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, Computer Science or related field

• Minimum 8 years in R&D function or engineering role.

• Demonstrated successful experience in the application of engineering principles to research and/or product development activities.

• Strong experience in the use of computational modeling techniques such as FEA, CFD, or Multiphysics modeling.

• Demonstrated ability to develop and apply models using first principles engineering and scientific methodologies.

• Ability to work in a highly matrixed and geographically diverse business environment.

• Ability to work within a team and as an individual contributor in a fast-paced, changing environment.

• Ability to leverage and/or engage others to accomplish projects.

• Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization.

• Multitasks, prioritizes and meets deadlines in timely manner.

• Strong organizational and follow-up skills, as well as attention to detail.

• Ability to travel approximately 20%, including internationally if needed.

​Preferred Qualifications.

• Extensive expertise in statistics, data mining, machine learning and/or data modeling techniques

• Excellent analytical and troubleshooting capabilities

• Seven years of full-time experience in an similar scope of work. OR Five years of experience plus a master's degree, OR two years of work plus PHD in Bioinformatics, Computational Biology, Computer Science or related field

• Demonstrated ability to work independently or as part of a team to achieve desired results from general objectives

• Demonstrated ability to communicate effectively

• Hands-on experience in building bioinformatics tools for selection of primers and probes for nucleic acid amplification assays

• Science or related field

• Extensive experience in the design and optimization of nucleic acid amplification assays

• Use of standard bioinformatics tools and databases (BLAST, GenBank)

• Proficient and hands-on in Python in a Linux environment, including experience in building automated pipelines for data analysis and maintaining bioinformatics pipelines

• M.S. or Ph.D. in Bioinformatics, Computational Biology, Computer

• Knowledge of various programing languages (R, Python, Perl, etc.) is a plus

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:  www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.

     

The base pay for this position is

$98,000.00 – $196,000.00

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

     

JOB FAMILY:

Product Development

     

DIVISION:

ID Infectious Disease

        

LOCATION:

United States > San Diego : 4545 Towne Center Court

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

Yes, 5 % of the Time

     

MEDICAL SURVEILLANCE:

Not Applicable

     

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.pdf

     

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf