Intelligent Medical Objects (IMO)

• Build and operate production-grade data platforms that support IMO’s terminology-driven products, analytics, and machine learning use cases • Design, develop, and maintain data pipelines for batch and incremental processing using modern lakehouse and cloud-native patterns • Work extensively with cloud data platforms (AWS + Databricks) to ingest, transform, and serve structured and semi-structured data at scale • Model data intentionally—developing well-documented, analytics- and product-ready data models that balance usability, performance, and correctness • Apply strong software engineering practices to data work, including version control, testing, CI/CD, and infrastructure-as-code • Collaborate directly with product, analytics, and AI teams to translate requirements into scalable technical solutions • Improve reliability, performance, and cost-efficiency of data systems through monitoring, observability, and continuous optimization • Design for data quality and trust, implementing automated checks, validation frameworks, and lineage-aware workflows • Contribute to platform evolution, helping shape standards around orchestration, data modeling, environments, and deployment • Operate in an Agile environment, taking ownership of deliverables and proactively identifying risks and opportunities • Mentor and support other engineers, leading by example in code quality, problem decomposition, and technical decision-making • Continuously learn and apply industry best practices in data engineering, analytics engineering, and AI data foundations

• Lead the development and execution of strategies to drive new business growth and increase engagement with health tech clients. • Support the achievement of sales targets and provide accurate forecasts, opportunity updates, and quarterly business reviews in collaboration with our Health Tech Sales Team. • Monitor and report on product adoption, utilization, and client engagement to track success and identify opportunities for improvement. • Analyze market trends, client workflows, and research challenges to articulate product ROI and scientific or operational impact. • Create tailored product value analyses and ROI models for health tech clients based on a deep understanding of clinical, billing, and data workflows across healthcare platforms. • Recommend market segmentation and account strategies informed by product expertise and healthcare industry knowledge. • Collaborate with Marketing and Business Development teams to execute targeted campaigns and go-to-market initiatives. • Provide guidance on best practices and support sales enablement through product training for the Health Tech Sales Team. • Facilitate offer and contract discussions to ensure alignment with client needs and objectives. • Support early adopter clients by offering recommendations and guidance for successful implementation and integration of IMO Health solutions. • Gather and share client feedback to inform product development, commercialization, and cross-functional strategies. • Participate in all phases of product development to ensure alignment with health tech market needs. • Develop playbooks and enablement materials to drive rapid product adoption and maximize client value. • Deliver product briefings and subject matter expert-level presentations to educate and empower internal and external stakeholders.

• Drive growth by targeting and securing new business opportunities within Life Science organizations, effectively positioning IMO Health’s solutions. • Boost revenue by developing and executing strategic sales plans that achieve and surpass financial targets, focusing on IMO Health’s data quality products. • Cultivate and manage strong relationships with key stakeholders and decision-makers to expand IMO Health’s client base and strengthen market presence. • Identify and Secure New Opportunities: Proactively target, qualify, and advance new sales opportunities within Life Science organizations, ensuring the successful closure of deals to drive revenue growth. • Manage Sales Strategies: Develop and execute sales strategies and plans to achieve revenue goals for IMO’s data quality products, including data normalization and NLP solutions. Focus on expanding the customer base and addressing market needs. • Client Engagement: Create and implement detailed client engagement plans with specific objectives for all interactions, including calls and meetings, to build strong relationships and drive sales. • Sales Presentations and Collateral: Design and deliver impactful sales presentations and develop high-quality collateral that effectively communicates the value of IMO’s solutions. • Pipeline Management: Build and manage a strong revenue pipeline, ensuring timely follow-ups and progression of opportunities through the sales cycle. • Forecasting and Reporting: Own and maintain accurate business forecasts, providing clear visibility and predictability to sales leadership for effective decision-making.

• Ensure that life sciences engagements deliver clear customer value during pilot programs and early-stage deployments. • Bridge the pre-sales and post-sale phases of client engagements. • Work closely with Client Executives, Solution owners, and the Customer Success team to help design solutions, coordinate pilot execution, and support successful outcomes. • Support pilot programs related to Precision Patient Identification (PPI) and other terminology-driven solutions supporting clinical research, real-world evidence, and commercial analytics.

• Own the full ML lifecycle, including data ingestion, model training, validation, deployment, monitoring, retraining, and retirement. • Transition AI/ML models from prototypes into scalable, production-ready systems. • Build, deploy, and maintain CI/CD pipelines for ML models, ensuring reproducibility, scalability, and reliability. • Design and implement cloud-based infrastructure (AWS, Azure, or equivalent) for training, inference, and monitoring of AI models. • Automate repetitive ML lifecycle tasks to improve efficiency, consistency, and reliability in retraining and deployment workflows. • Integrate large language models (LLMs), generative AI, and NLP solutions into IMO Health’s Clinical AI products, focusing on unstructured clinical data. • Develop scalable inference pipelines and APIs to deliver AI capabilities to customer-facing solutions. • Apply containerization (Docker, Kubernetes) and Infrastructure-as-Code to manage production environments. • Implement monitoring, alerting, and performance dashboards to ensure model quality, detect drift, and maintain operational SLAs. • Optimize deployed models for latency, throughput, reliability, and cost efficiency. • Participate in system design and architecture discussions, providing expertise in MLOps and AI deployment best practices. • Collaborate in an Agile environment with cross-functional teams, aligning technical solutions with product and business goals.

• Own the full ML lifecycle, including data ingestion, training, validation, deployment, monitoring, retraining, and retirement. • Transition AI/ML prototypes into scalable, production-ready systems with CI/CD pipelines, automation, and observability. • Lead system design and architecture discussions, providing guidance on ML systems, MLOps, and AI infrastructure. • Develop and maintain AI-driven applications and inference services, optimizing for performance, scalability, reliability, and cost. • Integrate LLMs, generative AI, and NLP solutions into IMO Health products, focusing on unstructured clinical data. • Implement monitoring, alerting, logging, and dashboards to ensure model quality, detect drift, and maintain operational SLAs. • Build, maintain, and optimize CI/CD pipelines, automation scripts, and Infrastructure-as-Code for production ML systems. • Apply containerization (Docker, Kubernetes) and cloud infrastructure best practices to manage production environments. • Mentor and guide engineers, enforce technical standards, and drive reduction of technical debt. • Conduct root cause analysis of production defects and implement durable fixes. • Advocate for non-functional requirements (availability, scalability, reliability, maintainability) and design systems accordingly. • Collaborate cross-functionally with Product, Data Science, Architecture, and Engineering teams to align AI solutions with business goals.

• Serve as a technical resource in semantic web development on cross-skilled clinical, content, and data teams as we develop meaningful data relationship experiences. • Design and write quality source code for data pipelines and services, including detailed documentation of design and implementation. • Implement and maintain the deployment of semantic services using containerization technologies (Docker) and cloud orchestration platforms like Amazon ECS. Contribute to and maintain automated deployment, testing, and integration activities utilizing robust CI/CD pipelines. • Work together with the product owner to break down features into actionable user stories and technical tasks. • Utilize existing taxonomies and ontologies applicable to our work. Contribute to the documentation and publishing of taxonomies/ontologies, supporting the core concepts of our domain. • Adhere to and support the established governance process for structured data, ensuring compliance across implementations.

• Design, develop, and maintain full-stack platform components and services • Build and evolve REST APIs using C#/.NET • Develop and maintain Spark-based data integration pipelines in AWS environments • Build, deploy, and operate search and data platforms that support high availability and scale • Write high-quality, maintainable code with automated tests, CI/CD pipelines, and monitoring • Collaborate with engineers and architects on system design, scalability, and reliability decisions • Support production systems through monitoring, alerting, and participation in a rotational on-call schedule • Troubleshoot incidents, perform root cause analysis, and implement durable fixes • Partner with the product owner to break work into well-scoped user stories • Validate non-functional requirements, including performance, scalability, reliability, and availability • Follow established architecture and coding standards while minimizing regression risk • Mentor teammates, share knowledge, and contribute to innovation initiatives • Take ownership, act proactively, and anticipate the impact of technical decisions • Collaborate cross-functionally in an agile, engineering-first environment • Continuously learn and apply industry best practices and new technologies

• Own end-to-end program management for product and feature launches, including packaging, pricing, outbound messaging, and sales enablement. • Develop and execute partnership strategies to enhance market reach and drive channel integrations.   • Drive post-launch customer value storytelling through qualitative insights, customer references, and case studies.   • Lead GTM reporting activities, including executive readouts, KPI tracking, and transparent communication.  • Identify risks and dependencies, resolving blockers through mitigation planning and timely escalation. • Create artifacts and communication methods for senior leadership and Board of Directors updates.  • Develop and implement best practices to scale GTM program management across products and teams. • Cross-train other program managers to expand and mature GTM program management capabilities.

• At IMO, a team of clinicians, software developers, and data scientists combine computer science and medical expertise to help patients and healthcare professionals' access high quality health information that improves patient outcomes. • We’re seeking a Software Engineer to build high availability applications that power the extraction, enrichment, and structuring of clinical data, delivering value across the healthcare ecosystem. • You’ll collaborate with engineering, product, and architecture teams to deliver reliable, scalable solutions, write clean and testable code, and support CI/CD best practices. • We value engineers who are proactive, passionate about their craft, and eager to solve complex challenges together. • This role is part of a team dedicated to developing high-availability products on the Content and Data Management Platform.