Bioinformatician II

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.

The Bioinformatician II will work on multiple projects analyzing biomedical data by applying existing tools and informatics resources. This role will be responsible for maintaining, testing, optimizing, and customizing existing bioinformatic pipelines for NGS data and data tracking/delivery to customers. In addition, the candidate will implement and test novel analysis approaches, develop professional‑quality reusable software/informatics resources for medium to large‑scale bioinformatics projects, and leverage prior experience and domain knowledge to improve existing methods to expedite and facilitate the data analysis and knowledge discovery process.

Previous experience in high‑volume NGS exome and RNA production workflows is a plus. This position is onsite at our Madison or Phoenix location, with a Tuesday to Saturday work schedule.

• Implement, test, maintain, and customize informatics resources, scientific software, and data sources in multiple programming languages and platforms for research support.
• Develop front‑end tools for other analysis tools, visualize and compile results, facilitate routine data processing, migration, organization, and management tasks, and build project‑specific workflows implementing automated analysis steps.
• Investigate, customize, and prototype new bioinformatics resources and scientific software for biomedical data processing. Requires skills in multiple programming languages, databases, computational methods, scientific computing, large‑scale data analysis, and heterogeneous biomedical data from multiple sources.
• Design, prototype, and evaluate innovative computational algorithms, data analysis, and statistical methods for biomedical data processing, interpretation, and knowledge mining.
• Follow scientific literature, investigate new biomedical data processing methods, trends, technologies, and paradigms relevant to biomedical informatics, and provide feedback towards scientific findings. Contribute towards manuscripts, grants, research proposals, and research planning. Attend and present at internal and external scientific meetings and conferences.
• Manage multiple bioinformatics collaborations and projects, mentor junior staff, and strategically plan, organize, manage, and optimize existing and future bioinformatics resources and needs.
• Interact with principal investigators, researchers, and other bioinformaticians to align and guide bioinformatics activities to maximize the organization’s competitive advantage in biomedical research. Interact with other research divisions, computing infrastructure staff, and outside academic or industrial partners.
• Demonstrate excellent communication skills and a strong desire to interact with researchers carrying out cutting‑edge biomedical research.
• Uphold the company’s 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.
• Act with an inclusion mindset and model these behaviors for the organization.
• Work the designated schedule, including nights and/or weekends as needed.
• Work on a mobile device, tablet, or front of a computer screen and perform typing for approximately 95% of a typical working day.
• Travel up to 5% of working time away from the work location, which may include overnight or weekend travel.

• Bachelor’s or Master’s Degree in Bioinformatics, Computer Science, Bioengineering, Computational Biology, or a related field.
• Two years of job‑related experience in an academic or industrial applied research environment in biomedical data analysis.
• Demonstrated ability to understand and implement computational algorithms, statistical analysis…