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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lab Data Specialist - **Company:** Fred Inc - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $97,822.0 - $146,682.0 - **Contract:** Permanent contract - **Skills:** Computer Programming, Perl (Programming Language), R (Programming Language), Information Management, Information Sciences, Python (Programming Language), Software Tools, SAS (Software), Software Engineering, SQL Databases, Data Processing, Data Storage Technologies, Build Management, Information Technology, Data Pipelines - **Published:** August 8, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17867428?backUrl=%2Fcareer%2F17867428%2FLab-Data-Specialist-Washington-Seattle ## About the Role * Bachelor's degree in a scientific, technical, or health-related field such as biology, computer science, or information science. * 6 years of work experience in a laboratory, or performing data/information management or analysis, that is complementary to education. * Experience developing data specifications for the purpose of storage and interchange. * Excellent written and verbal communication skills, with the ability to work well in multi-faceted teams., * Graduate degree in a scientific, technical, or health-related field. * Experience and advanced knowledge of clinical and research lab assays, data and processes. * Experience modelling complex, high-dimensional data. * Experience programming in a modern procedural, declarative, or statistical programming language such as SAS, R, Perl, Python, or SQL. ## Description Works as part of a team to help develop laboratory data pipelines: * Interfaces between SCHARP lab data teams, Software Development Engineers, and programmers to define and document requirements for assay data pipeline configurations, system builds and designs. * Collaborates with external laboratories, SCHARP programmers, and statisticians to develop plans for examining data quality; including developing metrics for data quality and QC resolution to inform quality control and assurance decisions. * Consults with SCHARP and partner organization statisticians to determine methods for tracking metadata throughout the lab data QC process. Leads the development and management of laboratory data standards in SCHARP including: * Data models for data storage and inbound and outbound laboratory data pipelines that includes field names, data types, controlled terminology, and other associated metadata required for data processing. * Specification format for documenting data models that will be used by programmers for pipeline implementation and statisticians and analysts for data consumption. * Practices for creating and revising data models and specification documents. * Working with SCHARP CDISC analysts and network partners to implement CDISC standards into laboratory data. As a subject matter expert on laboratory assays and practices, supports other SCHARP staff with relevant technical information via presentations, trainings, or ad-hoc questions. Maintains knowledge of laboratory assays and practices through participation in partner conferences, taking relevant classes and/or training seminars, and reading journals. Provides feedback to SCHARP Senior Management for the development of infrastructure or software tools needed to capture and process laboratory data. Other duties as assigned. ## Related Videos - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Times of (climate) crisis - How and why sustainable software is a must!](https://www.wearedevelopers.com/videos/988-times-of-climate-crisis-how-and-why-sustainable-software-is-a-must) - [ Secure Code Superstars: Empowering Developers and Surpassing Security Challenges Together](https://www.wearedevelopers.com/videos/422-secure-code-superstars-empowering-developers-and-surpassing-security-challenges-together) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Kettle and Pot or Peas in a Pod? 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