Bioinformatics Support Specialist (Remote) at Agilent Technologies, Inc.

Agilent inspires and supports discoveries that advance the quality of life. We provide life science, diagnostic, and applied market laboratories worldwide with instruments, services, consumables, applications, and expertise. Agilent enables customers to gain the answers and insights they seek so they can do what they do best: improve the world around us. Information about Agilent is available at is your opportunity to make an impact on cutting-edge technology!We’re looking for a highly motivated bioinformatics scientist to join our remote Genomics Support team to help provide customer support on Agilent’s NGS analysis tools, including the Alissa Clinical Informatics platform. This platform streamlines data analysis and variant assessment workflows-providing outstanding support from raw reads to draft reports, reducing workflow complexity and time. As a Bioinformatics Support Engineer, you will assist customers with secondary and tertiary NGS analysis to efficiently prioritize, curate, and report genomic variants. This role serves as customer contact on technical and troubleshooting cases. Support will include clinical customers and may deliver customer training/demos via WebEx. Works closely with sales, FAS, marketing, and R teams. Provide online technical support to customers via phone and email Efficiently troubleshoot and resolve customer’s technical inquiries Provide customer-facing NGS data analysis support for Agilent Genomics customers Logs tickets in Tech Support CRM; work closely with Informatics Support, R Teams Work with external customers such as bioinformatics, clinical genetics, laboratory scientists Fixing data analysis files Visualizing and assessing specific genetic variants and analyzing NGS data Analyzing results from NGS assays Qualifications BS, MS, or Ph.D. in Computer Science, Bioinformatics, or related field. Typically requires a minimum of 5 years of related experience 3+ years of experience with C#, C++, Java, Python, or similar software languages Solid understanding of the Linux operating system Familiarity with Amazon Web Services (AWS) architecture and concepts Outstanding problem-solving skills Understanding of the basic next-generation sequencing (NGS) workflows Strong working knowledge of common genome analysis toolkits like GATK and BWA, as well as standard data formats common in the genomic analysis industry like FASTQ, FASTA, BCL, VCF, BAM, etc. Desired: Expertise in building, implementing, and/or using clinical genomics analysis, interpretation, and reporting software Detailed knowledge of human genetics, next-generation sequencing methods, variant calling pipelines, and annotation tools. Possesses strong interpersonal skills, with the ability to present sophisticated scientific principles to software engineers and other members of multi-functional teams Proficiency in scripting languages, building pipelines that collaborate with APIs, and cloud computing Experience with genomic variant interpretation preferred Agilent Technologies, Inc. is an Equal Employment Opportunity and Affirmative Action employer. We value diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to diversity in the workplace and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email or contact +1-. For more information about equal employment opportunity protections, please see all of our notices for EEO below.

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