Sr. Bioinformatics Scientist, MRD

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. JOB DESCRIPTION: Position Overview The Senior Bioinformatics Scientist will serve as a technical lead and subject matter expert within the Minimal Residual Disease (MRD) program, working collaboratively with senior scientists and leaders on complex Research and Development projects. In this role, you will participate in or lead the planning of projects and analyses, and often act as the bioinformatics lead responsible for successful project execution. You will independently determine methods and procedures for new assignments, make detailed observations, analyze data, interpret results, and provide insights that shape the next steps and direction of the project. Your work will center on developing novel methods to identify and integrate genomic and epigenetic biomarkers that improve the sensitivity and specificity of MRD assays, contributing end-to-end across the data science workflow: collecting public datasets, curating internal data, forming hypotheses, building and validating models, and exploring machine learning and AI-based approaches. You will also research new technologies, contribute ideas and concepts to improve or develop processes, and help establish methods and workflows that advance product development toward diagnostic assay products.   Essential Duties Include, but are not limited to, the following: • Technical leadership: Serve as bioinformatics lead and subject matter expert on one or more complex R&D projects, including those supporting diagnostic assay product development, and lead or participate in project and analysis planning. • Analysis and interpretation: Independently analyze experimental data across several product or technology areas, interpret results, identify trends, problems, and discrepancies, and recommend next steps and project direction. • Complex problem solving: Tackle problems of extremely complex scope where intangible variables must be evaluated, applying independent judgment to define methods, techniques, and evaluation criteria. • Method and study design: Independently develop methods, procedures, and development plans for new studies, and give technical input on project planning and experimental design. • Data and computational management: Manage bench-generated data and bioinformatics outputs in HPC or cloud computing environments, selecting and applying the right methods and technologies. • Data quality: Evaluate the impact of nonconforming data on products or processes and address trends in study data. • Innovation and IP: Track industry and technology developments, propose new techniques, lead process improvements, and contribute to the intellectual property portfolio. • Communication and presentation: Present and defend scientific findings at data, group, project, and departmental meetings, and communicate clearly with stakeholders at all levels, including functional managers and the clinical lab. • Documentation and compliance: Prepare and approve technical procedures, protocols, and reports, support abstracts, conferences, and publications, and follow legal, ISO, QSR, and Quality Management System requirements. • Mentorship and collaboration: Train and mentor research associates and junior scientists, foster a trusting, collaborative team environment, and manage multiple projects with shifting priorities. • Maintain regular and reliable attendance. • Ability to act with an inclusion mindset and model these behaviors for the