Key Responsibilities • Work within an interdisciplinary team of molecular biologists, computational biologists, and software engineers focused on developing diagnostic products using massively parallel sequencing of tumor genomic DNA and RNA. • Contribute to the development of new methods and algorithms to identify and characterize alterations in tumor DNA and RNA derived from clinical cancer specimens. • Enhance existing methods, improving their assay capabilities as well as their technical robustness. • Process, analyze, and interpret high volumes of data for the development and validation of methods. • Monitor and evaluate analytical aspects of new and emerging technologies. • Present scientific and technical data to colleagues in a clear and cohesive manner. • Work independently and prepare timetables, deliverables, and project schedules. • Other duties as assigned. Qualifications Basic Qualifications • Master's Deggree in Bioinformatics, Computational Biology, Computer Science, or a related field • Academic or professional study/work with molecular biology and/or genomics • Familiar with one of the following programming and scripting languages: Python, Java, R, or C++ Preferred Qualifications • PhD in Bioinformatics, Computational Biology, Computer Science, or related field • Strong understanding of molecular biology and genomics • Experience: · contributing to a complex production analytical system · developing algorithms for analysis of biological data · with next-generation (NGS) sequencing data · in cancer research, including a working understanding of computational approaches for cancer genome analysis • Excellent teamwork, time management and organizational skills • Demonstrated ability to: · work independently in a multidisciplinary, fast-paced, dynamic, and results-oriented environment · present data to a multidisciplinary audience in a clear and cohesive manner • Understanding of HIPAA and the importance of patient data privacy • Commitment to reflect FMI's values: passion, patients, innovation, and collaboration