Provide specialised technical support for DTM information management and geographic information systems (GIS) activities, including data processing and validation, management of databases and geospatial datasets, spatial analysis, development of dashboards and information products, and technical support to displacement monitoring, EET, rapid assessments, and reporting.
Responsibilities
Provide specialised support for DTM data processing, validation and reporting, utilising relevant statistical software to facilitate timely processing and production of quality data outputs.
Maintain DTM databases, geodatabases, reference datasets and information management systems, including appropriate documentation, version control and data organization, in accordance with applicable data protection and information management standards.
Produce spatial analyses and GIS products using relevant GIS software, and manage and maintain geospatial datasets, including administrative boundaries, settlement layers, infrastructure datasets and other geographic information required for DTM assessments, operations and reporting.
Provide technical support to field teams on digital data collection platforms, GIS-related tools and information management processes to promote consistency and quality in data collection, management and reporting.
Identify areas for improvement in DTM data collection and information management processes and propose technical solutions to improve data quality, efficiency and contextualisation of DTM field activities.
Responsible for leading Continuous Improvement initiatives at the Plant, ensuring safe production of high quality products.
Responsibilities
Directs the Quality Management System at the plant
Assist with Quality and Process Improvement for multi-sites where a Specialties Plant is located
Train and educate the organization and implement continuous improvement methodologies such as 6 Sigma, 5S, Lean, OE and others
Drives Continuous Improvement to quantitatively and qualitatively improve costs, quality and service
Drives plant accountabilities in the areas of tracking vendor performance, resolution and disposition of customer complaints, investigating critical quality defects on in-process and finished products, generation and analysis of quality data and reports
Requirements
College degree in manufacturing, engineering, logistics or equivalent work experience
Responsible for implementing, supporting, and sustaining elements of Smith and Nephew's quality system, ensuring compliance with medical device regulations and standards.
Responsibilities
Generate/approve/manage post market surveillance and risk management activities
Ensure compliance to product specific standards, cGMP, QSR, US FDA, ISO, IEC, UL, EN, MDD, and EU MDR requirements
Provide quality oversight and leadership for quality related issues (e.g. non-conforming material, corrections, deviations, CAPA, etc.)
Investigates, documents and leads corrective/preventive actions
Provide quality support to product support project teams as the quality engineering representative
Quality Engineer responsible for investigation and root cause analysis of product failures and improvement of product quality and reliability performance.
Responsibilities
Coordinate strategies with cross-functional groups to meet customer requirements in all quality areas
Perform failure analysis, root cause analysis, and corrective and preventive actions for customer complaints
Define, design, develop and implement SPC tools for assembly, manufacturing, and test fixtures
Establish, implement, and maintain the quality management system
Interact with Engineering and Operations to ensure appropriate transfer of new products, PPAP
Analyze/solve complex transportation planning or engineering problems
Communicate clearly and concisely, both orally and in writing, including in a community engagement setting
Use software effectively and make timely and informed recommendations
Work on a variety of projects which may include traffic operations simulations, bicycle and pedestrian plans, freight and goods movement planning, traffic impact studies, travel demand modeling, transit planning, and regional transportation plans
Embrace opportunities to learn and adopt new tools, technologies, and ways of working that enhance day-to-day work, while maintaining professional judgment, critical thinking, and accountability for results
Requirements
Bachelor’s or Master’s degree program in transportation or civil engineering, transportation/urban planning, or related fields such as geography, public policy, economics, sociology, statistics, anthropology, graphic design, data science, GIS
Lead evaluation and benchmarking data development for Amazon Quick features.
Compensation
USA, CA, Santa Clara - 183,000.00 - 247,600.00 USD annually
Responsibilities
Design and build evaluation and benchmark datasets
Define quality metrics and evaluation frameworks, including human evaluation, model-based evaluation (LLM-as-a-Judge), and checks on how well the two correlate
Run human annotation programs from start to finish: write guidelines, measure inter-annotator agreement, and control data quality
Analyze model and agent performance to find gaps, root causes, and the highest-impact improvements
Partner with science, engineering, and product teams to turn evaluation results into launch decisions and roadmap priorities
Requirements
Nice to have: data visualization using AWS QuickSight
Lead and manage concurrent survey projects, support business development and provide technical expertise for survey research initiatives.
Locations (2)
Reston, Virginia, United States
United States
Compensation
The pay range for this position based on full-time employment is:
$74,090.00 - $125,954.00
Responsibilities
Manage concurrent survey-related projects, serving as the key point of contact to clients
Prepare project plans, manage schedules, and performance using effective project management processes and frameworks
Create and track project budgets
Keep multiple workstreams moving simultaneously by identifying next steps, assigning and following up on actions, managing dependencies, and escalating issues when needed
Identify and coordinate with internal collaborators and outside subcontractors and vendors
Lead data and analytic projects supporting the Department of Medicine and Research Department, managing data processes, statistical analysis, and reporting.
Compensation
$50.63 - $89.10
Responsibilities
Lead and support data science and analytics projects for the Department of Medicine, Research Department, and related clinical research and quality improvement initiatives.
Collaborate with clinical research, quality improvement, and operational teams to define research questions, develop analytic plans, identify appropriate data sources, and support study design.
Extract, clean, validate, integrate, and analyze large healthcare datasets from Epic, Epic Cosmos, registries, external databases, and other institutional data sources.
Develop cohorts, data definitions, analytic files, and reproducible workflows to support clinical research studies, quality improvement projects, outcomes analysis, and healthcare delivery initiatives.
Perform statistical analysis, predictive modeling, machine learning, and other advanced analytic methods to identify trends, evaluate interventions, and support evidence-based decision-making.
Requirements
Bachelor’s degree in data science or related field
Master’s degree or PhD in Data Science, Biostatistics, Health Informatics, or related field
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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