In this role, the scientist will analyze and interpret genomic alterations to support diverse external collaborations focused on drug development through data mining, hypothesis generation, and advanced genomic analysis. The role may also develop new analysis methods to be applied to cancer genomic profiling data. These applications require a strong ability to problem-solve, a deep knowledge of cancer biology, and the ability to effectively use scripting languages to interpret large sequencing datasets. The ideal candidate is able to leverage their cancer biology knowledge to implement logical and biologically and/or clinically relevant computational analyses.
Key Responsibilities
Develop and evaluate potential biomarkers using FoundationCORE.
Determine when statistical analysis is needed and apply the analysis.
Use a computer cluster to analyze genomic signatures on historical samples.
Communicate with Biopharma partners and internal departments as needed to define specifics of cancer mutations and other related scientific queries.
Perform queries for Biopharma partners and return results.
Utilize cancer genomics expertise to investigate genomic mechanisms of oncogenesis.
Integrate appropriate clinical data with Next-Generation Sequencing (NGS) output.
Work collaboratively with internal colleagues to refine analysis algorithms and methods.
Contribute scientific expertise to broader projects within the Research and Development team.
Other duties as assigned.
Qualifications
Basic Qualifications
Bachelor's degree in related field and 3+ years of research experience preferred in the life sciences industry; OR,
Master's and 2+ research experience preferred in the life sciences industry; OR,
PhD and no experience
Preferred Qualifications
1+ years of industry or post-doctorate experience within Cancer Biology, Bioinformatics, Biochemistry, or another related life science
1+ years of industry or post-doctorate research experience with cancer genomics and/or next-generation sequencing principles
Familiarity with one or more of the following scientific computing languages: Python, R, Matlab, or Java
Familiarity with clinical nomenclature including stage, grade, ECOG, and the patient journey in oncology
Familiarity with basic statistics
Experience working with publicly available datasets, such as TCGA
Ability to analyze and critically interpret scientific literature
Effective oral and written communication skill
Excellent writing skills and the desire to contribute to scientific manuscripts and abstracts
Reliability, high ethical standards and integrity
Translational research experience
Understanding of HIPAA and importance of privacy of patient data
Commitment to FMI values: patients, innovation, collaboration, and passion
Foundation Medicine, Inc. (FMI) 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.
Foundation Medicine is proud to be an Equal Opportunity and Affirmative Action employer and considers all qualified applicants for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Further, qualified applicants will not be discriminated against on the basis of disability or protected veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also FMI's EEO Statement and EEO is the Law and Supplement . If you have a disability or special need that requires accommodation, please let us know by completing this form . (EOE/AAP Employer)