Sr Engineer – Bioinformatics

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 114,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:

• Career development with an international company where you can grow the career you dream of.

• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.

• An excellent retirement savings plan with a high employer contribution

• Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.

• A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.

• A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of our San Diego, California location on site daily in the Infectious Disease group.

Abbott is currently looking for an innovative Senior Engineer, Bioinformatics who can effectively build tools to optimize and accelerate molecular diagnostic assay design efforts as well as automate pipelines for data analysis to drive continuous improvement efforts ultimately enabling commercialization of robust diagnostic tests. 

What You’ll Work On

• The individual is responsible for the development and/or implementation of bioinformatics tools to accelerate nucleic acid amplification assay design efforts

• Develop and maintain automated pipelines to enable rapid and robust data analysis and to drive the continuous improvement and optimization of nucleic acid amplification tests

• Apply advanced data analytics and machine learning concepts to provide a greater understanding and interpretation of data sets

• Create tools for compilation of large data sets in multiple formats from multiple sources for analysis

• Design experiments to further the understanding and characterization of nucleic acid amplification assays

• Drive the continuous improvement of data analysis tools and methods used for assay design

• Provide written reports, technical documentation and/or oral presentations to internal and external users

• Oversees and performs analyses to develop design specifications and performance requirements.

• Leads the utilization of computational modeling techniques to evaluate and determine optimal design solutions. 

  Leads implementation of best practices within the R&D teams.

• Contributes to and/or author reports to support product testing and analysis that meet internal quality requirements as well as meet requirements to satisfy regulatory approvals.

• Collaborates across multi-disciplinary and cross-functional teams to develop solutions to complex engineering challenges.

  Provides technical assistance for diagnosing design and manufacturing quality problems.

  Contributes to establishing best practices in use of engineering tools, data analysis, and knowledge sharing.  Acts as a technical mentor to other engineers.

• Work as part of a multi-disciplinary team with other scientists, chemists, engineers and manufacturing personnel

• Initiates new experiments, leads medium sized projects or multiple smaller projects, develops and executes more advanced preclinical scientific research and/or development.

• May be part of team or capable of submitting ideas for inventions; may publishes or innovates through patent filings and/or scientific publications. 

• Demonstrated ability to analyze, interpret, and present data are essential

Required Qualifications

• Bachelor's in bioinformatics, Computational Biology, C