Bioinformatician II

Abbott (abbottcareers2 board); Madison (WI); On-site; USD 90,000 - 130,000; Full time

Job summary

Abbott in Madison is seeking a Bioinformatician II to support clinical reporting by monitoring variant calls, QC, and regulatory inspections. You will help manage NGS data, build pipelines, and mentor junior staff while collaborating with cross-functional teams.

This on-site role requires strong coding skills across languages, data visualization, and a proactive approach to optimizing workflows in a regulated environment.

Qualifications

• 2 years of experience in biomedical data analysis.
• Experience implementing computational algorithms.
• Proficiency in multiple programming languages.

Responsibilities

• Support clinical reporting by monitoring variant calls and QC.
• Develop front ends for analysis tools and pipelines.
• Prototype and evaluate new bioinformatics resources.
• Collaborate across teams and mentor junior staff.
• Contribute to data management and regulatory readiness.

Skills

Bioinformatics

NGS data management

Regulatory environment

Mentoring

Collaborative work

Education

Bachelor's or Master's in Bioinformatics/CS

Tools

Python

R

SQL

Linux

NGS pipelines

Job description

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 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 with an inclusion mindset and model these behaviors for the organization. Ability to work designated schedule. Ability to work nights and/or weekends, as needed. Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 95% of a typical working day. Ability to travel 5% of working time away from work location, may include overnight/weekend travel.
• Contributes to internal knowledge sharing, standard operating procedure (SOP) updates, and cross-training.

Minimum Qualifications

Bachelor's Degree/Master's Degree in Bioinformatics/Computer Science/Bioengineering/Computational Biology or related field. 2 years of job related experience in academic/industrial applied research environment in biomedical data analysis.

Demonstrated ability to understand and implement computational algorithms, statistical analysis methods, custom data analysis software. Demonstrated proficiency in software development in multiple programming languages, ...