Bioinformatician II: Tuesday - Saturday

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 115,000 colleagues serve people in more than 160 countries.

About the role

The Bioinformatician II will work on multiple projects analyzing biomedical data by applying existing tools and informatics resources. This role is responsible for maintaining, testing, optimizing, and customizing existing bioinformatic pipelines for NGS data and data tracking/delivery to customers. Additionally, the role involves implementing and testing novel analysis approaches, developing professional-quality reusable software and informatics resources for medium to large-scale bioinformatics projects, and leveraging prior experience to improve existing methods for expedited data analysis and knowledge discovery. 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.

Responsibilities

• Implement, test, maintain, and customize available/known informatics resources and scientific software/data sources in multiple programming languages/platforms for research support.
• Develop front ends for analysis tools, visualize/compile results, facilitate routine data processing/migration/organization/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, requiring skills in multiple programming languages, databases, computational methods, scientific computing, large-scale data analysis, and heterogeneous biomedical data from multiple sources.
• Use software engineering skills to create reusable, modular, tested, version-controlled, and shared repository-oriented professional-quality informatics/software/database resources.
• Design, prototype, and evaluate innovative computational algorithms, data analysis, and statistical methods for biomedical data processing, interpretation, and knowledge mining.
• Suggest and explore alternative/multiple data processing approaches.
• Follow scientific literature/manuscripts, investigate new biomedical data processing methods, trends, technologies, and paradigms relevant to biomedical informatics, and provide feedback toward scientific findings.
• Contribute to manuscripts, grants, research proposals, and research planning.
• Attend, contribute to, and present at internal/external scientific meetings/conferences.
• Manage multiple bioinformatics collaborations/projects and mentor junior staff.
• Engage in strategic planning, organization, management, utilization, and optimization of existing and future bioinformatics resources, skills, and needs.
• Interact with PIs, researchers, and other bioinformaticians to align and guide bioinformatics activities for maximum organizational competitive advantage.
• Collaborate with other research divisions, computing infrastructure staff, and outside academic/industrial partners.
• 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.
• Work designated schedule, including nights and/or weekends as needed.
• Work on a mobile device, tablet, or computer screen and perform typing for approximately 95% of a typical working day.
• Travel up to 5% of working time, which may include overnight/weekend travel.

Requirements

• Bachelor’s or Master’s Degree in Bioinformatics, Computer Science, Bioengineering, Computational Biology, or a related field.
• 2 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 and statistical analysis methods.
• Proficiency in software development in multiple programming languages, such as Python and Java.
• Experience downloading, learning, and applying software and database resources for custom analysis and building workflows.
• Proficiency with Linux/UNIX-based systems and shell scripting.
• Experience analyzing gene expression, genotyping, sequencing, CGH, or other biomedical data, and familiarity with various biomedical databases.
• Proficiency with scientific computing and data visualization tools, such as MATLAB or R, and understanding of basic statistics.
• Experience with software engineering processes, including version control, backup, documentation, testing, and validation.
• Familiarity with large-scale data analysis and high-performance computing systems, including parallel programming.
• Proficiency with NGS workflow processes and languages (e.g., Cromwell/WDL, Snakemake).
• Experience with cloud computing (e.g., DNAnexus).
• Ability to perform essential duties with or without accommodation.
• Authorization to work in the United States without sponsorship.

Preferred Qualifications

• Master’s Degree in Bioinformatics, Computer Science, Bioengineering, Computational Biology, or a related field.
• 2+ years in large-scale NGS operations industry environments.
• Proficiency in Linux-based systems, Python, and AWS.

Pay

The base pay for this position is $68,000.00 – $136,000.00. In specific locations, the pay range may vary from the range posted.

Schedule

This position follows a Tuesday to Saturday work schedule.