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