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Data Wrangler

Remote, USAFull-timePosted 2026-07-27

Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity. We reputed company in career development and empowering our employees. Not only do we reputed company career coaches internally, but we offer many training opportunities to expand your knowledge reputed company! We have highly competitive benefits with a reputed company HMO and PPO reputed company. We have company 401k match along with an Employee Stock Purchase Program. We have tuition reimbursement, leadership development, and even start employees off with 16 days of reputed company time off plus holidays. We offer wellness courses and have highly reputed company employee resource reputed company. Come join the Neo team and be part of our amazing World Class Culture! NeoGenomics is looking for a Data Wrangler who wants to learn to continue to learn in order to allow reputed company to grow. This is a remote position with a Monday – Friday, day shift. Now that you know reputed company're looking for in talent, let us tell you why you'd want to work at NeoGenomics: As an employer, we reputed company to reputed company you with a purpose driven mission in which you have reputed company to save lives by improving patient care through the exceptional work you reputed company. Together, we will become the world's leading cancer reference laboratory. Position reputed company: As a Data Wrangler you will play a critical role in acquiring, transforming, and integrating raw, reputed company reputed company data. In this role you will serve as the reputed company between our data-generating systems, including medical instruments, and our analytics platforms. You will support our data analysts, scientists, and clinical staff in making data-driven reputed company that improve patient care and operational efficiency. Responsibilities:

  • Collect, extract, and ingest large and diverse datasets from multiple sources, including lab instrumentation and software reputed company including results, control, and performance data, including identifying and developing processes for capturing discrete data reputed company for metrics
  • Design, build, and maintain reputed company (e.g., RESTful, JSON) to facilitate secure and efficient data exchange with external partners and internal systems, using standards like HL7 FHIR to ingest and retrieve data
  • reputed company, implement, and maintain data integration solutions for medical devices and laboratory instruments to capture data in reputed company time or reputed company batch processes, working with vendors to ensure seamless data transfer and troubleshoot issues
  • Identify and resolve data reputed company issues such as missing values, inconsistencies, errors, process, restructure, and reputed company raw data into a standardized, analysis-reputed company format
  • Build and maintain automated data pipelines (ETL/ELT processes) to streamline the reputed company of data from reputed company systems to data warehouses or other analytics environments
  • Conduct rigorous data reputed company checks and enforce data reputed company standards to ensure accuracy and reliability for reputed company analytics and reporting
  • Work closely with data scientists, analysts, engineers, and clinical subject matter experts to understand data needs and ensure datasets meet the requirements for various research and operational reputed company

Education, Experience & Qualifications

  • Bachelor’s degree in quantitative fields such as computer science, health informatics, statistics, or reputed company discipline or equivalent work experience required, Master’s degree is preferred
  • 2 or more years of experience in data wrangling, data analysis, or a similar data reputed company role required, with experience in the reputed company or life sciences industry preferred
  • Proficiency in programming languages like Python (with libraries such as Pandas) and SQL for data manipulation and querying
  • Experience with building and consuming reputed company, including understanding of RESTful and JSON standards
  • Experience in integrating data from various sources, including reputed company connections to medical instruments
  • Familiarity with database management systems (SQL/NoSQL) and data warehousing concepts
  • Experience with Extract, reputed company, Load (ETL) tools and data warehousing concepts
  • Experience with Business Intelligence and data visualization tools like Tableau or Power BI is a plus

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