Data Quality Assurance Specialist Jobs

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position The Data Governance Associate Director/Director is a critical member of the Quality Governance team, with a primary focus on data governance and AI oversight across Formation Bio's R&D organization. This role serves as Process Owner for R&D Data and Records Integrity and as Business Owner for key quality technology systems (Veeva Quality Docs, DocuSign Part 11), and owns the organization's inventory of R&D data and AI applications, along with their associated risk assessments. Reporting directly to the Head of Quality with no inte

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Are you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI-powered work orchestration platform. You’ll be at the forefront of defining and implementing rigorous quality strategies for our enterprise-grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field. This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs. You will report directly to the director of engineering. 🦸🏻‍♀️ What you'll do Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional prod

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Are you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI-powered work orchestration platform. You’ll be at the forefront of defining and implementing rigorous quality strategies for our enterprise-grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field. This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs. You will report directly to the director of engineering. 🦸🏻‍♀️ What you'll do Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional prod

To lead and manage Quality Assurance activities of the PMR Laboratory by ensuring accurate and timely analysis of raw materials, in-process samples, finished products, and precious metal assays while maintaining compliance with ISO 17025, NABL requirements, IMS standards, safety regulations, data integrity requirements, and business turnaround commitments. The role shall drive laboratory excellence, analytical reliability, operational efficiency, method development, team capability building, and continuous improvement initiatives. Source: Adani Group | Job ID: 54176

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Are you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI-powered work orchestration platform. You’ll be at the forefront of defining and implementing rigorous quality strategies for our enterprise-grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field. This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs. You will report directly to the director of engineering. 🦸🏻‍♀️ What you'll do Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional prod

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Are you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI-powered work orchestration platform. You’ll be at the forefront of defining and implementing rigorous quality strategies for our enterprise-grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field. This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs. You will report directly to the director of engineering. 🦸🏻‍♀️ What you'll do Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional prod

About the team OpenAI is building a new generation of AI-powered consumer devices, creating opportunities to bring increasingly capable AI into people's everyday lives. Our Data Engineering team is responsible for establishing the foundational data infrastructure that supports the development, manufacturing, launch, and ongoing operation of these products. We're building the systems that connect information across the entire device lifecycle, enabling engineering, operations, and Data Science partners to understand product performance, identify problems, and make better decisions. This is an early-stage organization with significant greenfield opportunities. We're looking for engineers who want to shape the technical foundations of a rapidly growing business and establish systems that will scale alongside our products. About the role: As a Data Engineer, you'll design, build, and scale the data infrastructure that powers OpenAI's hardware and consumer devices organization. You'll tackle technically challenging problems involving complex data sources, evolving operational requirements, and systems that need to scale from early development through manufacturing and consumer deployment. Unlike roles focused primarily on supporting individual analytics projects, this position emphasizes building durable, reusable data foundations that enable multiple teams and use cases. You'll have significant ownership over technical decisions, work closely with partners across engineering, manufacturing, operations, and Data Science, and help define how we approach Data Engineering as the organization grows. In this role, you will: Build foundational data infrastructure: Design and implement reliable, scalable data pipelines, platforms, and datasets that support hardware development, manufacturing, customer operations, and device performance. Connect complex data ecosystems: Integrate information across manufacturing systems, factory operations, device telemetry, quality assurance, a

Job Title Quality Engineer 1 Job Description The Process Quality Engineer supports and facilitates high-quality performance, compliance and continuous/process improvement at our Image Guided Therapy Devices (IGTD) Colorado Springs manufacturing site. Your Role: Analyzes defects for determining dispositions/drives management of Non-Conformances (NC) and Quality Notifications (QN) and implements effective Corrective and Preventive Actions (CAPA) actions. Assists in the assessment of impact to Process Failure Mode and Effects Analysis (PFMEA) and controls in relation to design changes and assists in Manufacturing Process Development and Design Transfer activities. Supports operations performance monitoring, risk assessment, reporting, improvement and development, aids with improvement programs in factory, and supports analytical testing and Supplier Quality Engineering (SQE), Supplier Quality Assurance (SQA) and purchasing. Coordinates timely quality engineering and quality assurance tasks, aids in ensuring manufacturing quality systems are maintained, and helps in completion of New Product Introduction (NPI) and product transfers in factory. Identifies transformative process enhancement opportunities, facilitating the execution of advanced improvement initiatives to optimize operational performance and elevate product quality benchmarks significantly. Applies advanced statistical analysis techniques proficiently to interpret complex data trends and resolve medium to high complexity requests efficiently, exercising judgment within defined procedures/practices to determine appropriate action. </sp

Job Title: Back Office Executive Position Overview: We are seeking an organized, detail-oriented Back Office Operations Associate to handle essential administrative and operational tasks. In this role, you will support front-facing teams by managing data, maintaining documentation, processing records, and keeping day-to-day administrative workflows running smoothly. Key Responsibilities: • Data Entry & Management: Accurately enter, update, and maintain records, databases, and customer information in company systems. • Document Processing: Review, categorize, and archive incoming files, contracts, invoices, and reports in accordance with company policy. • Workflow Support: Coordinate with sales, customer support, and finance departments to process requests and resolve internal inquiries. • Reporting: Compile daily, weekly, or monthly routine operational reports using spreadsheets and management tools. • Quality Assurance: Inspect data inputs and documents to identify errors, discrepancies, or missing details before finalizing records. • Inventory & Supplies: Monitor administrative supply levels and submit reorders as needed to support general office operations. Requirements: Education & Experience High school diploma or equivalent (associate or bachelor’s degree preferred); 6 Months 2 Years of Back office. Technical Skills Proficiency in Microsoft Office (Excel, Word, Outlook) and standard database management software. Core Competencies Strong attention to detail, excellent time management, and solid written communication. Work Style Ability to work independently with minimal supervision and handle repetitive tasks efficiently. Preferred Female Candidate Working Conditions • Hours: Standard business hours (Monday Saturday). • Timings: 9:30 AM- 6:30 • Salary: Based on current drawn About INTECH Insurance Surveyors & Loss Assessors Founded in 1994, INTECH is an IRDAI-licensed leader in independent loss assessment, risk inspection, and property valuation across In

Job title: Liquidity reporting Compliance Finance has mobilised a multi-year Integrity of Regulatory Reporting (IRR) programme to ensure that Regulatory Reporting across the Group is fit for purpose; accurate, timely and complete. The IRR programme is responsible for overseeing the design and implementation of a set of standards and control outcomes that will be consistently applied across the end-to-end Regulatory Reporting Process. IRR will drive the interconnectivity across various strategic transformation programs to ensure linkages and dependencies are well understood and aligned to the IRR standards and control outcomes. The Liquidity Product Based Review (LIQ_PBR) workstream is part of the overall data controls framework for Liquidity Regulatory Reporting. Product Based Reviews enable Finance to develop key assurance that the end to end data flow for Business Data Elements (“BDE’s”), from upstream Primary Booking Systems to downstream Reporting data warehouses (including the Liquidity Reporting Finance Data Application / Platform) complies with the applicable group data standards and controls (‘DMOV’ and ‘DUSE’), is complete and valid for the production of key Liquidity reports and metrics and that data quality or completeness issues discovered through the PBR process are appropriately logged, reported, escalated and managed to resolution. The LIQ_PBR Data Analyst contributes to Global Finance, supporting data flow discovery and documentation, from upstream primary trading and booking systems (PTS) to downstream Liquidity reporting platforms. The role holder will support the Liquidity PBR workstream to undertake quantitative and qualitative data documentation, test case formulation, data test execution and results tabulation, in order to provide the necessary assurance for management with regards to the traceability, lineage, transformation and controls on Liquidity business data elements from source systems to reporting. In this regards, the LIQ PBR d

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position As Associate Director of RWD Intelligence at Formation Bio, you will lead the strategy and execution of our real-world data (RWD) capabilities, building the data foundations that power drug acquisition, clinical development, and portfolio decision-making. You will own the end-to-end lifecycle of RWD: sourcing, procurement, ingestion, harmonization, quality assurance, and delivery of analysis-ready datasets to downstream consumers across Product, Data Science, Clinical Development, and Business Development. This role sits at the intersection

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we’re hiring We’re growing the data engineering capability behind ad-tech solutions that process large-scale, real-time audience data. In this role, you’ll take deep technical ownership of the data model that supports targeting and measurement decisions for advertisers at scale. You’ll help evolve a complex, interconnected data platform while working with modern distributed processing technologies and a highly collaborative engineering team. Who you’ll be working with You’ll work closely with data engineers and colleagues across Quality Assurance, Analytics and connector teams. We value teamwork over ego, collaboration over competition, open and honest communication, strong opinions held with curiosity, and continuous improvement through kaizen. Our technology environment Scala-based backend services Google Cloud Platform (GCP) Apache Spark for large-scale distributed data processing Parquet and BigQuery Tyda, an open-source, automation-driven software development lifecycle process What you’ll do Own and evolve a core data model spanning input and output models, field types and partitioning strate

About the Team The IT and Security organization builds the systems, data foundations, and automation that help OpenAI operate securely and reliably at scale. We support critical domains across identity, access, infrastructure security, enterprise systems, and internal productivity. As OpenAI grows, audit readiness and control assurance increasingly depend on reliable data: accurate system inventories, access populations, change records, configuration state, exception signals, and evidence generated directly from source systems. Our goal is to move beyond manual evidence collection and build scalable data products, automated validation, and continuous control monitoring that make security and IT controls measurable, repeatable, and defensible. About the Role We are looking for an IT Controls Data Engineer to build the data infrastructure that powers audit readiness, IT controls, evidence automation, and continuous control monitoring. In this role, you will design and maintain the pipelines, datasets, models, validation logic, dashboards, and evidence exports that make IT controls measurable, repeatable, and defensible. You will work across Security, IT, Infrastructure, Engineering, Finance Risk Management, and auditors to turn complex system behavior into reliable control data products. This is a technical builder role. The ideal candidate is strong in data engineering and analytics engineering, comfortable working with enterprise and security system data, and able to explain data lineage, source-system behavior, and control logic clearly to technical and audit stakeholders. You’ll be responsible for Building reliable data pipelines, models, and datasets for IT controls, including access, identity, configuration, change, ticketing, exception, and evidence data. Creating data quality, lineage, reconciliation, and completeness checks that make control data defensible for SOX and other audit use cases. Designing automated evidence generation workflows that produce compl

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. OVERVIEW The Senior Software Developer will work closely with Product Manager, Implementation Consultants (ICs) and clients to gather requirements to meet the data analysis need of a company or a client. They must have good collaboration skills. The Senior Software Developer will provide direction on analytics aspects to the team on various analytics related activities. KEY TASKS & RESPONSIBILITIES Experienced in Qlik Sense Architecture design and good knowledge on load script implementation and best practices. Hands on experience in Qlik Sense development, dashboarding, data-modelling and reporting techniques. Experienced in data integration through extracting, transforming, and loading (ETL) data from various sources. Good at Data transformation, the creation of QVD files and set analysis. Data Modelling using Dimensional Modelling, Star schema and Snowflake schema. Strong SQL skills (SQL Server) to validate the Qlik sense dashboards and to work on internal applications. Knowledge on deploying of Qlik Sense application using Qlik Management Console (QMC) is a plus. Work with Implementation consultants (ICs), product manager and clients to gather the requirements. Configuration, migration, and support of Qlik Sense applications. Thoughtful implementation of Qlik Sense best practices for efficiency and re-usability. Research and utilize new technologies. Collaborate with the Software Quality Assurance (SQA) team to test the applications functionality. Ensure compliance with eClinical Solutions/industry quality standards,

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: As a Senior Data Analyst at Choreograph, you will play a critical role in delivering commercial products and services in the Activate space, enabling cross-functional teams to execute against strategic plans and roadmaps. The ideal candidate will possess a strong understanding of data transformation, quality assurance and process automation preferably within AdTech and experience of delivering platforms, products, and services across large global enterprises. Using this experience, you will work closely with What you'll need: Excellent analytical and data wrangling skills, in particular experience in manipulating and analysing data Technical background, experience with data engineering practices, database structures and schemas, SQL, Python and R Scripting. Must have the ability to use SQL for intermediate to advanced data analysis At least 2 years big data experience. Ability to work in multiple AdTech technologies required At least one year of experience and understanding of the architecture of Google Cloud Platform, Microsoft Azure or Amazon Web Services preferred Famili