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 115000 colleagues serve people in more than 160 countries.

Position Overview
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/customizing existing bioinformatic pipelines for NGS data and data tracking/delivery to addition implementing and testing novel analysis approaches developing 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.

Essential Duties
Include but are not limited to the following:

Implement test maintain customize available/known informatics resources and scientific software/data sources in multiple programming languages/platforms for research support. Develop front ends for other analysis tools visualize/compile results facilitate generally defined routine data processing/migration/organization/management tasks and build project specific workflows implementing automated analysis steps.

Investigate customize prototype for 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. Use of software engineering skills towards creating reusable modular tested version-controlled shared repository oriented professional quality informatics/software/database resources.

Design prototype evaluate innovative computational algorithms data analysis and statistical methods for biomedical data processing interpretation and knowledge mining of data computational algorithms databases scientific computing large scale data analysis. Suggest/explore alternative/multiple data processing approaches.

Follow scientific literature/manuscripts investigate new biomedical data processing methods trends technologies and paradigms relevant to biomedical informatics provide feedback towards scientific findings and contribute towards manuscripts/grants/research proposals and research planning. Attend/contribute to/present at internal/external scientific meetings/conferences.

Manage multiple bioinformatics collaborations/projects mentor junior staff. Strategic planning organization management utilization optimization of existing and future bioinformatics resources skills and needs. Interact with PIs researchers and other bioinformaticians towards aligning/guiding the bioinformatics activities to maximize organizations competitive advantage in biomedical research. Interact with other research divisions computing infrastructure staff outside academic/industrial partners.

Excellent communication skills and strong desire to interact with researchers carrying out cutting-edge biomedical research.

Uphold company mission and values through accountability innovation integrity quality and teamwork.

Support and comply with the companys 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.

Minimum Qualifications

Bachelors Degree/Masters 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

Masters 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.

The base pay for this position is

$68000.00 $136000.00

In specific locations the pay range may vary from the range posted.

Research and Discovery

ONCO Cancer Diagnostics

United States > Madison : 1 Exact Lane

Standard

Yes 5 % of the Time

No

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.

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