• Design and own the architecture and data flow into the data warehouse • Collaborate with product managers, engineers, and stakeholders • Ensure the platform is performant, scalable, secure, readable and easy to use • Support business-wide data needs and use cases • Design, build, and maintain ELT pipelines • Integrate data from internal systems and external partners • Ensure data quality and accuracy, performance and scalability, secure data handling • Deliver reliable, up-to-date datasets • Develop datasets and data products for internal and external customers

Title: Environmental Chemist - Data Validation Location: United States Job Description: About Us We build careers grounded in purpose, responsibility and real-world impact. "For Planet and Progress" is our north star that guides everything we do. We believe environmental responsibility and human progress are interconnected, interwoven and international. Our scientists, engineers, field teams, consultants and professionals collaborate across disciplines and geographies, guiding industries and governments, ensuring that communities and environments thrive. When you join us, you're not just forging a career, you're joining a movement. A movement for better thinking, smarter solutions and lasting impact. Together, we will advance our way of life and protect the integrity of our environment every step of the way. A Day in the Life This Entry-Level Environmental Chemist - Data Validation position is for entry-level, non-laboratory based environmental chemistry work with an emphasis on environmental analytical data validation. This position can be performed either hybrid out of Valley Forge, PA, or remote. The compensation range for this role is $55,000 - $65,000, commensurate with accomplishments, performance, credentials and geography These requirements reflect the knowledge, skills and abilities that help you do your best work here. - Reviewing analytical data generated by environmental laboratories in an organized and efficient manner, consistent with and as prescribed by corporate and US EPA data validation standard operating procedures, quality assurance project plans, and published analytical methods. - Critically evaluating environmental analytical data to assess usability relative to data quality objectives. - Preparing data quality and usability assessment reports, which will undergo peer review by the project manager and/or senior chemistry staff. - Communicating effectively and professionally, both internally and with external clients and client contractors. - Maintaining confidentiality at all times. - Exercising safe work practices by following all Company safety rules and OSHA regulations, including attendance at all required safety training programs. - Participating in the company's continuous improvement programs and provide support to team efforts. - Staying up-to-date and current by completing formal training and reviewing professional publications. - Performing other duties as assigned depending on your skillset and interests. Your Expertise and Skills These requirements reflect the knowledge, skills and abilities that help you do your best work here: - Bachelor's degree in Chemistry, Environmental Science or an allied science from an accredited college or university. - No experience is required, although 1+ years of environmental analytical data validation or laboratory experience is a plus. - Coursework in analytical chemistry, analytical instrumentation, environmental chemistry, or environmental science is preferred. - Strong understanding of analytical chemistry principles and ability to apply to environmental data usability assessment. - Strong written and verbal communication skills. - Strong analytical and critical thinking skills. - Computer literate - capable of performing tasks such as: creating spreadsheets; composing correspondence; and creating reports and documents using Microsoft Office software. - Strong knowledge of Adobe Acrobat - Meticulous attention to detail and ability to focus on individual tasks while collaborating with your peers. - Ability to define problems, collect data, establish facts, and draw valid conclusions. We are an Equal Opportunity Employer. We are committed to providing access and reasonable accommodation in our employment for individuals with disabilities #LI-LK1 #INDMEG

Role Description We are seeking a detail-oriented individual to join our team at D. H. Radomski Inc. In this position, you will be responsible for accurately entering and managing data to support our operational processes. - Inputting data into various databases and systems with precision. - Reviewing and verifying data to ensure accuracy and completeness. - Maintaining and updating records as necessary. - Assisting with data management tasks and reporting as required. - Collaborating with team members to improve data entry processes. Qualifications - Proven experience in a data entry role or similar position. - Excellent typing skills and attention to detail. - Proficiency in Microsoft Office Suite and data management software. - Strong organisational skills and the ability to manage multiple tasks. - Effective communication skills, both written and verbal. Requirements - Experience with data analysis or reporting tools. - Knowledge of database management. - Ability to work independently and in a team environment.

About Us At Verisian, we build deep tech and AI solutions that enable groundbreaking medical therapies to enter the market faster and safely. New medicines and devices are judged using all available evidence in the proper context and backed by automated analyses that validate and make data and results transparent to companies and regulators alike. Regulators will make the right decisions on novel therapies faster and with greater confidence, protecting patients from harm and making breakthrough treatments available as soon as is possible and safe. In times of increasing trial numbers and complexity, we are building technical innovation to remove crucial bottlenecks for pharmaceutical and medical device companies, as well as public health authorities, directly affecting clinical trial planning, analyses, validation, submission, and market approval. By joining us, you will commit yourself to building software and AI tools that directly contribute to increasing the rate at which medical innovation improves human health and wellbeing. Disclaimer: We welcome candidates of diverse experience levels, and meeting every requirement is not mandatory. Research indicates that underrepresented groups tend to apply only if they meet all qualifications. If you're enthusiastic about the role, please apply and let our recruiters evaluate your application. Culture At Verisian, our mission is to build the future infrastructure of medical innovation. To help us succeed, we're creating a unique employee culture. We always put the mission first. We're fanatically customer obsessed, crafting world-class products that customers love with every interaction. We take extreme ownership and accountability of our work, seeing whatever we do through to completion. We communicate candidly and directly with each other, even when it's uncomfortable. We're innately curious, open to alternative perspectives and invest passionately in our own continuous growth. Role Description As a Data Engineer, you will join our world-class engineering team in building the Verisian Platform. You will work on an application that exposes our clinical trial insights to data managers, statistical programmers, statisticians, medical experts/writers, and regulatory authorities.  The Verisian Platform brings value to a set of highly regulated processes crucial for medical progress and innovation. Your work will support the Planner, Builder, Explorer, Validator, Submitter, and related supporting modules. These core modules of the platform target the planning, exploration/onboarding, building, validation, submission, and review of clinical trials and their results. They enable data managers, statistical programmers, statisticians, medical writers, and regulators to deliver their work faster, at higher quality, lower cost, and in greater confidence. Our pipelines analyze clinical trial documentation, code, logs, data, and results to build a knowledge graph through code traceability. We harness the resulting dataset, column-level and logic lineage to turn clinical trials into Information Infrastructure that can be used by experts and consumed by AI to revolutionize how therapies are evaluated and enter the market. We capture complex processes in fully- and semi-automated workflows that place experts in control and AI automation at their fingertips. We build visualizations to provide our customers with a maximum of insight as fast as possible. Our application stack is based on Next.js and deployed via Docker/Kubernetes in the cloud. The data analysis pipelines run in Argo Workflows. We analyze code based on Antlr4 and Java. AI agents are developed in Python. The data analysis engine is developed in Python. Git is where our code lives, and Github Actions is how it gets out into the world. In tandem, you will create data validation rules (custom DSL) and develop our data analysis engine (Python) that is used to automatically detect inconsistencies and analysis errors in data while enforcing regulatory data standard adherence. These crucial pipelines are an integral part of our platform to expose our game-changing functionality to users and consumed by our AI agents to automate the planning, analysis, validation, and submission of clinical trials. You will be expected to lead the analysis, design, building and testing of components of the engine and data validation rules. As part of our core team, you will join us in designing, prioritising, building and testing new functionality, troubleshooting customer issues, finding root causes, and deploying required fixes to ensure maximal user impact and performance.