Data Wrangler

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 believe in career development and empowering our employees. Not only do we provide career coaches internally, but we offer many training opportunities to expand your knowledge base! We have highly competitive benefits with a variety HMO and PPO options. 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 paid time off plus holidays. We offer wellness courses and have highly engaged employee resource groups. 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 our company to grow. This is a remote position with a Monday – Friday, day shift. Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics: As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory. Position Summary: As a Data Wrangler you will play a critical role in acquiring, transforming, and integrating raw, complex healthcare data. In this role you will serve as the bridge 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 decisions that improve patient care and operational efficiency. Responsibilities:

• Collect, extract, and ingest large and diverse datasets from multiple sources, including lab instrumentation and software output including results, control, and performance data, including identifying and developing processes for capturing discrete data elements for metrics
• Design, build, and maintain APIs (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
• Develop, implement, and maintain data integration solutions for medical devices and laboratory instruments to capture data in real time or via batch processes, working with vendors to ensure seamless data transfer and troubleshoot issues
• Identify and resolve data quality issues such as missing values, inconsistencies, errors, process, restructure, and transform raw data into a standardized, analysis-ready format
• Build and maintain automated data pipelines (ETL/ELT processes) to streamline the flow of data from source systems to data warehouses or other analytics environments
• Conduct rigorous data integrity checks and enforce data quality standards to ensure accuracy and reliability for downstream 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 projects

Education, Experience & Qualifications

• Bachelor’s degree in quantitative fields such as computer science, health informatics, statistics, or related 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 focused role required, with experience in the healthcare 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 APIs, including understanding of RESTful and JSON standards
• Experience in integrating data from various sources, including direct connections to medical instruments
• Familiarity with database management systems (SQL/NoSQL) and data warehousing concepts
• Experience with Extract, Transform, 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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