The Clinical Research Scientist I conducts analyses that help DeepHealth evaluate new product opportunities, understand clinical needs, and assess the performance and potential impact of AI-enabled medical imaging products.
Compensation
Based on experience, $110,000-$130,000
Responsibilities
Collaborate with clinical, product, and technical teams to deliver analytics supporting clinical AI product validation
Query, combine, clean, and validate healthcare datasets, working with technical teams to resolve data issues and documenting definitions and limitations
Conduct exploratory and statistical analyses to characterize patient populations and clinical workflows, assess product performance, and evaluate the feasibility and potential clinical value of new product opportunities
Develop reproducible analyses and reusable tools, checking the accuracy of code and outputs and documenting assumptions, methods, and analytical decisions
Communicate findings and practical implications with non-technical stakeholders to support product decisions, clinical evidence planning, and scientific communications
Requirements
Advanced degree with experience in medical R&D (e.g., PhD or MD with 0-3 years of experience, or MS with 4-8 years of experience)
Act as a technical expert and leader driving the team towards success, developing architectures and designs for reliable scaling of software systems in autonomous robotics and material handling.
Locations (4)
Boise, Idaho, United States
Dallas, Texas, United States
Indianapolis, Indiana, United States
Grapevine, Texas, United States
Responsibilities
Contribute directly to ROS-based C++ and Python codebases on Linux systems
Create software designs, host design and code reviews, and engage with SDLC processes
Own key development and act as a key stakeholder in review approvals
The Logistics Operations Engineer (LOE) provides software-focused operational support to keep the Customer’s automated warehouse stable and running. The LOE monitors and troubleshoots KiSoft production environments, triages software incidents, restores service where possible through operational actions, and coordinates resolution by guiding on-site resources (e.g., RMTs) and escalating to the Service Desk when additional support is required.
Compensation
Industry competitive compensation
Responsibilities
Monitor and support the KiSoft ONE & KiSoft SRC software products to maintain stable warehouse operations
Respond to and triage software incidents; take appropriate operational actions within scope to restore service
Coordinate with on-site resources and support teams, escalate as needed to resolve issues and minimize downtime
Communicate system status and incident updates to relevant stakeholders and provide effective shift handover information
Maintain accurate support documentation and tickets, including Problem Management tickets for recurring issues
Join the FX options quantitative development team to build and maintain the pricing and risk analytics system that powers the FX Options trading desk, sitting at the intersection of software engineering and quantitative finance.
Compensation
receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: A discretional annual performance related bonus
Responsibilities
Build, maintain and develop analytics library for real-time and end of day pricing and risk management for FX Options products
Develop analytics production software using C++ and Python
Work closely with quants to provide technical support
Collaborate with technology teams to integrate new releases, functionality and models into risk and trading infrastructure
Apply sound risk awareness when contributing to business decisions
Requirements
Bachelor's degree or equivalent experience in mathematics, computer science, physics, or engineering
Master’s degree in a STEM discipline (Mathematics, Statistics, Physics, Computer Science, Data Science, Machine Learning, Artificial Intelligence, Operations Research, Quantitative Finance, Econometrics, Engineering)
Nice to have: FX Options
Nice to have: Derivatives products
Nice to have: Financial services environment experience
Develop scalable automation, monitoring and analytics solutions that improve operational efficiency, service quality and network reliability within the Unified Communications operations environment.
Responsibilities
Design, develop, test and maintain scalable automation and monitoring solutions for Unified Communications and network operations.
Build automation and observability frameworks using data analytics, Grafana, Prometheus, Kibana/ELK, microservices, APIs, GitHub and scripting technologies.
Configure and customise services such as Grafana, Prometheus, ELK and Jaeger to enable enhanced metrics, analytics, alerting, logging and distributed tracing.
Collaborate with network specialists to identify opportunities for operational automation, monitoring enhancements and service optimisation, including the use of UiPath RPA, Python or PHP scripting where appropriate.
Apply Continuous Integration and Continuous Deployment (CI/CD) principles and Agile delivery practices throughout solution development.
Ensure the smooth and reliable operation of Intelligent Network (IN) systems within a dynamic mobile network environment, supporting day-to-day IN network activities, planned maintenance, and critical migrations.
Responsibilities
Support and maintain the IN and associated support systems to ensure uninterrupted network operation
Execute Linux-based tasks and apply foundational knowledge of Cloud/Kubernetes environments
Carry out planned maintenance activities in accordance with scheduled timelines and change management processes
Handle problem escalations and follow-ups (CSRs) in coordination with NOC and Back Office teams
Prepare and submit outage reports with accurate and timely documentation
Responsible for ensuring the smooth and reliable operation of the Intelligent Network (IN) systems within a dynamic mobile network environment, supporting the Mobility Telecom Network.
Responsibilities
Support and maintain the IN and associated support systems to ensure uninterrupted network operation
Perform Health checks on Charging nodes and carry out routine system monitoring activities
Execute basic Linux-based tasks and apply foundational knowledge of Cloud/Kubernetes environments
Carry out planned maintenance activities in accordance with scheduled timelines and change management processes
Handle problem escalations and follow-ups (CSRs) in coordination with NOC and Back Office teams
Develop, implement, and integrate end-to-end Ericsson Charging and Monetization solutions across native and cloud-native environments, ensuring successful integration with telecom and IT ecosystems.
Responsibilities
Deploy, configure, integrate, and test Ericsson Charging solutions in native and cloud-native environments
Perform end-to-end integration with Core Network, 5G Core, CRM, Billing, Mediation, Policy Control, Self-Care, and partner systems
Configure and troubleshoot telecom protocols and interfaces including SS7, CAMEL, Diameter, HTTP/2, REST, and SOAP APIs
Participate in solution design activities, including low-level design, configuration planning, and interface specifications
Define and document integration use cases, call flows, and technical documentation
Requirements
B.Sc. degree in Engineering, Telecommunications, Computer Science, IT, or a related field
Opportunity to develop automation and observability solutions that directly contribute to the efficiency and reliability of Unified Communications and network operations.
Hands-on exposure to modern DevOps, cloud, containerisation, monitoring, data analytics and automation technologies.
Collaboration with network specialists and technical teams while solving operational challenges in a large-scale telecoms environment.
Opportunity to contribute to automation initiatives from identifying the requirement through development, testing, deployment, troubleshooting and optimisation.
Continued technical development through evolving collaboration technologies and operational tooling.
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