Bioinformatician II

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.

Position Overview The Bioinformatician II is a mid-level role responsible for supporting clinical reporting through the monitoring and review of variant calls and other pipeline outputs, investigation of quality control issues, and participation in assay validation and regulatory inspections. This role involves conducting case investigations, supporting CAP proficiency testing, and documenting variant-level changes. In addition, the role is responsible for monitoring existing bioinformatic NGS pipelines, data management and delivery to customers. This individual builds on foundational knowledge to handle a broader range of bioinformatics assignments, contributes to tool and pipeline development, and collaborates across teams to meet project objectives. The ideal candidate will have a strong background in managing and working with NGS data, experience working in a regulated environment, and the ability to mentor junior staff. This position is onsite at our Madison location, with a Tuesday to Saturday work schedule . Essential Duties Include, but are not limited to, the following: Implement, test, maintain, and customize available bioinformatics resources and scientific software/data sources in multiple programming languages and platforms for research support. Develop front ends for analysis tools, visualize and compile results, facilitate routine data processing, migration, organization, and management tasks, and build project-specific workflows that implement automated analysis steps. Investigate, customize, and prototype new bioinformatics resources and scientific software for biomedical data processing. This requires skills in multiple programming languages, databases, computational methods, scientific computing, large-scale data analysis, and working with heterogeneous biomedical data from multiple sources. Apply software engineering principles to create reusable, modular, tested, version-controlled, repository-based, professional-quality informatics, software, and database resources. Design, prototype, and evaluate innovative computational algorithms, data analysis techniques, and statistical methods for biomedical data processing, interpretation, and knowledge discovery. Explore and recommend alternative data processing approaches as appropriate. Follow scientific literature and manuscripts, investigate emerging biomedical data processing methods, technologies, trends, and paradigms relevant to biomedical informatics, and contribute to manuscripts, grants, research proposals, and research planning activities. Attend, contribute to, and present at internal and external scientific meetings and conferences. Manage multiple bioinformatics collaborations and projects, while mentoring junior staff. Support strategic planning, organization, management, utilization, and optimization of current and future bioinformatics resources, skills, and capabilities. Collaborate with principal investigators (PIs), researchers, and fellow bioinformaticians to align bioinformatics activities with organizational objectives and maximize competitive advantage in biomedical research. Interact with other research divisions, computing infrastructure teams, and external academic and industry partners. Demonstrate excellent communication skills and a strong desire to collaborate with researchers conducting cutting-edge biomedical research. Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. Support and comply with the company’s Quality Management System policies and procedures. Maintain regular and reliable attendance. Ability to act