Director of 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 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
• Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
• An excellent retirement savings plan with high employer contribution
• Tuition reimbursement, the Freedom 2 Savestudent debt program and FreeUeducation 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 around the world 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 a best place to work for diversity, working mothers, female executives, and scientists

Director – Bioinformatics

DO WORK THAT MATTERS

Abbott Rapid Diagnostics (formerly Alere) is part of Abbott’s Diagnostics family of businesses, bringing together exceptional teams of experts and industry-leading technologies to support diagnostic testing which provides important information for treatment and management of diseases and other conditions. At Abbott, diverse ideas, perspectives, and expertise allow us to create life-changing solutions that help people live healthier lives. In 150 countries and with businesses spanning nutrition, diagnostics, medical devices, and branded generic pharmaceuticals, Abbott offers you enormous opportunities to explore your interests and help you achieve your career and personal goals.

Abbott is currently looking for an Innovative Bioinformatician who can effectively lead a team of bioinformaticians in building the infrastructure and tools needed to optimize and accelerate molecular and immunoassay diagnostic assay design and development efforts as well as develop and automate pipelines for data analysis to drive continuous improvement efforts ultimately enabling commercialization of robust diagnostic tests. Now is an exciting time to join!

The opportunity is available at our location in San Diego , CA.

Job Responsibilities

• The individual is responsible for the development, implementation and maintenance of bioinformatics strategies, structure and tools
• Lead a team of bioinformaticians, driving teamwork, innovation, on-time delivery, and individual career development
• Develop and maintain bioinformatics strategies that enable goals of organization to be met
• Oversee the development of pipelines, workflows and tools to enable rapid and robust data analysis
• Develop tools to further the understanding and characterization of, and accelerate the development of, nucleic acid amplification technologies and immunoassay technologies
• Apply advanced data analytics and machine learning concepts to provide robust analyses, understanding of and interpretation of large biological data sets
• Work closely with cross-functional teams, providing computational tools and resources for analysis of biological data sets
• Drive best practice, and continuous improvement of bioinformatics and data analysis tools and methods
• Provide written reports, technical documentation and/or oral presentations to internal and external users
• Deliver high-quality bioinformatics results, by implementing rigorous quality control and validation methodologies

Qualifications

• M.S. or Ph.D. in Bioinformatics, Computational Biology, Computer Science or related field
• Minimum ten years of full-time experience in an industrial setting
• Extensive knowledge of bioinformatics methodologies and tools commonly implemented for the analysis of biological data sets