Supports the development of reporting and analytics solutions that drive operational, clinical, and financial decision-making across the healthcare enterprise.
Responsibilities
Assists in the creation and maintenance of standard and ad hoc reports, dashboards, and visualizations.
Modifies existing reports under guidance and develops basic reporting solutions from defined requirements.
Helps document report specifications, definitions, and data sources.
Supports users in retrieving data and understanding basic report content.
Provides training and support to others to ensure effective use of business intelligence reports, tools, and solutions.
Support the implementation of internal and external data-enabled solutions for Thomson Reuters Special Services (TRSS), requiring hands-on technical expertise in data cleaning, integration, extraction, analysis, and delivery of structured and unstructured data.
Lead and develop mission-focused cyber training solutions as part of the Mangrove Development team.
Compensation
$200,000 - $250,000
Responsibilities
Review software designs, architecture, and code to ensure maintainability, scalability, and adherence to engineering best practices.
Design, develop, deploy, and maintain user interfaces, backend services, APIs, databases, automation tools, and testing infrastructure.
Design, implement, maintain, and continuously improve software development and deployment pipelines.
Provide technical leadership for the creation, maintenance, troubleshooting, and continuous improvement of realistic cyber training environments and the software and testing infrastructure that support them.
Perform software testing, debugging, validation, and analysis of results.
Requirements
Master’s Degree in Computer Science, Software Engineering, Information Systems, or related field
Bachelor’s Degree in the same fields
Associates Degree or 18 semester hours of military coursework/training in a computer related field
Lead and develop mission-focused cyber training solutions as part of the Mangrove Development team.
Compensation
$200,000 - $250,000
Responsibilities
Review software designs, architecture, and code to ensure maintainability, scalability, and adherence to engineering best practices.
Design, develop, deploy, and maintain user interfaces, backend services, APIs, databases, automation tools, and testing infrastructure.
Design, implement, maintain, and continuously improve software development and deployment pipelines.
Provide technical leadership for the creation, maintenance, troubleshooting, and continuous improvement of realistic cyber training environments and the software and testing infrastructure that support them.
Perform software testing, debugging, validation, and analysis of results.
Requirements
Master’s Degree in Computer Science, Software Engineering, Information Systems, or related field
Bachelor’s Degree in the same fields
Associates Degree or 18 semester hours of military coursework/training in a computer related field
Define the data foundation of Esko's next-generation cloud platform, shaping data architecture, modeling, and governance across cloud-native products and shared services.
Responsibilities
Define data architecture and modeling patterns for a scalable, secure, multi-tenant cloud platform supporting multiple products and thousands of customers.
Establish patterns for data ownership, domain boundaries, data access, consistency, distribution, lifecycle, and evolution across products and services.
Define architecture across relational, NoSQL, graph, search, and distributed data technologies, selecting appropriate technologies and patterns based on application and domain requirements.
Develop knowledge and semantic architecture, including knowledge graphs, ontologies, domain models, entity relationships, and semantic models that connect information across product domains.
Define patterns for sharing data across services and products through APIs and events while maintaining clear ownership, security, tenant isolation, and appropriate consistency.
Design, develop, and test robust, scalable scientific web applications, backend systems, and cloud-native architectures that power AI/ML workflows and build foundational AgentOps capabilities.
Compensation
The expected salary range for this position based on the primary location of San Franscico, CA is $168,100- $312,300 Annual.
Responsibilities
Design, develop, and test robust, scalable scientific web applications, backend systems, and cloud-native architectures that power AI/ML workflows.
Build foundational AgentOps capabilities—including evaluation frameworks, observability, secure execution environments, memory/retrieval systems, and model routing—to deploy and operate AI agents at scale.
Establish AI data readiness capabilities by structuring, validating, and standardizing diverse scientific datasets to ensure reproducibility, traceability, and trustworthiness.
Develop tooling to evaluate AI/ML model performance and define new metrics for assessing AI output quality.
Partner directly with product managers, computational scientists, and research teams to translate complex scientific challenges into actionable technical specifications.
Requirements
Bachelor’s degree with 5+ years of relevant experience
Master’s degree with 3+ years of relevant experience
Join the Compound Library Enhancement and Logistics (CLEL) team to build next-generation workflow engines that track, plan, and securely connect decisions across the automated IT infrastructure, modernizing legacy systems for scalable automation and AI in drug discovery.
Responsibilities
Scope, design and engineer an interconnected next-generation business workflow engine capable of mapping, tracking, and capturing decisions and data across automated business processes.
Develop solutions to lower technical barriers for sample, data and information transfer, as well as decision-making at the interface of internal or external stakeholder-facing systems.
Support compliance workflows in sample and data management (i.e. sample decisions, documentation), as well as overhaul automated compound QC workflows towards AI-assisted data analysis pipelines.
Partner with automation engineers and laboratory staff to generate business dashboards and track key performance indicators (KPIs) and interface effectiveness to key stakeholders.
Shape and drive ongoing transition to AI-based software development: build and maintain tools together with AI coding assistants, and establish practices for AI-generated solutions.
Requirements
University degree
M.S. or B.S. in computer science, cheminformatics, a life science or another scientific discipline with a strong computational focus
Equivalent practical experience and expertise in laboratory automation and research informatics
The base compensation range for the role in any of those locations is $94,000 USD - $175,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $82,000 USD - $152,200 USD. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
Responsibilities
Work directly with internal teams and customer technology staff to implement and support custom TRSS client solutions and Proofs of Concept (POCs)
Design, build, and support data pipelines and workflows that improve the usability and efficiency of internal and external data sets
Support and continuously improve internal processes, including opportunities for robotic process automation
Provide solution architecture support for business opportunities
Provide technical expertise and guidance to leadership regarding customer technology requirements and infrastructure
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
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