Fred Hutchinson Cancer Center (Fred Hutch)
Bioinformatics Analyst I/II - Computational Cancer Genomics and Data Science
Fred Hutchinson Cancer Center (Fred Hutch), Seattle, Washington, us, 98127
Bioinformatics Analyst I/II - Computational Cancer Genomics and Data Science
Job ID:
28864 Type:
Regular Full-Time Location:
US-WA-Seattle Category:
Biostatistics, Bioinformatics and Computational Biology Overview
Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. These values are grounded in and expressed through the principles of diversity, equity and inclusion. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Ha Lab is a computational biology team working with interdisciplinary collaborators with expertise in experimental biology, cancer biology, and clinical cancer research. We are part of the Computational Biology Program and are housed in the newly remodeled Steam Plant building overlooking Lake Union near downtown Seattle and the University of Washington. We are seeking a highly motivated individual who is interested in applying computational and analytical approaches to study genetics and epigenetics of cancer from tumor and liquid biopsies. A Bioinformatics Analyst position in the laboratory of Dr. Gavin Ha is available immediately. Candidates who are excited about research in bioinformatics, data science, machine learning, and explainable AI approaches to large/complex 'omics' data in the field of cancer research are encouraged to apply. The position has a competitive salary with great benefits. Responsibilities
The research interests/projects and responsibilities for this Analyst position in the Ha lab include: Bioinformatics Analyst I
Under the direction of senior personnel, run established bioinformatic tools and pipelines for analysis of normal and cancer 'omics' datasets for various research projects. Work with research team to document, process, manage and store large datasets. Generate figures and tables summarizing data outputs. Beta test new bioinformatic tools in development. Bioinformatics Analyst II
Analyze cancer genomes to understand tumor progression/evolution/heterogeneity, metastatic disease, non-coding genome alterations, copy number alterations, genome rearrangements and 3D structure, mutational signatures. Partner with Fred Hutch scientists to refine computational research questions and design analytical processes that can be applied to these genomic datasets. Develop and/or apply machine learning techniques to analyze large cancer datasets. Identify and implement appropriate bioinformatic tools for analyzing sequence data from tumor genomes including long-range sequencing technologies. Develop and implement computational approaches to analyze circulating tumor DNA from liquid biopsies. Prepare figures and written sections to document methods and results for manuscripts, presentations, and grant applications. Implement and maintain best practices in large-scale data management and database development. Qualifications
Bioinformatics Analyst I
MINIMUM QUALIFICATIONS: Applicants must have at least a bachelor's degree in one of these disciplines: Computational biology, bioinformatics, computer science, data science, statistics, biostatistics, biomedical engineering, computer/electrical engineering, physics, or other related fields, with some prior experience applying computation analysis of large sequence-based molecular data in an academic research lab or industry setting. Minimum 1 year experience with analyzing genome sequencing data. Strong programming skills in R and Python. PREFERRED QUALIFICATIONS: Previous experience working with cancer genomics datasets. A background in cancer biology. Experience working in and developing workflows for cloud computing environments. Experience with high performance computing environments. Strong skills in implementation of analytical tools at scale. Experience with pipeline management tools. Works well in team environments; strong communication skills; detail-oriented. Bioinformatics Analyst II
MINIMUM QUALIFICATIONS: Applicants must have at least a bachelor's degree in one of these disciplines: Computational biology, bioinformatics, computer science, data science, statistics, biostatistics, biomedical engineering, computer/electrical engineering, physics, or other related fields, with some prior experience applying computation analysis of large sequence-based molecular data in an academic research lab or industry setting. 3+ years relevant experience, or a master's degree with a minimum 1 full year of relevant experience outside the degree requirements. Effective use of shell scripting and significant fluency in R and Python 3. Familiarity with workflow and scheduling software. PREFERRED QUALIFICATIONS: Facility with commonly used Bioconductor packages, ggplot, tidyverse etc. Ability to generate and customize common data visualizations. Excellent written and verbal communication skills. To apply, please submit your application with the following: Cover letter describing your experience and/or research interests is required. Curriculum vitae. Example of your code either as: An attachment or; Link(s) to public repositories. Names and email addresses of three professional references. Statement on commitment to Diversity, Equity, and Inclusion. A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists. Salary:
The annual base salary range for this position is from $68,162 to $102,211 for Bioinformatics Analyst I and from $78,894 to $118,310 for Bioinformatics Analyst II, with pay based on experience and qualifications. This position may be eligible for relocation assistance. Our Commitment to Diversity
We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans.
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Job ID:
28864 Type:
Regular Full-Time Location:
US-WA-Seattle Category:
Biostatistics, Bioinformatics and Computational Biology Overview
Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. These values are grounded in and expressed through the principles of diversity, equity and inclusion. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Ha Lab is a computational biology team working with interdisciplinary collaborators with expertise in experimental biology, cancer biology, and clinical cancer research. We are part of the Computational Biology Program and are housed in the newly remodeled Steam Plant building overlooking Lake Union near downtown Seattle and the University of Washington. We are seeking a highly motivated individual who is interested in applying computational and analytical approaches to study genetics and epigenetics of cancer from tumor and liquid biopsies. A Bioinformatics Analyst position in the laboratory of Dr. Gavin Ha is available immediately. Candidates who are excited about research in bioinformatics, data science, machine learning, and explainable AI approaches to large/complex 'omics' data in the field of cancer research are encouraged to apply. The position has a competitive salary with great benefits. Responsibilities
The research interests/projects and responsibilities for this Analyst position in the Ha lab include: Bioinformatics Analyst I
Under the direction of senior personnel, run established bioinformatic tools and pipelines for analysis of normal and cancer 'omics' datasets for various research projects. Work with research team to document, process, manage and store large datasets. Generate figures and tables summarizing data outputs. Beta test new bioinformatic tools in development. Bioinformatics Analyst II
Analyze cancer genomes to understand tumor progression/evolution/heterogeneity, metastatic disease, non-coding genome alterations, copy number alterations, genome rearrangements and 3D structure, mutational signatures. Partner with Fred Hutch scientists to refine computational research questions and design analytical processes that can be applied to these genomic datasets. Develop and/or apply machine learning techniques to analyze large cancer datasets. Identify and implement appropriate bioinformatic tools for analyzing sequence data from tumor genomes including long-range sequencing technologies. Develop and implement computational approaches to analyze circulating tumor DNA from liquid biopsies. Prepare figures and written sections to document methods and results for manuscripts, presentations, and grant applications. Implement and maintain best practices in large-scale data management and database development. Qualifications
Bioinformatics Analyst I
MINIMUM QUALIFICATIONS: Applicants must have at least a bachelor's degree in one of these disciplines: Computational biology, bioinformatics, computer science, data science, statistics, biostatistics, biomedical engineering, computer/electrical engineering, physics, or other related fields, with some prior experience applying computation analysis of large sequence-based molecular data in an academic research lab or industry setting. Minimum 1 year experience with analyzing genome sequencing data. Strong programming skills in R and Python. PREFERRED QUALIFICATIONS: Previous experience working with cancer genomics datasets. A background in cancer biology. Experience working in and developing workflows for cloud computing environments. Experience with high performance computing environments. Strong skills in implementation of analytical tools at scale. Experience with pipeline management tools. Works well in team environments; strong communication skills; detail-oriented. Bioinformatics Analyst II
MINIMUM QUALIFICATIONS: Applicants must have at least a bachelor's degree in one of these disciplines: Computational biology, bioinformatics, computer science, data science, statistics, biostatistics, biomedical engineering, computer/electrical engineering, physics, or other related fields, with some prior experience applying computation analysis of large sequence-based molecular data in an academic research lab or industry setting. 3+ years relevant experience, or a master's degree with a minimum 1 full year of relevant experience outside the degree requirements. Effective use of shell scripting and significant fluency in R and Python 3. Familiarity with workflow and scheduling software. PREFERRED QUALIFICATIONS: Facility with commonly used Bioconductor packages, ggplot, tidyverse etc. Ability to generate and customize common data visualizations. Excellent written and verbal communication skills. To apply, please submit your application with the following: Cover letter describing your experience and/or research interests is required. Curriculum vitae. Example of your code either as: An attachment or; Link(s) to public repositories. Names and email addresses of three professional references. Statement on commitment to Diversity, Equity, and Inclusion. A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists. Salary:
The annual base salary range for this position is from $68,162 to $102,211 for Bioinformatics Analyst I and from $78,894 to $118,310 for Bioinformatics Analyst II, with pay based on experience and qualifications. This position may be eligible for relocation assistance. Our Commitment to Diversity
We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans.
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