Bioinformatics Engineer

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.