Gilead Sciences
Sr Scientist, Oncology Bioinformatics
Gilead Sciences, San Francisco, California, United States, 94199
Overview
We are seeking a highly talented and motivated Senior Oncology Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology. The successful candidate will work in a fast-paced and highly collaborative environment and impact high-level decision-making on internal pipeline and external collaboration. The scientist will develop and employ rigorous statistical modeling and cutting-edge bioinformatics methods to perform integrative large-scale omics dataset analysis to enable research objectives and communicate analysis results to project teams and across research functions. Essential Functions
Develop and apply statistical and computational tools to analyze large-scale omics and high-dimensional data from internal, publicly available, commercial, and real-world datasets to enable novel target identification, target assessment, MoA elucidation, drug combination rationale, and patient stratification, etc. Design and apply statistical techniques and machine learning algorithms to enable the discovery and evaluation of preclinical predictive and prognostic biomarkers for oncology projects. Collaborate with cross-functional teams to analyze and interpret complex large datasets and efficiently communicate findings to non-computational scientists and senior leaders. Minimum Knowledge, Experience, And Skills
Extensive hands-on experience in analyzing and interpreting RNA-Seq (bulk and single cell), WES, WGS, ATAC-Seq, CITE-Seq, and TCR-Seq data is required. Experience with additional omics data (e.g., spatial transcriptomics, ChIP-Seq, MeRIP-seq, NanoString, multiplex qPCR, HTS data) is a plus. Strong statistics knowledge, including probability theory, univariate and multivariate analysis, unsupervised and supervised learning, regression, survival analysis, feature selection, and power analysis. Excellent oral and written communication skills with ability to synthesize scientific questions into coherent analyses and present findings to project teams and senior leaders. Proactive, self-motivated, capable of managing multiple projects in parallel in a dynamic environment. Demonstrated track record of producing high-quality scientific results as an individual contributor and team member. Basic Qualifications
Bachelor's Degree and Eight Years’ Experience OR Master's Degree and Six Years’ Experience OR Ph.D. Preferred Qualifications
PhD in bioinformatics, computational biology, biostatistics, cancer genomics, or related field with at least 3 years of relevant work experience. Industry experience preferred. Excellent interpersonal and communication skills to foster collaboration and teamwork. Basic understanding of cancer biology, immunology, molecular and cell biology. Proficiency in R, Python, Perl, Java, or C/C++ programming languages. Proficiency in high-performance computing and cloud computing environments. Strong publication record in peer-reviewed journals. Willingness to work on-site at Foster City Headquarters at least 3 days per week. People Leader Accountabilities
Create Inclusion - value diverse teams and embed inclusion in management practices. Develop Talent - coach employees, provide feedback, and support growth and development. Empower Teams - align goals with organizational objectives and remove barriers to enable team success. Compensation and Benefits
The salary range for this position is: $169,320.00 - $219,120.00. Benefits include company-sponsored medical, dental, vision, and life insurance plans. Eligible employees may participate in benefit plans subject to plan terms. EEO and Accessibility
Gilead Sciences Inc. is an equal employment opportunity employer. We are dedicated to fostering an inclusive work environment with diverse perspectives, backgrounds, and experiences. Reasonable accommodations may be provided during the application process; contact ApplicantAccommodations@gilead.com for assistance. See Know Your Rights poster for information on equal employment protections. How to Apply
For current Gilead employees and contractors, please apply via the Internal Career Opportunities portal in Workday.
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We are seeking a highly talented and motivated Senior Oncology Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology. The successful candidate will work in a fast-paced and highly collaborative environment and impact high-level decision-making on internal pipeline and external collaboration. The scientist will develop and employ rigorous statistical modeling and cutting-edge bioinformatics methods to perform integrative large-scale omics dataset analysis to enable research objectives and communicate analysis results to project teams and across research functions. Essential Functions
Develop and apply statistical and computational tools to analyze large-scale omics and high-dimensional data from internal, publicly available, commercial, and real-world datasets to enable novel target identification, target assessment, MoA elucidation, drug combination rationale, and patient stratification, etc. Design and apply statistical techniques and machine learning algorithms to enable the discovery and evaluation of preclinical predictive and prognostic biomarkers for oncology projects. Collaborate with cross-functional teams to analyze and interpret complex large datasets and efficiently communicate findings to non-computational scientists and senior leaders. Minimum Knowledge, Experience, And Skills
Extensive hands-on experience in analyzing and interpreting RNA-Seq (bulk and single cell), WES, WGS, ATAC-Seq, CITE-Seq, and TCR-Seq data is required. Experience with additional omics data (e.g., spatial transcriptomics, ChIP-Seq, MeRIP-seq, NanoString, multiplex qPCR, HTS data) is a plus. Strong statistics knowledge, including probability theory, univariate and multivariate analysis, unsupervised and supervised learning, regression, survival analysis, feature selection, and power analysis. Excellent oral and written communication skills with ability to synthesize scientific questions into coherent analyses and present findings to project teams and senior leaders. Proactive, self-motivated, capable of managing multiple projects in parallel in a dynamic environment. Demonstrated track record of producing high-quality scientific results as an individual contributor and team member. Basic Qualifications
Bachelor's Degree and Eight Years’ Experience OR Master's Degree and Six Years’ Experience OR Ph.D. Preferred Qualifications
PhD in bioinformatics, computational biology, biostatistics, cancer genomics, or related field with at least 3 years of relevant work experience. Industry experience preferred. Excellent interpersonal and communication skills to foster collaboration and teamwork. Basic understanding of cancer biology, immunology, molecular and cell biology. Proficiency in R, Python, Perl, Java, or C/C++ programming languages. Proficiency in high-performance computing and cloud computing environments. Strong publication record in peer-reviewed journals. Willingness to work on-site at Foster City Headquarters at least 3 days per week. People Leader Accountabilities
Create Inclusion - value diverse teams and embed inclusion in management practices. Develop Talent - coach employees, provide feedback, and support growth and development. Empower Teams - align goals with organizational objectives and remove barriers to enable team success. Compensation and Benefits
The salary range for this position is: $169,320.00 - $219,120.00. Benefits include company-sponsored medical, dental, vision, and life insurance plans. Eligible employees may participate in benefit plans subject to plan terms. EEO and Accessibility
Gilead Sciences Inc. is an equal employment opportunity employer. We are dedicated to fostering an inclusive work environment with diverse perspectives, backgrounds, and experiences. Reasonable accommodations may be provided during the application process; contact ApplicantAccommodations@gilead.com for assistance. See Know Your Rights poster for information on equal employment protections. How to Apply
For current Gilead employees and contractors, please apply via the Internal Career Opportunities portal in Workday.
#J-18808-Ljbffr