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Biorepository Informatics Manager

Job in Madison, Dane County, Wisconsin, 53774, USA
Listing for: Exact Sciences Corporation
Full Time position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 101000 - 172000 USD Yearly USD 101000.00 172000.00 YEAR
Job Description & How to Apply Below
## Biorepository Informatics Manager Apply locations:
US - WI - Madison time type:
Full time posted on:
Posted Yesterday job requisition :
R26-13685
** Help us change lives
** At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.
** Position Overview
** The Exact Sciences Biorepository team enables the execution of clinical trials and research initiatives by delivering high-quality services across the sample management lifecycle. The Sr Biorepository Informatics Manager plays a key role in enabling efficient Biorepository operations and service request fulfillment by overseeing the design, development, and maintenance of data infrastructure systems for collection, integration, reporting, and analysis. The Sr Biorepository Informatics Manager also ensures strategies, tools, and related procedures align to enterprise data standards and initiatives.

This position requires strong attention to detail and collaboration skills, and technical expertise including, but not limited to, data architecture design, programming, interoperability, quality assurance, and innovation.
** Essential Duties
** Include, but are not limited to, the following:
* Build strong relationships with cross-functional stakeholders and strive to establish Biorepository as a critical business partner.
* Educate stakeholders on Biorepository capabilities, operating norms, and opportunities.
* Engage with Exact Sciences’ cross-functional teams, such as Research and Development, Clinical Affairs, Laboratory, IT, and Enterprise Data, to ensure projects and activities remain complimentary and strategically aligned.
* Design, develop, test, and maintain data infrastructure systems to support efficient collection, storage, management, retrieval, analysis, and reporting of Biorepository-related data.
* Execute system development lifecycle procedures, including requirements gathering, risk assessment, and programming validation. Document necessary cross-functional approvals for specification documentation.
* Integrate data (i.e. clinical demographics, sample processing, sample storage, use parameters / approvals, test results) across multiple sources on a unified platform while adhering to regulatory and security requirements.
* Harmonize data to industry standards to facilitate interoperability with other systems.
* Develop scalable, automated ETL pipelines to streamline the collection / extraction, transformation, and compilation of data while minimizing manual effort and error.
* Develop and implement robust data validation checks to systematically detect data discrepancies and gaps; perform root cause analysis and implement corrective actions.
* Ensure data infrastructure can scale and handle increasing load as Biorepository collections expand.
* Monitor system latency and processing speeds; partner with appropriate teams to identify and resolve performance issues quickly.
* Serve as a main point of contact for Biorepository data-related services and matters.
* Pull, compile, analyze and visualize large datasets for reporting to customers, internal stakeholders, and project teams.
* Enable the development of automated and/or self-service data reporting tools to improve access to and understanding of Biorepository data among stakeholders.
* Develop and maintain KPIs; leverage measurements alongside partner feedback to refine and improve service models.
* Provide data-based insights to program leadership as necessary to support strategy and decision-making.
* Keep current with cutting-edge techniques in programming, machine learning, big data, and modeling and seek ways to advance Biorepository data-related capabilities.
* Explore and incorporate AI-driven data solutions to innovate Biorepository operations.
* Evaluate, propose solutions to, and act upon process improvement opportunities that address inefficiencies and drive operational excellence.
* Lead and/or support…
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