 years of experience in analyzing large volumes of data and building predictive models\n \nHands-on Software Development Skills (Scala preferred)\n \nExperience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms\n \nKnowledge of statistical techniques, linear algebra, and numerical optimization\n \nKnowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing\n \nKnow all the general best practices of Machine Learning\n \nAbility to work closely with domain experts to develop tools/algorithms needed to answer research questions in their studies\n \nExcellent communication skills (with the ability to explain developed tools and ML algorithms to a non-technical audience)\n \nAbility to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area\n \nProven ability to work independently to learn new technologies, techniques, processes, languages, platforms, and systems\n \nStrong analytical, inferential, critical thinking, and creative problem-solving skills\n \nSelf-starter with ability to work both independently and with a team\n \nDesired Profile\n \nExperience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch,Mxnet etc.\n \nExperience with interpretability of deep learning models\n \nBig Data Skills (Hadoop, Spark, and recent deep learning platforms)\n \nExperience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection\n \nExpert software development skills including developing and maintaining production quality code\n \nJob Summary\n \nWe are a leading Software as a Service (SaaS) company that specializes in the transformation of data in the US healthcare industry through cutting-edge Artificial Intelligence (AI) solutions. We are seeking job Principal Data Scientist. As a Principal Data Scientist at HiLabs, you will partner closely with a team of stake holders, product managers, and data engineers to solve real problems in healthcare domain.\nHiLabs is looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products. Our potential members would work on developing and implementing machine learning algorithms for various HiLabs Products and Solutions.\n \nResponsibilities\n \nLeveraging AI/ML techniques and solutions to Identify and mathematically interpret complex healthcare problems.\n \nDeploy and optimize machine learning solutions on massive datasets using big data technologies.\n \nDevelop and prototype AI algorithms and software tools.\n \nImplement enhancements to existing algorithmic / Machine Learning solutions\n \nConduct quantitative data analysis using a variety of datasets.\n \nIncrease efficiency and improve the quality of solutions offered.\n \nUnderstand business use cases and pull the necessary data from various sources to provide key insights to stakeholders.\n \nBuild and deploy additional functionalities as per client requirements.\n \nShould be able to contribute to Applied ML research projects.\n \nShould be an end-to-end ML problem solver.\n \nShould have good understanding of the Business needs of the project.\n \nLeverage recent advances in machine learning technologies and oversee the team's training.\n \nLead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems.\n \nIndependently own and lead a product segment or area of research in Data Science divisions.\n \nTake ownership of product completeness and deliveries.\n \nTakes initiatives in innovation and research areas of Product development.\n \nDesired Profile\n \nBachelor's Degree/master's degree in computer science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college.\n \nHave 7 \u2013 10+ years of experience in analyzing large volumes of data and building predictive models.\n \nHands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testing.\n \nHave an excellent academic background with strong Hands-on Knowledge of Python OR Scala.\n \nHands-on Software Development Skills (Scala-Preferred).\n \nUnderstands the core concepts of Machine Learning and the math behind it.\n \nHave good knowledge of existing ML tools and technologies.\n \nKnow all the best general practices of Machine Learning\n \nAble to understands the internals of popular ML tools and as per the need able to modify existing popular tools and algorithms as per the need.\n \nExperience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms.\n \nKnowledge of statistical techniques, linear algebra, numerical optimization\n \nKnowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing.\n \nAbility to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies.\n \nExcellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience)\n \nAbility to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area.\n \nProven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems.\n \nStrong analytical, inferential, critical thinking, and creative problem-solving skills\n \nSelf-starter with ability to work both independently and with a team.\n \nResponsibilities\n \nActing as a trusted technical advisor throughout complex enterprise sales cycles\n \nPartnering with Account Executives to drive strategic customer engagements\n \nLeading product demonstrations, technical workshops, and solution discussions\n \nDesigning solution strategies aligned with customer business and operational goals\n \nTranslating complex technical concepts into compelling business value narratives\n \nSupporting RFPs, RFIs, security reviews, and technical validation processes\n \nCollaborating with Product and Engineering teams to influence roadmap and product enhancements\n \nSupporting go-to-market initiatives including webinars, industry events, and executive presentations\n \nBuilding scalable technical assets including demo environments, solution briefs, and presentations\n \nDesired Profile\n \n8 to 12+ years of experience in Solutions Consulting, Sales Engineering, Solutions Architecture, or similar customer-facing technical roles\n \nStrong understanding of healthcare provider data management, credentialing, and enrollment workflows\n \nFamiliarity with healthcare regulatory frameworks such as NCQA, CAQH, CMS\n \nProven ability to influence both technical and business stakeholders in enterprise sales cycles\n \nStrong experience delivering technical presentations and executive-level customer engagements\n \nExcellent communication and storytelling skills with the ability to simplify complex technical concepts\n \nStrong collaboration experience across Sales, Product, Engineering, and Marketing teams\n \nExperience with healthcare IT systems, integrations, and interoperability concepts is highly preferred\n \nLocation & Work Model\n \nOnsite role based in Bethesda, Maryland\n \nOpen to candidates across the US who are willing to relocate\n \nOpportunity to work directly with senior leadership and strategic healthcare customers\n