Bioinformatics Analyst I/II - Computational Cancer Genomics and Data Science
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. 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.
Dr. Ha is a recipient of an NIH Director’s New Innovator Award, an NCI Transition Career Development Award, a Prostate Cancer Foundation Young Investigator Award, and a V Foundation Scholar Grant. His laboratory develops computational approaches to study cancer genomes from tumors and liquid biopsies, such as circulating tumor DNA, and leverages these data for genome discovery and disease monitoring. Their goals are to uncover mechanisms of treatment resistance, to identify blood-based genetic biomarkers, and to translate these findings to help improve clinical applications.
See the lab website and GitHub for more details on current projects and software:
A Bioinformatics Analyst position in the laboratory of Dr. Gavin Ha (https://GavinHaLab.org/) and the Computational Biology Program 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.
Candidates with strong interest and/or expertise in any of these research areas are highly encouraged to apply:
- Cancer genomics, liquid biopsies, tumor evolution/heterogeneity, epigenetics, single-cell omics
- Application of statistical modeling, algorithm design, artificial intelligence and machine learning, explainable AI to study cancer and genetics
- Analysis of large, complex genome, epigenome or transcriptome data
This position requires onsite work at our South Lake Union campus in Seattle a minimum of 3 days per week.
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 (linked-reads, long-reads, optical mapping).
- 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
MINIMUM QUALIFICATIONS:
Bioinformatics Analyst I
- 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 at 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 is required.
- Strong programming skills in R and Python
- Works well in team environments; strong communication skills; detail-oriented
Bioinformatics Analyst II
- Same degree requirement as Level I plus 3+ years relevant experience; OR a master’s degree with a minimum 1 full year of relevant experience outside the degree requirements
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 (Snakemake, WDL, Nextflow)
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 (1) an attachment or (2) link(s) to public repositories (e.g. GitHub)
- Names and email addresses of three professional references
Bioinformatics Analyst I: The annual base salary range for this position is from $77,976 to $102,211, and pay offered will be based on experience and qualifications.
Bioinformatics Analyst II: The annual base salary range for this position is from $78,895 to $118,310, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months).
Additional Information
We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. 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 desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.Data Annotation Support - Medical Imaging (Temporary) 20 hours
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. 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 Data Coordinator is responsible for accurately annotating radiology image reports to support a cancer recurrence study. This work involves applying pre-defined guidelines to identify cancer recurrence cases to support Artificial Intelligence (AI) model development. This position will report to and works under close supervision of the Principal Investigator or lead analyst.
Responsibilities
- Annotates radiology image reports by applying predefined criteria to identify cancer recurrence cases.
- Flag imaging reports with annotation label and highlight the patterns for further review by clinical experts.
- Maintain detailed records of annotated data and contribute to the development of annotation documentation.
- Generate reports and support preparations of manuscripts based on annotation procedures.
Qualifications
MINIMUM QUALIFICATIONS:
- High School graduation or the equivalent.
- Minimum of two years of college.
- One year of experience in medical records, cancer registry, or related field.
- Strong computer skills and experience working with data bases.
- Strong verbal and written communication skills.
- Knowledge of medical terminology and statistics preferred.
PREFERRED QUALIFICATIONS:
- A background in Radiology, Biology, Biomedical Sciences or related areas is preferred.
- Clinical experience is a plus.
- Critical thinking skills are required.
- Must be flexible and able to work well in a team environment.
- Must be detail-oriented with excellent organizational skills.
The hourly pay range for this position is from $24.02 to $34.19 and pay offered will be based on experience and qualifications.
Fred Hutchinson Cancer Center offers employees access to a retirement savings plan, an employee assistance program, paid sick leave (1 hour for every 30 hours worked), and prorated paid holidays (up to 11 days per year).
Additional Information
We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. 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 desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.Intern, Research - Temporary Part Time
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. 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 purpose of this internship is to provide training to students who would like to pursue a career in research. The Intern, Research - Temporary Part-Time will gain hands-on experience in basic skills.
Intern is expected to work 20 hours per week.
Responsibilities
The intern will be trained in a range of skills and techniques, depending on the project assigned. Under the guidance of a mentor, the intern will learn statistical fundamentals and some of the following skill sets:
- Data analysis
- Data interpretation
- Statistical theory
Qualifications
MINIMUM QUALIFICATIONS:
- Currently a high school graduate or equivelent.
- Good communication skills and an interest in learning.
- Ability to work in a team.
- Good numeracy, literacy and organizational skills.
PREFERRED QUALIFICATIONS:
- Pursuing a bachelor’s degree in the Life Sciences, Engineering/Data Sciences, Business Analytics, Statistics, Public Health, or like disciplines.
- Interest in statistics.
- Interest in biostatistics.
The hourly pay range for this position is from $20.76 to $29.54 and pay offered will be based on experience and qualifications.
Fred Hutchinson Cancer Center offers employees access to a retirement savings plan, an employee assistance program, paid sick leave (1 hour for every 30 hours worked), and prorated paid holidays (up to 11 days per year).
Additional Information
We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. 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 desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.Post-Doctoral Research Fellow
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. 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.
Applications are invited for one or more Post-Doctoral Research Fellow positions with Dr. Li Hsu in the Biostatistics and Cancer Prevention Programs at the Fred Hutchinson Cancer Center.
The position will come with a very competitive salary and great benefits for at least two years. The environment at Fred Hutch is lively yet casual, with a strong emphasis on innovative and collaborative work. Fred Hutch is housed in a lovely campus next to Lake Union a short walk from downtown, and a convenient shuttle from the University of Washington.
Fred Hutchinson Cancer Center (Fred Hutch) is an independent, nonprofit research institute based in Seattle, where interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer and other life-threatening diseases.
Responsibilities
Responsibilities include:
- Developing statistical methods for integrating diverse data sources, evaluating the clinical and population utility of risk-based cancer screening.
- Developing risk prediction models using lifestyle, environmental, genetics, and cancer screening data.
- Specific areas of interest include survival analysis, causal inference, risk prediction, cancer screening, and observational data analyses.
- The fellow will have real-hand data analysis experience by participating in large collaborative studies, in which rich data on tumor genomics, germline genetic, lifestyle and environmental risk factors on multi-ancestry populations have been collected.
Qualifications
MINIMUM QUALIFICATIONS:
- Ph.D. in statistics or biostatistics, or related degree with strong skills in applied statistical methods development, data analysis, and computation.
Application Instructions: Applicants should provide a CV, a short statement of research interests, and contact information of three referees uploaded with your application.
The annual base salary range for this position is from $77,976 to $95,014.40 and pay offered will be based on experience and qualifications.
This position may be eligible for relocation assistance.
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).
Additional Information
We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. 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 desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.Your search for "" did not match any of our available careers. Please try another search term or combination of terms and filters.