Foundation Medicine began with an idea-to simplify the complex nature of cancer genomics, bringing cutting-edge science and technology to everyday cancer care.
Our approach generates insights that help doctors match patients to more treatment options and helps accelerate the development of new therapies.
Foundation Medicine is the culmination of talented people coming together to realize an important vision, and the work we do every day impacts real lives.
ABOUT THE JOB Foundation Medicine is dedicated to helping bring personalized cancer medicine into routine clinical practice.
Harnessing advanced technology, Foundation Medicine is developing clinical laboratory tests that will broadly capture the most relevant tumor genomic and other molecular information in a single test and connect it with relevant scientific and medical knowledge to help oncologists determine the right treatment for each patient.
We are seeking a Computational Biologist to develop novel methods for detecting and reporting alterations in tumor DNA and RNA, as well as to improve and optimize existing methods.
This highly-skilled individual will contribute scientific, technical, and leadership expertise to an interdisciplinary team focused on making a clinical impact through advanced analysis at large scale.
You would join the Computational Biology team, which is responsible for the genomics platform that powers every test at Foundation Medicine.
The scientists and engineers in the group collaborate with other scientific teams to enrich the analytical capabilities of existing products as medical knowledge advances, as well as to design and build lab protocols and computational analyses for new products.
You would contribute to many of the projects we undertake, and those efforts will have direct impacts on patient care.
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.
QUALIFICATIONS Basic Qualifications: MS in Bioinformatics, Computational Biology, Computer Science, or related field Strong scientific understanding of molecular biology and genomics.
Familiar with programming and scripting languages is required (Python, Java, R, or C++).
Preferred Qualifications: PhD in Bioinformatics, Computational Biology, Computer Science, or related field Experience contributing to a complex production analytical system is highly desirable.
Experience developing algorithms for analysis of biological data.
Prior experience with next-generation (NGS) sequencing data is highly desirable.
Experience in cancer research, including a working understanding of computational approaches for cancer genome analysis, is highly desirable.
Excellent teamwork, time management and organizational skills.
Ability to work independently in a multidisciplinary, fast-paced, dynamic, and results-oriented environment.
Ability to present data to a multidisciplinary audience in a clear and cohesive manner.