Staff Scientist Bioinformatics
Company Name:
Thermo Fisher Scientific
Position Objective
Seeking individuals with expertise in bioinformatics and an understanding of the cancer genome to identify cancer driver aberrations and to associate those genetic events with potential therapeutic strategies. The successful candidate will work collaboratively in a matrix environment to develop data analysis strategies to address key questions about cancer for our internal and external customers. Applications include diagnostics, target and biomarker discovery, indication selection, and clinical development strategies.
Essential Functions
Collaborate with Medical Sciences Informatics (MSI) colleagues to understand our customer s questions about cancer, patients, and drugs, and develop data analysis strategies and plans to answer them.
Implement bioinformatics data integration and analysis pipelines in Pipeline Pilot and/or scripting languages, drawing on MSI's large collection of high-throughput genomic data and sample annotations.
Develop visualization environments in Spotfire to enable scientists to explore the data and answer questions.
Written and verbal presentation of results and methods.
May be required to perform other related duties as required and/or assigned.
Education:
PhD in computer science, computational biology, biostatistics, bioinformatics, or similar (MS acceptable for the candidate with the right experience)
Experience/Requirements:
5 years of post-graduate work experience
Proven understanding and experience in the fields of genomics, experimental data processing, high-throughput data analysis, and genomic databases. Understanding of basic biology and cancer biology a must.
Firm grasp of univariate statistical analysis fundamentals necessary. Experience with multivariate statistics or statistical modeling a plus.
Candidates should have knowledge of leading NGS processing techniques for the quantification of gene expression and copy number, and the identification of somatic mutations, gene fusions, and genomic rearrangements. Direct experience processing NGS data is a plus. Candidates should be familiar with the limitations of the various NGS platforms and informatic pipelines, so that data are appropriately integrated into analyses.
Strong computational skills, particularly in data parsing, cleansing, data modeling, analysis, and database design and implementation.
Solid knowledge of unix/linux. Experience with cluster computing a plus.
Previous bioinformatics and scientific programming experience necessary; experience with Spotfire, Pipeline Pilot, R, SQL, and NGS a plus.
Ability to review, synthesize, and present scientific data and methods.
Good written and verbal communication skills.
Has courage and confidence to take risks and learn from mistakes.
Inspires, motivates and collaborates with others.
Anticipates needs and problems while creating solutions.
Working Conditions:
Works in a casual office environment with other Translational and Bioinformatics Scientists.
Minimum Qualifications (must have)
MS Accpetable for candidates with the appropriate level of experience
Preferred Qualifications (nice to have)
PhD
LI-JV1
EOE
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.Estimated Salary: $20 to $28 per hour based on qualifications.
Thermo Fisher Scientific
Position Objective
Seeking individuals with expertise in bioinformatics and an understanding of the cancer genome to identify cancer driver aberrations and to associate those genetic events with potential therapeutic strategies. The successful candidate will work collaboratively in a matrix environment to develop data analysis strategies to address key questions about cancer for our internal and external customers. Applications include diagnostics, target and biomarker discovery, indication selection, and clinical development strategies.
Essential Functions
Collaborate with Medical Sciences Informatics (MSI) colleagues to understand our customer s questions about cancer, patients, and drugs, and develop data analysis strategies and plans to answer them.
Implement bioinformatics data integration and analysis pipelines in Pipeline Pilot and/or scripting languages, drawing on MSI's large collection of high-throughput genomic data and sample annotations.
Develop visualization environments in Spotfire to enable scientists to explore the data and answer questions.
Written and verbal presentation of results and methods.
May be required to perform other related duties as required and/or assigned.
Education:
PhD in computer science, computational biology, biostatistics, bioinformatics, or similar (MS acceptable for the candidate with the right experience)
Experience/Requirements:
5 years of post-graduate work experience
Proven understanding and experience in the fields of genomics, experimental data processing, high-throughput data analysis, and genomic databases. Understanding of basic biology and cancer biology a must.
Firm grasp of univariate statistical analysis fundamentals necessary. Experience with multivariate statistics or statistical modeling a plus.
Candidates should have knowledge of leading NGS processing techniques for the quantification of gene expression and copy number, and the identification of somatic mutations, gene fusions, and genomic rearrangements. Direct experience processing NGS data is a plus. Candidates should be familiar with the limitations of the various NGS platforms and informatic pipelines, so that data are appropriately integrated into analyses.
Strong computational skills, particularly in data parsing, cleansing, data modeling, analysis, and database design and implementation.
Solid knowledge of unix/linux. Experience with cluster computing a plus.
Previous bioinformatics and scientific programming experience necessary; experience with Spotfire, Pipeline Pilot, R, SQL, and NGS a plus.
Ability to review, synthesize, and present scientific data and methods.
Good written and verbal communication skills.
Has courage and confidence to take risks and learn from mistakes.
Inspires, motivates and collaborates with others.
Anticipates needs and problems while creating solutions.
Working Conditions:
Works in a casual office environment with other Translational and Bioinformatics Scientists.
Minimum Qualifications (must have)
MS Accpetable for candidates with the appropriate level of experience
Preferred Qualifications (nice to have)
PhD
LI-JV1
EOE
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.Estimated Salary: $20 to $28 per hour based on qualifications.
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