About the Job

The Senior Scientist, Computational Biology on the Computational Biology will closely collaborate with a team of R&D lab scientists developing new technologies in order to enable future products and enrich the analytical capabilities of existing products, providing relevant computational bioinformatic and statistical expertise and leadership.

Key Responsibilities

• Work within a broad interdisciplinary R&D team, in especially close collaboration with molecular biologists, enable development of new molecular biology methods in service of developing diagnostic products.

• Lead development of algorithms and new computational methods for identifying clinically-relevant genomic and epigenomic alterations in tumor DNA and RNA derived from clinical specimens, potentially leading a small team

• Process, analyze, and interpret high volumes of data for the development and validation of methods.

• Incorporate new findings of cancer biology and data from novel molecular biology methods into existing computational pipelines.

• Mentor junior colleagues and collaborate with project teams.

• Present scientific and technical data to colleagues in a clear and cohesive manner.

• Work independently and prepare timetables, deliverables, and project schedules.

• Assist in protecting intellectual property invented in the course of product development.  

• Represent the computational biology group in cross-functional projects.

• Other duties as assigned.

Qualifications

Basic Qualifications

• Master's Degree or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field

• 3+ years working in NGS based diagnostics or research

• Academic or professional study/work with molecular biology and/or genomics

• Familiar with one or more of the following programming and scripting languages: Python, Java, R, or C++

Preferred Qualifications

• Strong understanding of molecular biology and genomics

• Experience:

• developing algorithms for analysis of novel kinds of biological data
• contributing to a complex production analytical system
• with next-generation (NGS) sequencing data
• in cancer research, including a working understanding of computational approaches for cancer genome analysis
• leading collaborative projects with colleagues in other disciplines

• 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