Job Description:
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, and connect it with relevant scientific and medical knowledge to help oncologists determine the right treatment for each patient.
The Bioinformatics Scientist will be responsible for development of clinical diagnostic assays and biomarker signatures for pharmaceutical partners through research, implementation, and validation of advanced computational methods. The successful candidate will possess strong analytical skills, solid programming experience, a high level of professional maturity, and ability to consistently meet deadlines under pressure.
Responsibilities:
Development, analysis and testing of advanced computational methods to enhance FM’s clinical diagnostic platform with an emphasis on rigorously validated results and robust procedures to bring methods to the operational level. Delivery of novel biomarker signatures based on NGS to pharmaceutical partners and academic collaborators, with an emphasis on accuracy and timeliness. Development and validation of clinical diagnostic assays for pharmaceutical partners based on massively parallel sequencing (NGS) data. Assume responsibility for developing annotated genomic profiles of somatic aberrations based on NGS, in the context of studies of cancer-patient samples. Collaborate with other technical teams in specifying requirements for tools to enhance workflow efficiency and robustness Assist with drafting and completing manuscripts for publication; manage data analysis and interpretation of study results throughout manuscript publication process from draft through submission and acceptance.
Qualifications:
Education and Required Experience Either PhD or MS in Bioinformatics, Computer Science, or a related field with a significant quantitative base. For MS, requires 3+ years’ experience in the biopharmaceutical/diagnostics industry or similar academia research Possess extensive scientific understanding of cancer genetics and genomics and show a strong capacity for independent thinking Track record of achievement in developing computational biology methods, preferably Python Highly desirable experience in software engineering, writing production level code with rigorous testing Confident, proactive individual capable of taking the initiative and driving to results. Strong organizational skills in order to maintain a high level of productivity innovation, and setting priorities in order to complete assignments in a timely manner Desired Skills and Experience
Working knowledge of cancer genetics and experience with Next-Generation Sequencing (NGS) Experience with bioinformatics tools and databases (NCBI, UCSC Genome Browser, IGV) Familiar with UNIX environment and use of clusters to parallelize the execution of computational methods Experience working within a CLIA certified clinical diagnostics laboratory
Additional Info:
[Click Here to Access the Original Job Post]
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, and connect it with relevant scientific and medical knowledge to help oncologists determine the right treatment for each patient.
The Bioinformatics Scientist will be responsible for development of clinical diagnostic assays and biomarker signatures for pharmaceutical partners through research, implementation, and validation of advanced computational methods. The successful candidate will possess strong analytical skills, solid programming experience, a high level of professional maturity, and ability to consistently meet deadlines under pressure.
Responsibilities:
Development, analysis and testing of advanced computational methods to enhance FM’s clinical diagnostic platform with an emphasis on rigorously validated results and robust procedures to bring methods to the operational level. Delivery of novel biomarker signatures based on NGS to pharmaceutical partners and academic collaborators, with an emphasis on accuracy and timeliness. Development and validation of clinical diagnostic assays for pharmaceutical partners based on massively parallel sequencing (NGS) data. Assume responsibility for developing annotated genomic profiles of somatic aberrations based on NGS, in the context of studies of cancer-patient samples. Collaborate with other technical teams in specifying requirements for tools to enhance workflow efficiency and robustness Assist with drafting and completing manuscripts for publication; manage data analysis and interpretation of study results throughout manuscript publication process from draft through submission and acceptance.
Qualifications:
Education and Required Experience Either PhD or MS in Bioinformatics, Computer Science, or a related field with a significant quantitative base. For MS, requires 3+ years’ experience in the biopharmaceutical/diagnostics industry or similar academia research Possess extensive scientific understanding of cancer genetics and genomics and show a strong capacity for independent thinking Track record of achievement in developing computational biology methods, preferably Python Highly desirable experience in software engineering, writing production level code with rigorous testing Confident, proactive individual capable of taking the initiative and driving to results. Strong organizational skills in order to maintain a high level of productivity innovation, and setting priorities in order to complete assignments in a timely manner Desired Skills and Experience
Working knowledge of cancer genetics and experience with Next-Generation Sequencing (NGS) Experience with bioinformatics tools and databases (NCBI, UCSC Genome Browser, IGV) Familiar with UNIX environment and use of clusters to parallelize the execution of computational methods Experience working within a CLIA certified clinical diagnostics laboratory
Requeriments :
Skills :
- Bioinformatics
- Biology
- Computational Biology
- Genetics
- Lunix/Unix
- Next Generation Sequencing
- Programing in Python
- Programing Skills
Areas :
Additional Info:
[Click Here to Access the Original Job Post]