POSITION SUMMARY: Assists in analyzing specimens and maintains equipment in good operating condition. PRIMARY RESPONSIBILITIES: • Assist in testing of patient samples according to standard operating procedure. •Meet expected performance metrics within role as applicable. • Responsible for maintaining updated understanding and knowledge of methods performed in the lab • Provide guidance for new team members. • Follows GLP (good laboratory practice): maintain clean and organized workspace • Completes training and other deadlines on time. • Recognizes, escalates, and troubleshoot equipment malfunctions and common processing errors according to the laboratory’s standard operating procedures • Recognizes, documents, and escalates protocol deviations in lab to lead/supervisor • Communicates with team and other departments on various platforms (including via e-mail) • Provides feedback on day-to-day schedule and tasks to lead/supervisor • Assists teammates in completing daily tasks • Maintains equipment and instruments in good operating condition (such as calibration and expiration date) • Maintain sufficient inventory of material, supplies and equipment in the laboratory for performance of duties. • Participate in Continuous Improvement Projects (TAG, 5S) • Conducts himself/herself in a professional manner • Adheres to Departmental Expectations • This role works with PHI on a regular basis both in paper and electronic form and have access to various technologies to access PHI (paper and electronic) in order to perform the job • Employee must complete training relating to HIPAA/PHI privacy, General Policies and Procedure Compliance training and security training as soon as possible but not later than the first 30 days of hire. • Must maintain a current status on Natera training requirements. • Employee must pass post-offer criminal background check. • Performs other duties as assigned. QUALIFICATIONS: • BS/BA in a biological science or a related field • 0-2 y
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Field Sales Performance Manager Southeast Region in United States
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Mechanical and Thermal Laboratory Technician Position Summary Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data center hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. Responsibilities The Mechanical and Thermal Laboratory Technician is a hands-on technical role supporting the development and validation of advanced AI hardware systems for data center environments. Working as part of a cross-functional engineering team, this individual will be responsible for executing mechanical and thermal laboratory testing, supporting product validation activities, prototype fabrication and assisting with troubleshooting and root-cause analysis of complex hardware systems. Requirements Associate degree in Mechanical Engineering Technology or a related technical field preferred. Equivalent combinations of education, training, and relevant experience will be considered, including experienced non-degreed candidates or candidates with degrees in unrelated disciplines. Minimum of 5 years of experience working in mechanical laboratories, machine shops, test labs, or similar technical environments. Experience with server hardware platforms and data center equipment. Knowledge of Direct Liquid Cooling (DLC) systems and their implementation in server environments. Experience operating forklifts, pallet jacks, and other material-handling equipment. Key Responsibilities Execute mechanical and thermal test plans to validate hardware designs a
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This internship will take place from January 25 - April 16 and you will need to be able to work out of our SF office during this time. What You'll Achieve: Conduct data analyses to gain insights about Notion and use these insights to uncover opportunities for improvements in our product and business. Communicate these insights with actionable recommendations to cross-functional teams (insights are useful, impact is even better!). Work with cross-functional partners across the product and business to learn about their functions and use data to advance their respective areas. Create metrics and build dashboards to monitor the growth and health of Notion. Communicate insights and recommendations effectively to leadership and have an impact on strategic decision-making. Qualifications: Pursuing a bachelor's or master's in a quantitative field such as Economics, Statistics, Applied Math, Engineering, Computer Science, or Natural Sciences. Must graduate before December 2027. This internship will take place from January 25 - April 16 and you will need to be able to work out of our SF office during this time. Previous research or internship
Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Software Engineer to join our Data Acquisition team. Responsibilities: Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. Work closely with the legal team to handle any compliance or data privacy-related matters. Develop and deploy highly scalable distributed systems capable of handling petabytes of data. Architect and implement algorithms for data indexing and search capabilities. Build and maintain backend services for data storage, including work with key-value databases and synchronization. Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. Conduct and analyze experiments on data to provide insights into system performance. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in software development. Experience with large web crawlers a plus Strong expertise in large stateful distributed systems and data processing. Proficiency in Kubernetes, and Infrastructure-as-Code concepts. Willingness and enthusiasm for trying new approaches and technologies. Ability to handle multiple tasks and adapt to changing priorities. Strong communication skills, both written and verbal. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an
Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. Responsibilities: Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. Design and implement APIs to facilitate data interactions between internal services and external data sources. Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. Optimize backend services for performance, scalability, and security in a distributed computing environment. Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in full-stack development. Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). Experience building data-intensive applications that handle large-scale datasets. Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). Prior experience with web crawling and large-scale data processing is a
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. In this part-time position, you will work 20 hours per week, to including every other weekend. You will participate in a holiday rotation. Availability to work East Coast hours is required. Position Summary The MinuteClinic Support Coordinator is responsible for managing nationwide callouts, processing Workbrain payroll corrections for the fleet, and performing various administrative tasks. This role requires timely handling of callouts and an understanding of the dynamic work environment and unique staffing needs of retail health clinics. The Support Coordinator will collaborate with their direct supervisor, regional coordinators, and field leaders to review and analyze Workbrain payroll corrections related to staffing and scheduling. This position requires weekend coverage and scheduling flexibility to work part-time (20 hours per week) across 4–5 days, with shifts varying between 6:00 AM and 9:00 PM Eastern Time. Required Qualifications Minimum of 1 year of experience in workforce scheduling or a related field. High School diploma or GED equivalent. Preferred Qualifications Knowledge of workforce scheduling practices. Strong attention to detail and ability to meet deadlines. Critical thinking and problem-solving skills. Excellent custom
Work Flexibility: Hybrid or Onsite Join Stryker’s Global Robotics Customer Care team and support the engineering processes that help maintain and improve service operations for the Mako robotic system and related technologies. This role offers the opportunity to contribute to process development, product lifecycle activities, and continuous improvement initiatives within a regulated medical technology environment. The Process Engineer will support repair, upgrade, and service processes while collaborating across functions to ensure quality, compliance, and operational efficiency. What You Will Do Support new product and process introductions by executing engineering activities and maintaining required documentation in accordance with established development procedures. Lead process and procedure updates related to product launches, product integrations, process improvements, and audit readiness activities. Identify and implement continuous improvement initiatives that enhance service operations, process efficiency, quality, and customer experience metrics. Conduct process investigations, experimental testing, equipment analysis, and validation activities to support repair and upgrade operations. Train service personnel on new processes and procedures while ensuring compliance with quality, safety, and regulated industry requirements. What You Will Need Required: Bachelor’s degree in Engineering or a related technical field. Minimum 0 years of relevant engineering experience. Ability to read and interpret engineering drawings. Working knowledge of geometrical dimensioning and tolerancing (GD&T). Preferred: Minimum 1 year of experience in process engineering, manufacturing engineering, service engineering, or a related field.</
At NVIDIA, we are at the forefront of technological innovation, pushing the boundaries of AI and accelerated computing. Our team in Santa Clara, CA is looking for a Senior Software Engineer in Test to join us in this exciting journey. This is a ground breaking opportunity to work with powerful technology, collaborate with a world-class team, and make a significant impact in the industry. If you are passionate about AI and quality assurance, and thrive in a dynamic environment, this role is perfect for you! What you'll be doing: Accomplishing test cases to validate NVIDIA enterprise offerings, such as NIM, NeMo, and BioNeMo. Crafting, implementing, and maintaining automated test cases and supporting automation infrastructure. Collaborating with development teams to triage issues, perform root cause analysis, verify fixes, define additional tests, and improve test plans. Investigating and bringing to bear AI capabilities to accelerate the Quality Assurance (QA) process. What we need to see: MS or PhD degree in computer science or relevant field, or equivalent experience. At least 5+ years of professional experience in software testing. Proficiency in oral and written English. Comfort working with Linux OS. Strong skills in shell and Python programming. Strong knowledge of QA principles and background in software testing. Experience using AI development tools for crafting test plans, developing test cases, and automating test cases. Excellent problem-solving abilities. Strong interpersonal skills, quick learning ability, proactive approach, innovation, and dedication. Self-motivation and a passion for learning new hardcore technology. Knowledge in LLM and AI models is a plus. <
The Regulatory Risk Officer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. There are typically multiple people within the business that provide the same level of subject matter expertise. Responsible for driving customer remediation analytics to completion including execution and validation. This position will be part of the USCC Centralized Customer Remediation Team (CCRT). The objective of the USCC CCRT is to quickly assess and identify customer impacts and ensure remediation is completed promptly with the appropriate detailed documentation required by Internal Audit and the Regulators. These activities will be conducted in close partnership with the Issue Owners and Managers within U.S. Consumer Cards. Excellent communication skills are required to negotiate internally, often at a senior level. Highly developed communication and diplomacy skills are required, to guide, influence, and convince others, in particular colleagues in other areas and occasional external customers. This role is for an individual contributor. Responsibilities: Subject matter expert related to data analytics and remediation methodology. May train, mentor, and coach lower-level staff. Owns, designs, and manages client remediation population and impact analyses for USCC owned and impacted issues, including those that are Regulatory. Provide expertise and guidance related to the USCC remediation processes and policies, partners with other department leaders to define, prioritize, and execute remediation programs. Create comprehensive documentation that conforms to Internal Audit and Regulatory expectations. Provide thought leadership and effective challenge throughout the data remediation lifecycle (including root
The Regulatory Risk Officer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. There are typically multiple people within the business that provide the same level of subject matter expertise. Responsible for driving customer remediation analytics to completion including execution and validation. This position will be part of the USCC Centralized Customer Remediation Team (CCRT). The objective of the USCC CCRT is to quickly assess and identify customer impacts and ensure remediation is completed promptly with the appropriate detailed documentation required by Internal Audit and the Regulators. These activities will be conducted in close partnership with the Issue Owners and Managers within U.S. Consumer Cards. Excellent communication skills are required to negotiate internally, often at a senior level. Highly developed communication and diplomacy skills are required, to guide, influence, and convince others, in particular colleagues in other areas and occasional external customers. This role is for an individual contributor. Responsibilities: Subject matter expert related to data analytics and remediation methodology. May train, mentor, and coach lower-level staff. Owns, designs, and manages client remediation population and impact analyses for USCC owned and impacted issues, including those that are Regulatory. Provide expertise and guidance related to the USCC remediation processes and policies, partners with other department leaders to define, prioritize, and execute remediation programs. Create comprehensive documentation that conforms to Internal Audit and Regulatory expectations. Provide thought leadership and effective challenge throughout the data remediation lifecycle (including root
The Opportunity The world of design is changing rapidly, and the Pro Design team is leading that transformation. We are the Adobe organization behind Illustrator, InDesign, and emerging experiences that connect creativity, collaboration, and AI. Our teams are reimagining what professional design looks like for the next decade - building intelligent, connected tools that empower creators and teams to move faster without sacrificing craft. We are looking for a Senior Business Data Scientist who is creative, analytical, and unafraid to question the status quo and shape the decisions that move key business metrics at scale. Join us and build Adobe’s future products! What you'll Do Map the user funnel and build the metrics, cohorts, and dashboards that Product and Growth rely on to see how users move across free, trial, and paid tiers—and pinpoint where they drop off. Dig into the hard questions (what drives activation, which behaviors predict retention and expansion) and build propensity models for conversion, upgrade, churn, and expansion that feed real-time targeting and in-product nudges. Find and size growth bets and work with Product to ship them. Set north-star, driver, and guardrail metrics with your partners, and stand up multivariate experiments across onboarding, paywalls, in-product prompts, and pricing. What you need to succeed Minimum Requirements: Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, or similar) or equivalent practical experience. 5+ years of experience in data science, product analytics, or a similar quantitative role. Proficiency in SQL and Python (or R) for data manipulation, analysis, and modeling. Hands-on experience designing and analyzing A/B tests and interpre
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Help power the development of Replit Agent as an engineer in the Replit Cloud organization. The Replit Cloud team builds Replit’s first party cloud infrastructure so users can build, scale, and succeed entirely on Replit. They manage databases, application storage, app publishing and hosting, development/production environment splitting, custom domains, and more. By having a set of first party services that integrate seamlessly, you will power one of Replit’s key product differentiators. You will: Work closely with designers and product managers, to quickly iterate on Replit Cloud to continually grow and improve the product. Drive full-stack feature development from conception to deployment, taking ownership of key product initiatives. Contribute to architectural decisions that shape the future of our product. Ship product and build infrastructure as a true full stack builder using: TypeScript, React, CSS, Postgres, Go, and Terraform. Examples of what you could do: Leverage our unique cloud infrastructure to build differentiated full product experiences, helping non-technical or semi-technical users remove roadblocks to success. Leverage AI agents to proactively optimize or suggest app improvements on latency, reliability, SEO, and more. Be part of engineering leadership, steering teams towards the highest impact work and supporting initiatives across the company. Required skills and experience: Bachelor’s degree in Computer Science or related field, OR equivalent real-world experience in engineering roles. Comfortable building with our tech stack: TypeScript, React, Go Preferred Qualifications Experience building user facing platform as a service products. Experience with AI/agentic systems. Previous e
About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Senior Mechanical Engineer to lead the design, integration, and sustaining engineering of mechanical subsystems in robotic platforms. You will work closely with experienced engineers and cross-functional partners to set functional requirements, develop and iterate on hardware to meet program expectations. This role is aimed at candidates with strong fundamentals in mechanical system design — including tolerance, alignment, load paths, wear, and failure modes — and robotics. You will contribute to real hardware programs moving from prototype through early production. You will lead both new subsystem development and ongoing improvements to existing systems based on testing, field performance, and manufacturing feedback. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will Lead the design and iteration of mechanical subsystems, including structures, mechanisms, and actuators. Create and maintain CAD models, assemblies, and drawings with appropriate tolerancing and documentation. Build and test prototypes, supporting debugging of mechanical issues such as fit, alignment, friction, and wear. Assist in developing test methods and executing validation to evaluate performance, durability, and failure modes. Work with cross-functional teams to integrate mechanical components with sensors, actuators, and control systems. Support transition of designs from prototype to manufacturable assemblies, incorporating DFM and DFA considerations. Collaborate with manufacturing partners
About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Engineer to design and prototype novel tactile, proprioceptive and force sensor solutions. You will work closely with experienced engineers and cross-functional partners to set functional requirements, develop and iterate on hardware to meet program expectations. This role is aimed at candidates with strong fundamentals in mechanical system design and robotic sensing including tactile sensors, force sensing and position sensing. You will contribute to real hardware programs moving from prototype through early production. You will lead both new sensor subsystem development and ongoing improvements to existing systems based on testing, field performance, and manufacturing feedback. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will Lead the design and iteration of mechanical subsystems, including tactile sensors, load cells, force torque sensors and joint encoders. Create and maintain CAD models, assemblies, and drawings with appropriate tolerancing and documentation. Build and test prototypes, supporting debugging of mechanical issues such as fit, alignment, friction, and wear. Assist in developing test methods and executing validation to evaluate performance, durability, calibration and failure modes. Work with cross-functional teams to integrate mechanical components with sensors, actuators, and control systems. Support transition of designs from prototype to manufacturable assemblies, incorporating DFM and DFA considerations. Collaborate with manufact
Citi Commercial Bank - Mid-Corp Relationship Manager, Healthcare, Higher Ed & Nonprofit - Senior Vice President
CitiThe Mid-Corp Relationship Manager is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Typically a small number of people within the business that provide the same level of expertise. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Accountable for significant direct business results or authoritative advice regarding the operations of the business. Necessitates a degree of responsibility over technical strategy. Primarily affects a sub-function. Responsible for handling staff management issues, including resource management and allocation of work within the team/project. Responsibilities: Calls on clients to deepen relationships and proactively owns, responds to, uncovers and anticipates future needs, roadblocks or risks and expectations Introduces solutions to clients in building and strengthening an effective portfolio; Works with product specialists and subject matter experts to structure innovative and customized solutions that meet clients’ individual needs Works closely with Case Manager on the on-boarding and retention of clients, ensuring the appropriate “Know Your Client” (KYC) and other compliance deliverables are met; Identifies cross-sell opportunities to deepen and increase share of wallet; Maximizes client experience by proactive sharing markets updates, trend and intelligence Drives innovation in the solutions we provide clients and further developing our business where necessary and appropriate Execution of strategic initiatives launched centrally at all levels (Group, Bank, commercial market and EIB) Networks with clients to identify
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