Data Analyst supporting the SB CIN Population Health IT Team, responsible for data ingestion, validation, mapping, and analytics within the Population Health Platform.
Compensation
Salary Range: $120,135 - $135,120 (pay will be determined based on experience, preferred qualifications, and education)
Responsibilities
Acquire and ingest data from multiple CIN Program participants
Validate and map data into the Population Health Platform
Develop SQL queries to generate reports and create data marts
Support Cerner’s Population Health Management suite
Maintain knowledge of Managed Care and ACO program specifications
Requirements
Bachelor’s Degree in Computer Science, Mathematics, Statistics, or other applied science field
Drive validation of clinical data science processes, ensuring they are fit for intended use before they touch study data.
Locations (2)
Søborg, Capital Region, Denmark
Aalborg, North Denmark, Denmark
Compensation
For this role, the Annual Base Salary ranges from 742,600.00 DKK to 1,091,600.00 DKK, corresponding to the level of the position.
Responsibilities
Drive validation of clinical data science processes
Plan and coordinate validation for new or updated processes
Assess and document process risks
Prepare and maintain Process Validation Plans and Reports
Run risk-based walkthroughs and spot checks
Requirements
A degree in information technology, computer science, engineering, data science, life sciences or a related discipline, or equivalent relevant professional experience
The proposed salary range for this position is: $120,800 - $265,800
Responsibilities
Craft and execute an innovative AI strategy that will revolutionize the Army Intelligence Enterprise
Lead high-impact AI projects from conception to completion
Spearhead cutting-edge research initiatives and explore advanced AI projects
Define and evaluate AI and data system requirements to ensure they meet technical feasibility, functional adequacy, and align with evolving Army materiel requirements
Collaborate with data teams to establish, enforce, and maintain data and AI standards across the Intelligence Enterprise
Senior AI & ML Engineer responsible for building, deploying, and operating enterprise AI platform capabilities for financial services and insurance.
Compensation
In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually.
Responsibilities
Build, apply, and promote adoption of platform-wide standards, reusable design patterns, and golden-path templates for AI solutions
Drive end-to-end delivery of new platform capabilities from technical discovery to production rollout
Build and operationalize the core platform service catalog including LLM gateway, prompt lifecycle management, agentic orchestration, RAG pipelines, vector stores, and model registries
Build and maintain robust CI/CD and AIOps pipelines for AI systems
Implement enterprise-grade multi-agent and single-agent workflow patterns for high-value business use cases
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent
Master’s degree in AI, Machine Learning, Data Science, or related discipline (preferred)
Nice to have: Master’s degree in AI, Machine Learning, Data Science, or related discipline
Nice to have: Consulting or enterprise delivery background
Nice to have: Experience in regulated industries (insurance, financial services, or healthcare)
As a Lead Cloud Platform Engineer, you’ll play a key role in shaping the platforms that support our digital services. You’ll help build secure, reliable and scalable cloud solutions that enable our teams to deliver high-quality care and support to customers.
Senior Forward Deployed Engineer responsible for designing, deploying, and supporting AI solutions for enterprise customers, collaborating with product and engineering teams to improve platform reliability and scalability.
Working with internal stakeholders, you will use your expertise to gather existing and/or new data and undertake analysis to provide data insights across GBS.
Locations (2)
Manchester, England, United Kingdom
Greenford, England, United Kingdom
Compensation
£30,000 - £35,000
Responsibilities
Work within a team to manage new data projects from end-to-end, gathering requirements through to developing and implementing new reports.
Engage with stakeholders to validate their requirements, review policies/procedures and present solution options in a manner that can be evaluated to meet needs.
Extract, prepare and collate raw data from multiple sources and provide analysing and manipulating data to produce customised reports and insights.
Analyse and interpret data to assist in providing solutions to deliver improved service delivery/performance and an optimal student experience.
Monitor and assist in audits for data quality, data integrity and data governance.
Lead media measurement strategy and testing agenda for key client accounts, develop measurement frameworks, analyze data, and communicate insights to clients and internal teams.
Locations (2)
Carbondale, Colorado, United States
Denver, Colorado, United States
Compensation
Salary: $80-$90k annually
Responsibilities
Define and own cross-channel measurement strategies
Analyze data and foster trusted client relationships
Present performance results to clients and internal collaborators
Design and evaluate media experimentation
Implement and interpret results from media, web, and measurement models
Requirements
Bachelor’s Degree in marketing, data analytics, business, or related fields
The starting salary range posted for this position is $149,100.00 to $218,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Partner with enterprise customers to understand technical requirements and business goals.
Design scalable AI solution architectures and guide customers through production deployments.
Build integrations, prototypes, and reusable tools that accelerate customer success.
Lead technical workshops, architecture discussions, and troubleshoot complex production issues.
Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
Requirements
Bachelor’s degree in Computer Science or a related technical field
33 days' annual leave (including bank holidays), 1-day extra day of leave per year of service (up to 5 days), and Buy/Sell additional holidays (up to 5 days)
Tuition reimbursement for career development courses
Pension Scheme and Flexible Benefits (via salary sacrifice)
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