Job Title: Bioinformatics Engineer
Location: Secaucus, NJ (Remote)
Duration: 6+ Months
Mandatory Skills: Next-generation sequencing (NGS) data analysis, advanced diagnostic testing development ,database development, programming languages, cloud development, bioinformatic methods
Job Details:
This position is in our Bioinformatics Solutions Engineering group, part of the Research and Development organization, in Molecular Genomics & Oncology unit. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment, primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Solutions Engineering group is a cross-functional unit focusing on end-to-end design, develop, document, validation and launching of new high quality diagnostic tests and services for the benefit of our patients.
Responsibilities:
• Develop, validate, and implement new software applications, databases, processes, and interfaces relating to next-generation sequencing (NGS) data analysis, advanced diagnostic testing development and validation, data quality review, and clinical reporting.
• Serve as SME on specific systems/workflows supporting advanced development and high-tier production support.
• Participate in resolution of support requests. Regularly report progress and prepare data analyses for internal review
• Prepare reports and other communications of technical activities related to business objectives such as product/process development and improvement.
• Activities may be focused individual projects or, more usually, assignments as a member of a project team, often working closely with other Software Developers, R&D bench scientists, Genetic Counselors, Operations Scientists, and other technical business partners.
Qualifications:
3+ years of experience with a Bachelor's degree or 1+ year with a Master's degree and experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools.
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