Abbott

Makes heart devices, glucose sensors and lab tests

Bioinformatician 2

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours

Full-timeMadison, WI, USA$68k - $136k

About the Job

Requirements

A Bachelor's or Master's degree in Bioinformatics, Computer Science, Bioengineering, Computational Biology, or a related field is required.
At least 2 years of job-related experience in an academic or industrial applied research environment in biomedical data analysis is required.
Ability to understand and implement computational algorithms, statistical analysis methods, and custom data analysis software is required.
Proficiency in software development in multiple programming languages, such as Python and Java, and their derivatives is required.
Proficiency in downloading, learning, and applying software and database resources for custom analysis and building workflows is required.
Proficiency with Linux/UNIX-based systems and shell scripting is required.
Ability to analyze gene expression, genotyping, sequencing, CGH, or data in the specific field needed by the duties, and to use various biomedical databases is required.
Proficiency with scientific computing and data visualization tools such as MATLAB and R, and understanding of basic statistics, is required.
Proficiency in software engineering processes, including version control, backup, documentation, testing, and validation, is required.
Familiarity with large-scale data analysis and use of high-performance computing systems and parallel programming is required.
Proficiency with NGS workflow processes and languages such as Cromwell/WDL and Snakemake is required.
Proficiency with cloud computing such as DNAnexus is required.
Authorization to work in the United States without sponsorship is required.
Ability to perform the essential duties with or without accommodation is required.
Ability to work the designated schedule, including nights and/or weekends as needed, is required.
Ability to travel 5% of working time away from the work location, potentially including overnight or weekend travel, is required.
Ability to work on a mobile device, tablet, or computer and/or perform typing for approximately 95% of a typical working day is required.

Responsibilities

Implement, test, maintain, and customize bioinformatics resources and scientific software or data sources across 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; and build project-specific workflows that implement automated analysis steps.
Investigate, customize, and prototype bioinformatics resources and scientific software for biomedical data processing.
Apply software engineering principles to create reusable, modular, tested, version-controlled, repository-based, professional-quality informatics, software, and database resources.
Design, prototype, and evaluate 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, researchers, and fellow bioinformaticians to align bioinformatics activities with organizational objectives and support biomedical research.
Interact with other research divisions, computing infrastructure teams, and external academic and industry partners.
Support and comply with the company's Quality Management System policies and procedures; maintain regular and reliable attendance; and model an inclusion mindset.
Contribute to internal knowledge sharing, standard operating procedure updates, and cross-training.

Desired Qualifications

A Master's degree in Bioinformatics, Computer Science, Bioengineering, Computational Biology, or a related field is preferred.
At least 2 years of experience in large-scale NGS operations in industry environments is preferred.
Proficiency in Linux-based systems, Python, and AWS is preferred.
Experience working in a regulated environment under CLIA/CAP and/or FDA guidelines is preferred.

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, such as Python/Java, and derivatives. Demonstrated proficiency in downloading/learning/applying software and database resources for custom analysis and building workflows.
Demonstrated proficiency with Linux/UNIX based systems and shell scripting. Demonstrated ability in analyzing gene expression, genotyping, sequencing, CGH, or in specific field needed by the duties, and various biomedical databases.
Demonstrated proficiency with scientific computing and data visualization tools, such as MATLAB/R, and understanding of basic statistics. Demonstrated proficiency in software engineering processes, such as version control, backup, documentation, testing, validation.
Demonstrated familiarity with large-scale data analysis and utilization of high-performance computing systems, parallel programming. Demonstrated proficiency with NGS workflow processes and languages (e.g., Cromwell/WDL, Snakemake).
Demonstrated proficiency with cloud computing (e.g. DNAnexus). Demonstrated ability to perform the essential duties of the position 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 related field. 2+ years in large scale NGS operations industry environments. Proficiency in Linux based systems, Python and AWS.
Experience working in a regulated environment under CLIA/CAP and/or FDA guidelines.

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.

JOB FAMILY:

Research and Discovery

DIVISION:

ONCO Cancer Diagnostics

LOCATION:

United States > Madison : 1 Exact Lane

ADDITIONAL LOCATIONS:

WORK SHIFT:

Standard

TRAVEL:

Yes, 5 % of the Time

MEDICAL SURVEILLANCE:

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

About the Company

Abbott

Makes heart devices, glucose sensors and lab tests

Abbott makes medical devices, diagnostic tests, nutrition products and branded generic drugs for hospitals, laboratories, pharmacies and patients. Its best-known product is the FreeStyle Libre, a coin-sized sensor worn on the upper arm that tracks blood sugar around the clock without routine finger pricks. Its other lines run from heart valves, pacemakers and brain stimulators to lab analyzers, rapid tests and mail-in colon cancer screening kits, and Abbott earns money by selling these products to health systems, labs, retailers and consumers. The company was founded in 1888 by Chicago physician Wallace Abbott and is based in Abbott Park, Illinois.

Company size: 10,001+
Company stage: IPO
Headquarters: Abbott Park, IL
Founded: 1888

Recently Posted Jobs

Explore more opportunities at Abbott

See more jobs