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The Research and Development team at Foundation Medicine is constantly pushing the envelope to transform cancer care.

Watch the video above to see how each member has the chance to make a real impact. 


Computational Biologist

  • Second Street, Cambridge, Massachusetts, United States
  • Full Time

About the Job

The Computational Biologist on the Cancer Genomics team investigates computational, bioinformatic and statistical aspects of genomic and epigenomic data as part of multidisciplinary teams developing new technologies and approaches that will benefit cancer patients.


Key Responsibilities

• Work in a collaborative and interdisciplinary team of molecular biologists, computational biologists, and data scientists focused on developing innovative approaches in tumor detection and oncology biomarkers using NGS in blood and tissue specimens from cancer patients.

• Analyze raw data from novel molecular biology and instrumentation platforms to provide insights into effectiveness and development of approaches.

• Identify and analyze novel biological measurements and signals to develop and optimize strategies for detection of tumor and improvement of clinical biomarkers.

• Monitor and evaluate analytical aspects of new and emerging technologies.

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

• Other duties as assigned.



Basic Qualifications

• Master's Degree in Bioengineering, Data Science, Biology or a related quantitative field


Preferred Qualifications

• PhD in Bioengineering, Data Science, or a related quantitative field

• 3+ years of experience in applied scientific development in a multidisciplinary group

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

• Experience:

·   using statistics and machine learning for practical results in high-dimensional datasets relevant to oncology

·   developing pipelines for analysis of NGS sequencing data

·   developing signal processing approaches for improved analysis in clinical oncology

·   working with UNIX operating systems, ideally in high-performance and cloud computing environments

·   developing and executing data analysis strategies including emphasis on hypothesis-driven formulations and approaches

• Strong understanding of molecular biology, genomics and epigenetics in cancer

• Familiarity with one of the following languages: Python, Java, R, C++ or equivalent

• Familiarity with data science, applied statistics and data presentation approaches and tools

• Demonstrated ability to:

·   work independently in a multidisciplinary, dynamic, and results-oriented teams

·   present data to multidisciplinary colleagues in a clear manner

• Excellent teamwork, time management and organizational skills

• Understanding of HIPAA and importance of privacy of patient data

• Commitment to FMI's values: passion, patients, innovation, and collaboration

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