About the job Own the reliability of AI compute hardware where lab discovery becomes data centre reality. Graphcore is building the hardware and systems infrastructure needed for the next generation of AI breakthroughs. This role helps prove those platforms work when complexity, scale and pressure increase. You will lead advanced operational, diagnostic and engineering support across lab and data centre environments. Your work will improve hardware bring-up, validation and troubleshooting for AI compute platforms. You will diagnose failures across server blades, racks, power systems, thermal behaviour, network configuration and BIOS/BMC issues. You will turn hard problems into clear root cause analysis, corrective action and better operating practice. This is hands-on engineering with visible impact. You will support new platforms from early bring-up through deployment, helping Graphcore move faster with confidence. The team and culture You will work with Systems Engineering, Hardware Engineering, server engineering, firmware, platform architects and data centre operations. Problems are solved close to the hardware, with clear evidence and direct ownership. The team moves quickly during bring-up and validation cycles. Engineers are expected to act fast, take responsibility and speak up when something needs attention. Decisions are shaped by data, system behaviour and practical engineering judgement. You will guide others, improve documentation and help raise the standard of hardware diagnostics. What we're looking for · Strong knowledge of server hardware architectures and board-level debugging · Experience isolating failures using system logs, telemetry, power data and thermal metrics · Hands-on experience with HPC systems, AI compute platforms or rack-scale infrastructure · Ability to lead structured root cause analysis and propose practical corrective actions · Confidence working across engineering, platform and data centre teams · Clear written and verbal
Jobiba hiring network
Lab Technician Jobs
1,020 active opportunities · Updated for October 2026
Fresh results
15 shown
Explore current lab technician jobs. Use filters to narrow by work mode, employment type, experience and date posted.
About Tr1X Tr1X is a clinical-stage biotechnology company developing engineered Tr1 cell therapies to restore immune balance in autoimmune and inflammatory diseases. Leveraging the unique biology of Tr1 cells, the company is advancing a pipeline of off-the-shelf allogeneic and in vivo CAR-Tr1 therapies designed to deliver targeted immunoregulation and address diseases driven by immune dysfunction, including transplant-related complications. Founded by pioneers in the discovery of Tr1 cells, Tr1X, Inc. is focused on developing durable, potentially curative therapies for conditions with high unmet need. For more information, visit www.tr1x.bio. Position Summary The Principal Scientist, LNP Platform & Process Development (Scientist) is an experienced hands-on, lab-based, individual contributor that leads the design, development, and optimization of lipid nanoparticle (LNP) formulation and process development efforts supporting the Tr1X in vivo CAR-Treg platform. This individual plays a central role in developing and advancing the targeted lipid nanoparticle (tLNP) delivery systems from early research optimization through scalable, IND-enabling development. This is a high-impact, foundational role within the company. The Scientist helps design and implement the LNP backbone of the platform and influence both short-term program execution and long-term manufacturability strategy. The Scientist brings deep hands-on expertise in LNP formulation and process development, strong analytical rigor, and the ability to thrive in a fast-paced startup environment. Key Responsibilities Lead the design, development, and optimization of LNP formulations for mRNA delivery, including targeted LNP systems incorporating conjugated or functionalized lipids. Evaluate lipid composition, formulation parameters, and mixing conditions to optimize particle size, polydispersity, encapsulation efficiency, surface functionalization, stability, release characteristics, and biologica
About the job Keep the critical hardware behind Graphcore’s engineering labs tracked, available and moving when teams need it. As our Asset & Inventory Operations Coordinator, you’ll help keep Bristol’s engineering and R&D infrastructure running smoothly. You’ll take ownership of accurate asset records and reliable inventory operations. You’ll scan and reconcile assets, coordinate ordering and replenishment, and manage RMAs from return through replacement or credit. You’ll receive, label, stage and distribute hardware including servers, accelerators, networking parts, cabling and spares. You’ll track hardware throughout its lifecycle and maintain stock readiness for break-fix needs. You’ll also produce inventory health reports, document practical SOPs and support audit readiness. This is a hands-on role where careful execution directly supports engineering progress. You’ll work across Engineering, Lab Operations, IT and Supply Chain to improve how critical hardware flows. The team and culture Data Center Engineering and Systems Engineering build and operate the AI systems supporting Graphcore’s engineering and customer environments. Work spans servers, racks, networking, storage, system management and data center infrastructure. You’ll work directly with teams that depend on accurate, available hardware. You’ll own day-to-day inventory activity, resolve exceptions quickly and keep records dependable. Decisions are grounded in accurate data, clear processes and operational priorities. You’ll have scope to spot problems, speak up and improve workflows. What we’re looking for Experience in inventory, asset management, lab operations, logistics or hardware operations. Confidence handling hardware, including receiving, labelling, staging and stocking equipment. Experience using inventory, asset, CMDB, ticketing, ERP or warehouse systems. Strong attention to detail when maintaining records across locations or storage areas. Confidence using Excel or
Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role HP IQ’s Device Experiences team is focused on building innovative, user-facing software experiences across Windows client devices and emerging hardware-software platforms. The team works at the intersection of software, hardware, and AI, exploring new ways these technologies can come together to create intuitive and meaningful product experiences, including emerging health-focused initiatives. As an intern, you’ll have the opportunity to contribute to next-generation projects, collaborate across disciplines, and help bring new experiences from early concepts and prototypes to working solutions. What You Might Do Contribute to the foundational building blocks of our frameworks, helping create intuitive, responsive, and enjoyable user experiences. Collaborate closely with designers and engineers to prototype, iterate on, and bring new interactions and product experiences to life. Tackle challenging technical problems, identify tradeoffs and constraints, and communicate issues, needs, and potential solutions clearly across the team. Explore and develop new interaction models by connectin
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Coding Fellows create high-quality technical content used to train and evaluate AI systems. Depending on the project and each Fellow’s strengths, their work may include writing and reviewing code, opening pull requests, creating annotations or documentation, improving others’ work, and coaching peers. We are looking for a leader to directly manage a portfolio of Fellows who may contribute across multiple projects over time. Project delivery teams own day-to-day tasks, priorities, and outcomes; this role owns the people-management layer across projects, including expectations, performance, support, development, administration, and a fair, consolidated view of each Fellow’s contribution. This is a people-first role. You should have enough technical depth to understand and discuss Fellow work, but you will not be the day-to-day technical lead or approver for every project. What you will do Lead and support Coding Fellows Build trusted relationships through regular one-on-ones and ongoing communication. Understand each Fellow’s strengths, goals, challenges, and support needs; set clear expectations; and partner with People Operations and project leaders on onboarding and administrative matters. Own cross-project performance management Set expectations for quality, reliability, collaboration, communication, flexibility, learning, and professional conduct. Gather and synthesize feedback across projects, accounting for assignment complexity, pro
Senior Cath Lab Radiographer – Private Hospital, West London Location: West London Contract: Permanent, Full-Time (37.5 hours/week) Shifts: Monday–Friday (possibility of a 4-day week), plus participation in an on-call rota Salary: Competitive We're recruiting on behalf of a leading private hospital in West London for an experienced Senior Cath Lab Radiographer to join their Angiography team. This is an excellent opportunity to join a major international private hospital offering a wide range of complex procedures, including ablations, coronary angiograms and angioplasties, cardiac device insertion/removal, TAVI, EVAR, and various embolisation and angiogram/angioplasty procedures. Key Responsibilities: Deliver high-standard diagnostic imaging within the Cath Lab Perform IR, cardiac, and neuro procedures as required Maintain high-quality service standards across patient care, technical performance, and reporting Work confidently with the Radiology Management System and PACS Participate in the on-call rota and flexible shift patterns as needed Requirements: BSc or DCR in Radiography (essential) HCPC registration (essential) Evidence of CPD (essential) Post-graduate experience in Angiography (essential) PACS trained (essential) Angiography-specific qualification/certificate (desirable) Benefits include: Payment of professional registration fees Generous holiday allowance, increasing with service Access to a dedicated clinical training facility Private health insurance Enhanced pension and life insurance Season ticket loan / Cycle to Work scheme Discounted gym access Interested candidates should get in touch to find out more or apply.
Natera is seeking a hands-on, highly accountable Senior Manager of Network Operations to be our Austin site lead. This position will lead the day-to-day operations, reliability, and continuous improvement of a global enterprise network supporting critical healthcare and genomic operations. This role is responsible for managing a distributed network operations team, ensuring high availability across LAN, WAN, wireless, firewall, cloud, and on-premise environments. The Senior Manager will partner closely with Infrastructure, Information Security, DevOps, Engineering, and Lab/Business Operations teams to support a secure, scalable, and resilient network environment. The ideal candidate brings strong technical depth, operational discipline, and people leadership experience. This individual will help execute network modernization initiatives, improve observability and incident response, maintain compliance with change management and regulatory controls, and ensure the network team delivers consistent, reliable support to the business. Key Responsibilities Manage the stability, performance, security, and availability of Natera’s global enterprise network, including LAN, WAN, SD-WAN, wireless, firewalls, VPN, cloud, and on-premise environments. Lead a team of network engineers, providing coaching, prioritization, and technical guidance. Execute network operations initiatives aligned with the broader IT infrastructure strategy, including automation, resiliency, lifecycle management, and performance improvements. Serve as an escalation point for high-severity network incidents, coordinating troubleshooting, communication, root cause analysis, and service restoration. Remain hands-on with network design, configuration, troubleshooting, optimization, and implementation activities as needed. Partner with Information Security on firewall policy management, segmentation, remote access, vulnerability remediation, and secure network architecture practices. Support network capacity
Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About the Role As a Software Engineer specializing in Device Security , you will contribute to building secure, privacy-focused technologies for HP IQ's next generation of AI-enabled devices. You’ll work alongside experienced security, firmware, operating system, hardware, and cloud engineers to help protect customer data and strengthen the security of our products. In this role, you’ll develop and implement security features across embedded systems, PCs, and server-class workstations. You’ll gain hands-on experience with areas such as secure boot, cryptography, device identity, secure communication, and data protection while contributing to products throughout the development lifecycle. This is an opportunity for an engineer who has a strong foundation in software development and an interest in device security to deepen their technical expertise while working on complex, real-world security challenges. What You Might Do Develop and implement security features for embedded and connected devices, including secure boot, key management, encryption, device identity, and data protection. Contribute to th
About the role We are building a higher education researcher motion that helps funded labs adopt OpenAI across core research workflows. This role will develop relationships with principal investigators, researchers, research software engineers, research computing teams, and university technology leaders, then translate high-value use cases into sustained Pro, Codex, API, and ChatGPT Edu usage. This is a hybrid business development and program management role. You will identify and qualify priority labs, design phased access and fellows programs, run pilots, remove technical and institutional blockers, and create repeatable paths from individual researchers to lab- and institution-level adoption. Additionally, this role will launch and manage a community of researchers with events, communications and support. In this role, you will: Build a pipeline of funded labs, research centers, and technical champions at priority R1 universities; qualify opportunities based on workflow value, funding path, influence, and expansion potential. Run discovery with researchers and university stakeholders to understand workflows, data and security needs, procurement constraints, and success criteria. Design and operate phased access and fellows programs, including eligibility, selection, offer mechanics, onboarding, office hours, community programming, and pilot goals. Translate research workflows into effective use of Pro, Codex, API, and ChatGPT Edu in partnership with Solutions, Product, and Education account teams. Manage pilots end to end, remove trust, funding, and technical blockers, and drive measurable activation, retention, and expansion. Turn early usage into product feedback, workflow documentation, peer proof, case studies, and repeatable enablement. Build clear handoffs and expansion paths from researcher to lab to institution; track fellow selection, activation, retained usage, workflow proof, conversion, and expansion. You might thrive in this role if you: Relevant exp
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Team Marketing at Snorkel is growing rapidly and anchored by high-ownership operators who lead independently, align cross-functionally, and consistently deliver outsized results. We partner across Sales, Product, Research, and the executive team to translate complex AI and data value into differentiated positioning, integrated programs, and field-ready enablement that accelerates growth. The culture is high standards, high autonomy, and high collaboration. About the Role Reporting to the Sr. Director of Product Marketing, the Product Marketing Manager, Frontier Labs will own the GTM execution for our frontier lab business. You will partner closely with Research, FDE, and frontier-facing sales teams to translate technical work into research-credible positioning, repeatable sales plays, and high-quality GTM programs that resonate with research and procurement leaders inside frontier labs. You will keep the frontier asset library (battlecards, technical one-pagers, decks, benchmark and eval narratives) sharp against a fast-moving market, and bring competitive and customer insight into every motion. This is a hands-on role for a product marketer who wants to operate at the frontier of AI alongside a world-class research and applied team. About You You are a product marketer with 5-8+ years of experience, including 2+ years on AI-native products, and a track record of delivering launches, enablement, and campaigns for technical buyers. You communic
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! The Role We are seeking a highly technical and strategic Senior Product Manager with deep AI/ML expertise to lead development across our agentic data systems, synthetic data systems, evaluations, and data-acceleration initiatives. This role is ideal for someone with a core ML/AI product background, strong familiarity with model development workflows, and demonstrated success delivering product experiences that improve the speed, quality, and scalability of data operations. You will work closely with Research, Engineering, Data Operations, and Design to define product vision, roadmap, and execution plans for intelligent workflow systems that optimize data pipelines, improve task quality, and enable faster and more efficient delivery of AI-ready datasets. This is a highly cross-functional, technically deep IC role with broad surface area and significant impact. You will lead initiatives spanning multiple teams, balancing near-term execution with long-term platform evolution. What You’ll Do Own the product vision, strategy, and roadmap for the task and Expert Contributor Evaluations product supporting internal and external platform users.  
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Snorkel AI is hiring Forward Deployed Researchers (Multiple levels) who will partner with frontier AI labs on their most challenging data problems. This is a high-impact, customer-facing role that combines deep technical and research credibility with the ability to work directly with customer research teams. You'll partner with customer research teams to design complex data and environments that improve frontier model performance, serving as a thought partner throughout the engagement. You'll work at the critical intersection of research, technical strategy, and customer partnership. This includes scoping training data needs, designing RL environments and tasks, developing evaluation frameworks, probing model behavior and failure modes, and translating customer research objectives into actionable technical plans. Forward Deployed Researchers own a technical domain. You are the person who knows where frontier models fail in it, what data moves those numbers, and what we should build next. Main Responsibilities Own a technical domain end to end: the technical bar for what we build in it, and what we build next Partner with frontier AI research labs to design datasets and environments that improve model performance Lead technical conversations with customer researchers to understand model capabilities, failure modes, data requirements, and success criteria Probe model behavior through systematic evaluation to uncover weaknesses and identify
Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role We are seeking a Senior Privacy Engineer to lead the design and implementation of privacy controls across software, cloud, AI, and connected device platforms. The Privacy Engineer will work closely with Design, Product Security, Legal, Compliance, and Product Management teams to ensure personal data is collected, processed, stored, and shared in compliance with applicable privacy regulations, including GDPR, CCPA/CPRA, and other global privacy frameworks. Responsible for establishing and leading privacy engineering practices across the organization, driving privacy-by-design adoption, defining technical privacy strategy, and overseeing privacy risk management for products, services, cloud platforms, AI systems, and connected devices. The ideal candidate combines strong technical expertise with a deep understanding of privacy regulations and privacy engineering practices. What You Might Do Implement Privacy by Design and Privacy by Default principles throughout the software development lifecycle. Conduct privacy impact assessments (PIAs), data protection impact assessments (DPIAs), and
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! The Role As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end. Main Responsibilities Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This will involve designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of Snorkel’s tooling. Develop and implement state of the art AI systems such as retrieval-aug
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Please note: This is a three-month contract position requiring 40 hours per week. Snorkel AI is seeking a detail-oriented Payments Operations Associate to support the compensation lifecycle for a broad and growing network of Expert Contributors who power our LLM data development efforts. You'll be the front line for expert support - investigating and resolving contributor payment issues and discrepancies with clarity, professionalism, and technical rigor. You'll sit at the intersection of data operations, finance, product, and program teams, working within complex pay structures that include quality-based incentives. This is a great opportunity for a detail-driven, technically capable operator with a customer-support mindset to join a fast-moving team at the forefront of AI data development. Main Responsibilities Own the day-to-day queue of payment support tickets, serving as the primary point of contact for expert-facing communications on pay issues, discrepancies, and disputes. Investigate ticket issues by auditing contributor data and complex payment systems with dynamic bonus structures; flagging errors or inconsistencies Resolve contributor’s pay disputes with clear, professional communication, escalating complex or sensitive issues as needed. Build and maintain SQL queries, scripts, automations and payment audit dashboards to speed up ticket investigation and reduce manual, repetitive work. Collaborate with Delivery, Operations, Fin
Get new lab technician jobs by email
Daily job updates · Unsubscribe anytime